DoctorDean
What I built.
Dean Sherry
Cerebral Valley · Anthropic · 2026-07-07 to 2026-07-14
Public gallery: every submissionEvent page ↗
What I built.
Dean Sherry
I used Claude to train a protein language model that can generate an extremophilic version of any enzyme, maintaining its function, while allowing it to survive extreme temperatures, pH, salinity, etc.
Jaymin Patel
Diffuse midline glioma is a paediatric brainstem cancer that is almost uniformly fatal: about ninety percent of children die within two years, and the first systemic drug, approved in 2025, does not cure.
Faith Ogundimu
About Trialign is a patient-facing clinical trial matcher for oncology.
Neil Wang, Jules Park
Hippocampus AI is the memory and reasoning engine for scientific discovery.
Many primates are sexually dichromatic — males and females are different colors.
Tina Lasisi
Hi!
Shereen Lee
Motif is a molecular-biology workbench that runs inside Claude Science as a plugin.
Jacob Vogan
PerturbGate is an open-data, reproducible pipeline that turns a genome-scale primary human CD4 T-cell Perturb-seq screen into evidence-gated mechanism hypotheses — not another ranking of hits.
Margarita Soloshenko
SpatialScribe is a self-serve copilot for imaging-based spatial transcriptomics (Xenium, CosMx, MERSCOPE, and whole-transcriptome Atera).
Paul Gueguen
Vellum is a glass-box agentic ICD-10 coder.
Fareed Khan
Verastar is a morning literature harness built by and for a busy vascular surgeon who can't read the hundreds of papers published in her field each month, yet can't afford to miss them.
Marissa Famularo
SecondLook is a trust layer for an AI basal cell carcinoma detector, built for a dermatopathologist, Mohs surgeon, or dermatologist reading skin-pathology slides under real clinic load, where long days and fatigue nudge
Edward Yi
built two open-source tools that solve problems I kept seeing in computational biology.
Samuel Bharti
CuraVar is a "show your work" assistant for classifying genetic variants.
Husnain Arif
**What we investigated.** ML leaderboards present ranked models with narrow error bars, which reads as evidence of predictive strength.
Dewei Hu
G-perturb re-ranks drug targets from a genome-scale CD4+ T-cell Perturb-seq screen by whether each effect is dependable, not just by how large it is.
Che Cheng
NOTE: Please read the manuscript in github.
Jaron Mohammed
I built Stanza to chase a frustrating question: when a resistance mutation kills a cancer drug, can you get to a redesigned molecule in minutes instead of years?
Ayush Kumar
We mapped the causal control architecture of a human immune cell and used it to nominate druggable, disease-relevant targets.
Syed Sabih ur Rehman
PaedScale — a starting pediatric dose from adult pharmacokinetics, with a cited rationale Most drugs are never trialed in children, so when a kid needs one that has no pediatric label, clinicians extrapolate the dose by
Dhruvik Pandya
AI now designs synthetic enhancers meant to switch a gene on in one cell type and stay silent everywhere else.
Ubaidullah Shuaib
Science has always started with people with a question, an idea, and the work to turn it into a finding.
Lucas Stoffl, Abhishek Thanki
Sequence-to-expression "oracles" (Enformer, Borzoi, AlphaGenome, Evo2) and the generative-DNA designers built on them all aim to predict how cis-regulatory DNA sets a gene's expression.
Qihao Duan
OocyteZero asks a concrete question behind a disease that affects up to 1 in 8 women: can today's DNA-reading AI models name the single causal base at an unsolved PMOS (polycystic ovary syndrome) genetic locus?
Jose Contreras
When two well-run papers disagree, it is rarely because one of them is wrong.
Nick Lamb
To understand how Alzheimer’s disease reshapes the brain’s regulatory landscape cell type by cell type, I used Claude Science to analyze Droplet Paired-Tag data from 10 donors across the hippocampus and cerebellum.
protocol-to-data turns a clinical trial protocol into a validated, analyzable synthetic SDTM dataset in one Claude-driven agentic loop.
Chetan Tamballa
Immune checkpoint blockade (ICB) reactivates T cells to kill tumors and has transformed cancer treatment, but many patients don't respond.
Shanshan Yin
I tested a specific, high-stakes question for disease genetics: can today's best sequence-to-function deep-learning models (AlphaGenome, Borzoi, and the DeepSEA/Basset lineage) predict the DIRECTION — up or down — of a n
Anuj dev Singh
I built Clinical Digital Twin, an open-source R system (Shiny/plotly dashboard, plumber API, SQLite, and a Telegram bot powered by Claude) that gives clinicians in elder-care institutions a personalized, interpretable mo
Daniel Gallardo
OPUS-ET-AGENT: agent-conducted cryo-electron tomography Cryo-electron tomography (cryo-ET) is the only technique that resolves macromolecules at near-molecular detail inside intact cells.
Zhenwei Luo
Panoscope is a grounded interpretation layer over jazzPanda's spatial-transcriptomics output.
Xinyi Jin
Everyone builds bigger models to predict what a gene knockdown does.
Lukas Weidener
Cell-Type-Resolved Chromatin Effects of AD/PD Variants: DNA Language Model vs.
DeepPro-v2 is a multi-view, multi-backbone deep learning model for prokaryotic promoter prediction across 23 species.
Johnson V
Evolution Arena is an interactive 3D WebGL survival game that turns evolutionary biology into something you can experience rather than simply read about.
JJ Ben-Joseph
I created a workbench where you can name a protein and specify an objective in simple terms, and the agent will then manage the entire campaign.
Chinmay Pala
Repertoire2Structure (R2S) is a multi agent pipeline, orchestrated by Claude, that turns a raw 10x single cell TCR repertoire into QC'd predicted TCR to peptide MHC structures for its top clonotypes, with honest specific
Kilian Maire
Molaro is a next-generation molecular dynamics environment built as a VS Code extension.
Dominic Fico
Determining whether a cancer patient responds to immunotherapy, detecting contamination in food and water, measuring mitochondrial membrane potential: scientists depend on flow cytometry.
Markus Sommer
Myomatlas is an open, image-based decision-support tool for abnormal uterine bleeding, one of the most common and most under-addressed problems in women's health.
GeneGround is a claim-level grounding layer for AI-generated omics interpretations.
Rhea Zhou
Clonal Compass is a single-cell immune-repertoire co-pilot for paired scRNA-seq + TCR-seq data.
Trish Whetzel
Litmus reads a scientific paper and tells you how much to trust it before you build on it.
Aarush Agarwal
GLP-1 drugs like Ozempic are among the world's most prescribed — and in 2023 regulators opened suicide investigations after adverse-event databases lit up, even though the randomised trials showed no such risk.
David Fraile Navarro
Cellarium is a tool for asking questions of the whole-cell model of E.
Evangelos-Marios Nikolados, Filippo Menolascina
Enactome is a connectome-constrained simulation platform that loads the BANC Drosophila connectome (composed of 158,262 neurons, 3,990,039 synapses), signs each synapse by its presynaptic transmitter, and evaluates circu
Mehmet Kerem Turkcan
Clinibrium is a clinical decision-support co-pilot for the otoneurology clinic, developed with a subspecialist otolaryngologist.
Manuel Pena Zuniga
Litmuz is a claim-level verification layer for life-sciences research agents.
I built Mechanome, a physics-first inference engine that recovers mechanical forces in cells from protein structure and microscopy.
Jophin George Joseph
I investigated a failure mode of agentic science: as an agent forks approaches, revises an upstream step, and re-runs, a final result can quietly come to rest on stale or version-conflicting inputs.
Sergey Aganezov
Seqcolyte is an open-source, protocol-aware platform for sequencing quality control and root-cause diagnosis.
chilam p
Norn (https://norn-five.vercel.app/) is a variant-interpretation copilot for clinical geneticists.
Vignesh Nagarajan
## Project description — agent-eln ### What I built **agent-eln** is an AI-native lab operating system: a single git repo that unifies an Electronic Lab Notebook (ELN), a Laboratory Information Management System (LIMS),
NeuroVas Copilot: An Interrogable 3D Aneurysm Reasoning Tool What we built Unruptured brain aneurysms present a difficult decision: treat now with clipping, coiling, or a flow diverter, or monitor and wait.
Garvit Jain, Ronuk Gadamsetty
Sourced is a provenance-first medication safety review tool for clinicians and pharmacists.
Railly Hugo
Persona is a persistent, always-on synthetic researcher for the biomedical literature.
Aryan Singh
NUDGE — an "honesty engine" for AI-driven science.
Nicholas Roy
Two open-source tools, built with Claude, that catch expensive biology failures early — on public data, as decision-support (never a diagnosis).
PYRIN-PLAQUE Digital Twin investigates whether MEFV/pyrin inflammasome biology can be separated from the saturated NLRP3 atherosclerosis story and mapped to human plaque cell states using only public data.
Ibrahim Halil Tanboga
INTEGRITY is a forensic scanner for life-science manuscripts.
Javier De Jesus
Most people's medical history is a pile of PDF lab reports — one per clinic, each in its own layout, none of them talking to each other.
David Castro
We investigated whether a genome-scale CD4+ T-cell Perturb-seq screen contains reproducible regulatory architecture beyond ranked hits, statistical noise and connectivity hubs We built a quality-audited regulator × gene
Santiago Silva
▎ PaperTrail is a provenance-grade verification platform for clinical-evidence claims.
arhan subasi
Co-localization of signaling molecules to a stable cell-cell interface is a key prerequisite for signaling in systems such T cell activation.
John Proudfoot
Traumatic brain injury and inherited genetic risk both raise the odds of Alzheimer's, but no one had shown they act through the same mechanism.
Mickey Pentecost
Problem.
Chunyi Liu, Assaf Magen
Specimen Casebook is auditable data reconciliation for biodiversity collections.
Keigo Takahashi
What it is.
Sujit Shelar
CellVerdict is a multi-method consensus annotator and trust layer for single-cell RNA-seq data.
junseong kim
We set out to build a machine-learning classifier that predicts a clinically meaningful vaginal-microbiome state from a baseline metagenomic profile, using only public data.
Kinga Zielinska
RegScope- Now available at https://auronideep777.github.io/RegScope/ https://github.com/auronideep777/RegScope The short version: RegScope is a small suite of browser-based tools that do one connected thing: read a piece
Auroni Deep
Right now, 57 million people are living with dementia — one more begins to forget every three seconds.
Klaudia Kromolowska
Scientists in different roles ask the same question and need different answers.
Keerthi Harikrishnan
Spatial perturbation transcriptomics aims to measure how a genetically edited cell affects surrounding tissue.
Tianxiang Dai
Strata is a living meta-analysis like tool for the teams who depend on evidence.
Clinical datasets that could move research forward sit unused because two questions are hard to answer together: is this use consented, and is the data de-identified enough to share?
Abhishek Srivastava
In one week, I turned a biological question into a journal-ready paper and reproducible biomarker.
Fridolin Haugg
I ran my tool on published, peer-reviewed data from the Wilbrecht lab at Berkeley (DANDI:001340, dopamine in the nucleus accumbens during reward learning).
Demir Ege Ortac
I built an interactive analysis that separates cell-state composition from cell-intrinsic gene regulation in 1,714 acute-leukemia RNA-seq samples.
Onur Karakaslar
I took one disease from idea to an investable program in a week and then turned that workflow into open AI agents for any disease.
Ruth-Anne Pai
I built OmniGate, a tool that answers questions about real single-cell perturbation data in plain English, and shows its work.
Kian Khooban
omicau (Omics Audit) is a reproducible, leakage-safe command-line tool, with an optional no-code web interface, that audits a multi-omic dataset before anyone trusts a predictive result.
Tuna Birgun
I created PKU Commons, a framework for developing and maintaining a phenylalanine estimating app usable for both managing the dietary requirements of PKU as well as clinical and research purposes.
Nina Kilbride
We built a directional readout of organelle dynamics.
Taras Nazarov
Project: We benchmarked whether Boltz-2 (an AlphaFold-class structure predictor) can substitute for a binding measurement, testing two complementary questions across two systems: does its confidence score rank affinity (
Ryeogang Son
Conserved gene co-expression & regulatory networks across vertebrates — abstract One of the holy grails of biology is to understand how 1 genome can make all the different cell types, each with a unique regulatory networ
Brandi Cantarel
The research question.
Narayana Sarma Singam
BiotechOS — an operating system for running a drug-discovery pipeline.
Sourav Bandyopadhyay
I built Basecase, an AI-assisted genomic research workspace that connects natural-language questions directly to an interactive genome browser.
Every approved atopic dermatitis (AD) drug blocks the type-2 pathway from the outside: injectable antibodies against extracellular cytokines.
Sayane Shome
Autoimmune drug discovery often fails when a gene that looks important in a cell experiment doesn't hold up in real people.
Yukang Jiang
What I built.
Sungwon Jeon
In this project, we established an automated pipeline that seamlessly generates explicit-solvent molecular dynamics (MD) ensembles directly from SMILES inputs, extracts the full distributions of 3D descriptors, and enabl
Sangyeon Lee
Glioma Copilot helps a neuro-oncology clinician and, through them, the patient - decide whether a clinical trial fits this specific glioma patient.
Most drugs for autoimmune and inflammatory disease work by blocking a cytokine everywhere, all the time.
Brakepoint is a genome-scale discovery engine for the next generation of cancer-immunotherapy drug targets.
Chengchen Duan
Living Protocol Copilot A grounded, safety-first copilot for wet-lab protocols What I built Living Protocol Copilot is a web application that transforms static laboratory SOPs into structured, risk-aware “living protocol
Orphan Finder: reliability-aware target prediction for natural products, drug repurposing, and antimicrobial resistance.
James Martin
Mosaic is an MCP server for preclinical target diligence.
Sourabh Nyalkalkar
What we investigated.
Seishin Sakai
SALUS Zero is a clinical training simulator and bedside decision companion for medicine where nothing is available.
Sahin Parlak
NeoVUS is a point-of-care tool for NICU clinicians who hit a variant of uncertain significance (VUS) in a neonatal genomic report.
Moonyeon Oh
Journals now require that Methods declare RRIDs for antibodies, authentication for cell lines, and animal-rigor reporting.
Sharab Ahmad
What I built.
Ritu Chakrawarty
What if a model could say the one word every drug-discovery pipeline needs but no other tool can utter — "unreachable"?
HISTORA is a non-diagnostic, agentic clinical-research navigator built with Claude Code for a clinical/translational researcher.
Matias Molinas
Background & motivation Mesothelioma is an aggressive, asbestos-linked cancer of the pleura with poor prognosis and few effective therapies.
Wayfinder is a hypothesis referee.
Dayanjan Wijesinghe
morphoDE asks a deliberately simple question: where two cell types meet, the boundary bulges outward in some places and caves inward in others—do the cells on a bulge express different genes than the cells in a dent?
Early in a routine lab protocol, piranha acid is prepared, used, and its spent waste poured into an acid waste carboy.
Yuvraj Gupta
We tested a timely scientific question: Does the brain (neocortex) fundamentally compute predictions (so-called predictive coding)?
Proteins are spelled in a twenty-letter alphabet, and every one of those letters is an ordinary Roman letter.
Thomas Stranzl
Most "AI made a discovery" claims collapse the moment someone asks for a control.
Han Wei Tan
PlaqueQTL builds a cell-type-resolved eQTL resource for atherosclerotic plaque entirely from public single-cell RNA-seq — no new sequencing, no genotyping array.
James Hilser
OnLabel is a self-verifying OTC medication-safety assistant for US consumers.
What I built: I built BioSurface Audit, a deterministic tool that verifies the claims in an AI‑assisted single‑cell / Perturb‑seq analysis.
Michael Rothrock
What I investigated: I used the EvE Bio "pharmome" — a single-laboratory dataset measuring 1,397 approved drugs against 256 human targets (kinases, GPCRs, nuclear receptors) under one consistent framework — to ask two qu
Richard Zhu
Negaverse is a Python toolkit for generating biologically informed negative datasets for protein–protein interaction models.
Bailin Zhang, Igor Gerasimov
This is Throughline, a workbench built for patients and families suffering from a rare or chronic illness.
Linus Hansen
I used the genome-scale CD4+ T-cell Perturb-seq atlas from Marson/Pritchard labs as an empirical genotype-phenotype map to ask how the architecture of the T-cell gene regulatory network shaped which Neanderthal variants
Alexandre Gouy
Cadence is an AI copilot for the Learn phase of the synthetic-biology Design–Build–Test–Learn (DBTL) cycle.
Melik Demirel
ClinVal Validator is built for one named user: the clinical-AI researcher who has trained a medical-imaging model and needs to know whether the reported AUC is real or an artifact of how the data was split.
Vitalii Babenko
The user I built for is a genetic counselor holding a variant of uncertain significance in a regulatory region.
Krishna Venkatesh
ShiftScope compares any two single-cell populations, measures how far apart they are, finds the genes driving the difference, and ranks which genes to test next.
TransBench turns a clinician's bedside observation, written in plain words, into a grounded, testable, bench-ready computational experiment.
Kayomarz Darukhanawalla
HLA class I molecules sit at the center of a trade-off: the same allele that helps T cells kill a tumor may also raise autoimmune risk.
Rebecca Nadler
Citera is a trust layer for AI-generated clinical regulatory documents.
Husein Indra Kusuma
Globally, over 15 million people are living with spinal cord injury.
Tien-chen Lin
Aging research is rate-limited by long iteration loops; it may take years or decades to know if an intervention has any effect.
What I built.
Alnur Kengesbay
Target selection is one of the earliest and most expensive decisions in drug discovery.
Qiao Xuanyuan
Most immunogenomic models predict T-cell receptor–peptide binding.
Pardeep Singh
regulatr — cell-type-aware non-coding variant prioritization What we built.
Tarun Naithani
I built the Claude Human Phenotype Project (HPP) Research Harness, a paper-calibrated, local-first research environment for private biomedical cohorts.
Hagai Rossman
I set out to test whether the IL-23/IL-17 therapeutic paradox — the same pathway helping in one organ and harming in another — has a measurable tissue-intrinsic signature in public single-cell atlases, using a preregiste
PORTRAIT turns population health data into a per-patient passport - calibrated position, honest uncertainty, and what genuinely stands out - and refuses when the data cannot support a description.
Daniela Oehring
EvolvingScholar is an AI "research trainee" that learns the way a real medical trainee does — mentor-guided and improving across a *sequence* of gene–disease projects.
Basepair watches for one specific kind of preventable mistake.
Tyler Gibbs
Disease predisposition arises from complex, multivariate gene regulation, yet conventional approaches typically nominate a single target gene and fail to capture the underlying regulatory network.
Octopus is a wet lab operating system.
Clement Djezvedjian
Why it matters.
Peter Thompson
Traxome is a deterministic biomedical interpreter: it turns any symptom, gene, variant, or drug into a fully-sourced evidence dossier for patients, clinicians, and researchers.
Kenneth Kusima
We built An Agentic Interface Over Existing Wet Lab Equipment Most lab equipment today is very difficult for researchers to use.
dhruv agarwal
What we built: A genome-scale CRISPRi Perturb-seq screen in primary human CD4⁺ T cells turned into a working target-discovery system — not just an analysis.
Hsiangwei Huang
Synthetic lethality is one of the cleanest routes to targeted cancer therapy, yet it remains understudied, and most cancer-screening data sits siloed behind deep expertise.
Matthew Zamora
MMC - the Mechanistic Model Compiler AI models that predict what happens when you switch off a gene have a problem: the good ones are black boxes, and they still barely beat a linear baseline (Ahlmann-Eltze, Nature Metho
Anees Ahmed Mahaboob Ali
I built a well curated dataset and then used it to answer 8 key scientific questions.
Chris Thorpe
I carried out a research study, written up as a manuscript, on one of the hackathon's suggested datasets: a genome-scale atlas of what happens inside human immune cells when each gene is switched off.
Eleftherios Pilalis
SeqIntel turns a patent name into a validated sequence dossier, in minutes instead of hours.
Rachit Thariani
KatalistSeek — a grounded reasoning layer over fragmented enzyme/reaction databases.
Jimmy Ouellet
I asked whether tissue-specific AAV regulatory elements could be identified systematically from public single-cell chromatin data, and whether their mouse-to-human translatability could be predicted before any wet-lab wo
Karina Herlambang
SurvivalLadder is an open-source screening tool — ten Galaxy tools, a Snakemake pipeline, and a Shiny app, all calling one identical R analysis core — that tests a user-defined geneset, a directional _UP/_DOWN signature,
Sergio Oterino Sogo
Recent progress in mass spectrometers and softare drive protein identification from a single HeLa cell to more than 6000.
Human accelerated regions (HARs) are widely interpreted as developmental enhancers, and human-specific substitutions are known to alter their enhancer activity and transcription-factor binding — but systematically only i
We are two medical oncologists in London who code.
Jie Lam, Adam Pennycuick
What I built: Ratify convenes diverse AI "labs" (each a small crew of persona-driven agents (a PI, members, and a critic)) running on different Claude models and seeded with a distinct scientific worldview to attack one
I built a benchmark and a prompt-level "closed-world grounding" layer that measurably reduces hallucination when an LLM writes investigation summaries for genetic variants of uncertain significance (VUS).
Fernando Rodrigues
We asked a simple question of a genome-scale CRISPRi Perturb-seq screen of primary human CD4+ T cells (Marson & Pritchard labs): which single-gene knockdown pushes a T cell's transcriptome opposite to active autoimmune d
Ze Yu, Dinesh Ravindra Raju
One-sentence summary: I rebuilt the SARS-CoV-2 host interactome from the Krogan lab's raw AP-MS data using a novel updatable confidence score that lets structural and chemical evidence rescue borderline interactions, and
Pedro Miguel Belio Mairal
WHAT WE BUILT • OCTB (Optical Compatibility Test Bench) — try a camera/lens/light swap in software before buying hardware, and prove the instrument still gives the same answer.
Jaiganesh Srinivasan
Enormous AI spend goes into building biomedical knowledge graphs — and almost all of it is private or paywalled, rebuilt from scratch behind every company's walls and stale within a year.
Elis Samskog
I built BALL-RL: Bayesian Anchored Latent Learning for Reinforcement Learning, a framework for learning personalized treatment policies when the clinically meaningful patient state is measured only intermittently.
Jason Gibbons
What I built.
Angelo Orru Neto
Aitiome grades whether an environmental chemical has mechanistically-supported links to Parkinson's or Alzheimer's.
Cardiac models are routinely fit to an ECG and their conduction parameters reported, but a prior question is rarely asked: which of those parameters can an ECG actually determine?
Ricardo Garcia Ramirez
I built HAR-annotator, a glass-box pipeline for ranking Human Accelerated Regions — short stretches of DNA that stayed frozen across mammals for a hundred million years, then changed fast only on the human lineage, makin
Natalie Chen
What I built Clinical trials fail for predictable reasons.
Ragul Seetharaman
vcf2report turns a raw exome VCF + the patient's phenotype (HPO terms) into an auditable, clinical-grade ACMG variant report — locally, offline, in seconds.
Gustavo Barra
What I built.
Victoria Wang
Heart failure switches off OPLAH—a protective enzyme that clears a toxic metabolite—and no one had mapped where its known activator binds because OPLAH has no solved structure.
Jose Esquivel
Perturbation screens often rank genes by effect size, so a gene that changes many transcripts can be mistaken for one that actually controls cell state.
Most new drugs fail, and the most expensive mistake is made years before a trial begins: choosing the wrong target (the specific protein a drug is designed to act on) for a disease.
Aimie Garces
Thirteen real BCG trials.
Anya Chueayen
ChannelScope builds standardized, provenance-tracked context-graph objects for multi-omic biology — the structured groundwork that purpose-specific "omic" models need but rarely have.
Rajiv Sangle
I have found a principled way to recover known and find new drug targets using the t-cell perturbation data for any disease whilst highlighting the interpretability of how those drug targets affect the proceeding biologi
Dylan Setiawan
The same search that produces adversarial examples—driving a model’s prediction up by making small changes to its input—can be turned into a tool for designing biological sequences.
Ajay Rangarajan, Jeyashree Krishnan
AstroOmix is a Claude-powered research application for analysing space-biology data without overstating what limited datasets can support.
Yoga Mithra Senthil Kumar
VPS - Variant Priority Score Current genetic-testing tools (ClinVar, InterVar, Franklin) can only classify variants that already exist in reference databases - roughly 80% of which are European-ancestry.
Nirmala Kadali
Exercise interventions offer profound systemic benefits, yet patient adherence remains a major clinical hurdle.
Steve Hershman
Claymore is an autonomous experimentation platform that gives scientific laboratories a persistent intelligence layer capable of conducting research on their behalf.
Rikhil Tanugula, Rikhin Kavuru
Everyone building research agents runs into the same quiet question: once you have one, how should you set it up to do its best work?
Fabian Baezner
## What we built / investigated We mined a genome-scale CRISPRi Perturb-seq atlas of about 22 million primary human CD4⁺ T cells to discover **novel drug targets**.
Qiuchen Meng
Drug-resistant infections kill ~1.27 million people a year, and the hard part isn't naming a resistance gene — it's finding the reversible opening resistance leaves behind.
Akhi Chappidi
Atlas: every lab has a taste.
Ellen Schrader
AGEFOLD — A CONVERSATIONAL AI TO DECODE THE BIOLOGY OF AGING WHAT WE BUILT AgeFold turns a massive structural-proteomics dataset into something anyone can talk to.
Xiaojing Sui
Single-cell RNA-seq conclusions fail peer review on the statistics while the biology holds up.
Pablo Manjarres
The bottom line: An AI agent that reads why an approved cancer drug failed a tumor — then designs a new antibody–drug conjugate (ADC) engineered to dodge that exact resistance.
Lance Cadang
What we built / investigated.
Germinal-center (GC) selection is almost always modeled along a single axis — antigen affinity.
Duck-Kyun Yoo
Structure-based machine learning has ridden one wave: AlphaFold made static structure cheap and universal, and models like FeatureDock, Boltz-2, and DiffDock-L now predict binding from a single frozen pose.
Andres Lira, Natesan Mani
Protein conformational rates are hard to compute: the transitions are rare, so brute-force molecular dynamics almost never sees them.
Michael Kim
I built Lab Brain, a tool that turns any biomedical lab project — its code, slides, data, papers, and notes — into a shared knowledge base that both Claude Science and Claude Code can read and write.
This project presents a causal-structure-oriented, interpretable pipeline for modeling influenza (H3N2) antigenic distance from hemagglutination-inhibition (HI) data and HA sequence alignments.
sriram vijendran
I built Spacefarer Phenome, a genetics-first computational drug-discovery pipeline for spaceflight physiological stress, anchored on bone mineral density (eBMD).
Rakhan Aimbetov
I built DN-Isoform Scout, an end-to-end computational proof of concept for discovering an underexplored class of cancer mechanisms: dominant-negative proteins that lose their normal function but retain the ability to ass
Mateusz Mendel
Speciate is an automated pipeline that turns a TEM micrograph of gold nanoparticles into the three numbers a nanoparticle lab needs on every batch: mean size, size distribution, and — the hard one — how aggregated the pa
Eun Sohl Koh
sc-referee automatically checks single-cell analyses for statistical mistakes that commonly slip through analysis and review.
Alexander King
Anchor is a retrospective reproducibility agent for bioinformatics.
Maxime Blum
Which neurons die first in Alzheimer's, and why those?
Tamara Vasilkovska
CADENCE makes Parkinson's disease trials smarter and more cost-effective.
Joanna Dragich
AI-predicted protein interactomes from AlphaFold-Multimer are now published as catalogues of "high-confidence" complexes and mined for drug targets.
Akshay Kumar
Clinical geneticists interpreting a patient's DNA constantly hit "Variants of Uncertain Significance" (VUS): changes where the evidence isn't enough to call them safe or harmful.
Complex revascularization — left main, multivessel, frailty — sits in genuine equipoise.
MATIAS IGNACIO PINCETTI SAUTEREL
We built the first world model of the cell — and, we believe, the first to unify all four of its axes into one shared state.
Yuchan Lee
What I investigated My PhD work showed that inhibiting the p38 kinase in mouse models of breast cancer sensitizes tumors to immune checkpoint therapy, and that it shifts the CD4+ T cell compartment away from immunosuppre
Priyanka Rajan
VERITAS is an independent verifier for AI-generated single-cell findings.
Sreenath Menon
Tanvi Sinha is an experimental cardiovascular biologist at UCSF.
Jan Lebert, Tanvi Sinha
I built the QSAR Cosmetics Skill for Claude & Claude Science to accelerate the safety assessment of cosmetic ingredients.
Nicoleta Spinu
BGCFlow is the standard pipeline for mining biosynthetic gene clusters (BGCs) across bacterial pangenomes, but its output is hard to interpret without expert time, and every novelty-relevant stage (antiSMASH, MIBiG, Pfam
Kayla Azima
What I built: GlycoTwin, an open mechanistic digital twin connecting a bioreactor knob to the antibody's Fc N-glycan — a quality attribute governing potency, half-life, and immunogenicity.
Chadakarn Sirasitthichoke
Anveshar is a reproducible research workbench for rare cancers, built to run from inside Claude Science.
Dig Vijay Kumar Yarlagadda
This project analyzed an in-vivo single-cell CRISPR Perturb-seq screen of tumor-infiltrating CD8 T cells (Zhou et al.
A logic-gated target-discovery pipeline for triple-negative breast cancer (TNBC).
claim-check — a reproducibility auditor for agentic single-cell analysis.
Mira Arguelles
### What I built and investigated Regulatory-variant prediction models are commonly evaluated against massively parallel reporter assays, or MPRAs, as though the assay were direct ground truth.
Shadi Shafighi
We built The Human Branch: a Claude Code agent that drives Claude Science as a headless lab and enforces the scientific method in code, so it cannot fool itself into calling a gBGC artifact a human innovation.
We built dbCAN4-advanced, an end-to-end research and software platform for annotating fungal carbohydrate-active enzymes, or CAZymes.
Xinpeng Zhang
FluxForge is a disease-agnostic, Model Context Protocol (MCP) server that fuses primary literature, regulatory/PPI networks, and genome-scale metabolic models into an executable CRISPR gene-dependency and drug-target dis
MutationRx turns an unreliable computational method into a decision an oncology researcher can act on, by pairing physics with judgment.
Ricardo Perez Castillo
AgingPrint is a perturbation-informed immune aging clock that decomposes CD4+ T cell aging into three independent biological programs: pro-aging transcription, anti-aging transcription, and naive T cell composition.
Jackson Schumacher
PertEMA is a post-hoc, model-agnostic reliability layer for single-cell perturbation-effect predictors.
Bishal Shrestha
Iaso helps clinicians and patients recognize and navigate interventional options for severe cancer pain that persists despite escalating medication.
**Agentic Chroma is an MCP server that gives an AI agent the role of a human operator at a Waters chromatography workstation.** From any MCP-capable Claude client, a researcher runs liquid-chromatography experiments in p
I'm a backend/infrastructure engineer at Uber with no wet-lab background.
Shiven Tripathi
Which pair of cell-surface proteins marks prostate cancer cells while sparing every healthy human cell type?
William Guesdon
Please check the final report on the GitHub repo!
Dongwoo Kim
SVBench AI is a Claude verdict layer for structural-variant callers.
Ramanandan Prabhakaran
I built PerturbScope, a dashboard that helps wet-lab biologists, clinician-scientists, and hybrid researchers turn large CRISPR Perturb-seq screens into reviewable target shortlists.
Yu-Tian Xiao
Tumor mutational burden (TMB) is our best predictor of immune checkpoint blockade (ICB) response, yet it's only modestly accurate (AUC ~0.6) and reads DNA alone.
Labs buy pipetting robots and then barely use them, because using one means writing code.
Ainur Nygmet, Junchen Lu
A lab protocol is a document.
Piotr Kulesza
We worked on the Arc Institute Virtual Cell Challenge: given a gene knockdown, predict how the cell’s expression profile changes.
Petr Berlizov
We carry ~100x more microbial genes than human genes (~3.3M vs ~20,000), and we already know microbes signal to us in chemistry — SCFAs->GPR43, bile acids->FXR/TGR5, tryptophan->AhR, some even mimicking our own ligands (
Kenneth Loi, Zhaojun Wang
BioSkeptic is a red team for drug-discovery claims.
Doron Levinson
Flow cytometry underpins immunology and clinical diagnostics, yet its analysis is still bottlenecked by manual gating inside fragmented, subscription-locked GUIs like FlowJo and Cytobank.
Louis is an MCP server + Slack bot that turns a genome-scale CD4⁺ T-cell CRISPRi Perturb-seq screen (Marson/Pritchard 2025) into a discovery-and-memory assistant living inside Claude — no separate app, no API key.
Ricardo Pinho
What I built / investigated.
Dabin Jeong
Most oncogenic drivers — transcription factors, chromatin modifiers, scaffolds, DNA-repair proteins — are "occupancy-undruggable": they have no pocket a classical inhibitor can bind.
Weicheng Li
Labs don't sample variants randomly.
Sanjana Avinash Taware
Aquiles — auditable, host-directed antiviral target triage for Aedes arboviruses What we built.
Marcus Antonio Cardoso Ramalho
I rebuilt nature's strongest molecular motor — the phi29 gp16 DNA-packaging ATPase — as a single programmable protein, entirely in silico.
The standard way to detect interacting proteins (a method called DCA) assumes both organisms evolved together on the same family tree.
The Gene Program Interpreter is a Claude Skill for context-aware interpretation of gene programs from Perturb-seq and single-cell data.
Xiaochen Fan
APOE genotype is fixed at birth, yet Alzheimer's appears decades later.
Naisha Shah
Data Ingestor turns the hours a data curator spends hand-reformatting every CRO's differently-shaped Excel/CSV into a one-click review.
Mesrop Tarkhanyan