Supporting research to transform life, health and wellbeing. We’re taking on three urgent health challenges: mental health, climate change & infectious disease.

Wellcome Leap builds bold, unconventional programs and funds them at scale.

statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own

The UK’s largest public funder of research. Our mission is to advance knowledge, improve lives and drive growth. #FundedByYou Also autoposting to @news.ukri.org, @funding.ukri.org, @blogs.ukri.org and @events.ukri.org. Topic specific feeds coming soon!

BHF Intermediate Fellow, Group Leader Investigating placental and cardiac vascular development in pregnancy pathologies - miscarriage, congenital heart defects, fetal growth restriction. kalischsmithlab.org IDRM, University of Oxford 🇬🇧 PhD UQ 🇦🇺

Post-doc in statistical genetics at the University of Lausanne. Working on developing new techniques for observational causality and validation datasets on which to test our inferences

Professor, UW Biology / Santa Fe Institute I study how information flows in biology, science, and society. Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b LLM course: https://thebullshitmachines.com Corvids: https://tinyurl.com/mr2n5ymk he/him

Department within the University of Oxford leading research, education, and clinical studies in women’s and reproductive health. Our vision is a world where high-quality, evidence-based care is accessible to all. #womenshealth #reproductivehealth

#MRC CDA fellow, University of Oxford, long-read sequencing| single-cell technology development| multiple myeloma| bone cancer

Nematode antagonist

Health Data Science DPhil Oxford University | Digital Histology | Women's Health

Statistical Geneticist, Group leader at University of Lausanne/Unisante, father, climber, runner

Using genetics to understand fetal growth and what it can tell us about diseases of pregnancy and later-life. Professor and research group leader at University of Exeter.

Long Time Internet Guy

🎓 Dual major in Computer Science & Biological Sciences @Seoul National University 🧬 Research intern @SteineggerLab https://github.com/steineggerlab 🚀 Developer of Metabuli App and TaxoView

Scientist and Group Leader of the Simons Machine Learning Center @SEMC_NYSBC. Co-founder and CEO of http://OpenProtein.AI. Opinions are my own.

Associate Professor of Bioengineering, Berkeley. Living in an RNA world. lareaulab.org

Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own

AI researcher excited about biomolecule design 🧬 PhD student at the University of Cambridge Prev. at FAIR, Prescient Design, and MRC LMB 📝 https://chaitjo.substack.com

Prof of AI at QUT, Australia Interest in Machine learning applied to health. #selfsupervision #machinelearning #unsupervisedlearning #VAE #autoencoder

Former engineer • Ph.D. student in Biology interested in structural evolution of plant resistance proteins, pathogen effectors, and the generative design of proteins • co-advised by https://bergelsonlab.org and https://huanglab.rbind.io • Art enthusiast

AI in Bio & Health & Therapeutic Development Bio: https://linktr.ee/mnarayan Substack: https://blog.neurostats.org Peek into my brain: notes.manjarinarayan.org Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS 🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩‍📈📉

Research lab at Princeton University led by @adjiboussodieng.bsky.social. We work at the intersection of artificial intelligence (AI) and the natural sciences. Visit https://vertaix.princeton.edu to learn more. #AI4Science

Co-founder of briefly.bio · Making lab documentation feel good · Previously, researcher in adaptive immunity and protein evolution.

Director at ZS Associates and ex-PI of https://jensenlab.org. AI, network biology, omics, and text mining. 100+ videos on https://youtube.com/larsjuhljensen.

Thanks for coming to “Foundation Models for Biological Discoveries” (FMs4Bio) @ AAAI 2025!

Machine Learning Scientist @ Imprint labs decoding the adaptive immune system, see http://giulioisac.github.io

Father, husband, human, founding fellow @recursionpharma, scientific director @valencelabs, adjunct professor & senior fellow @UUtah

Scientist, teacher, mentor, mom. Definitely not the gov of IA. Interested in systems biology, molecular evolution, bacterial genomes, protein engineering, and synth bio.

grad student at mit studying dynamics of (directed) evolution and protein biology with assistance from liquid handling robots.

Digital Biology @NVIDIA

PhD Candidate @ Berkeley MCB

Postdoc @hertie-ai.bsky.social | PhD @maxplanckcampus.bsky.social & unituebingen.bsky.social | Interested in Computational Neuroscience, Data Science & AI 🧠🤖 | Science Podcast https://linktr.ee/i_am_scientist 🎙️🧬

We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.

Group leader at the Josep Carreras Leukemia Research Institute. Passionate of single-cell genomics and ML! Advancing personalized therapies for cancer and beyond. #singlecellgenomics #Immunotherapy

PI of the machine learning for Integrative genomics lab @pasteur.fr and @CNRS.bsky.social #NewPI #DiversityEqualityInclusion Single-cell, multi-omics, machine learning

Prof of Computer Science and Life Sciences @ EPFL Previously @ Stanford ML🤖+Bio🧬 https://brbiclab.epfl.ch/

🧬Bioinformatician in Steinegger lab, SNU, Korea 🤍Interested in protein structure and software development 🤺Live double life as a fencer

Developing bioinformatics software in Steinegger lab. at Seoul National Univ.

Bioinformatics PhD Student Steinegger lab, SNU, Korea

🎓 ECE @Seoul National University 🇰🇷 Grad student @SteineggerLab

Integrated Ph.D. program at Steinegger Lab @martinsteinegger.bsky.social Majored in Bioscience at @Seoul National University

Studying RecSys, Bioinfo @ Seoul National Univ. 🇰🇷 • former Steinegger Lab • 🧠 → 🧬 → 💻

https://willett.psd.uchicago.edu/ Worah Family Professor, University of Chicago National Institute for Theory and Mathematics in Biology (https://www.nitmb.org/) Institute for AI in the Sky (SkAI, https://skai-institute.org/)

PhD student in Computational Structural Biology @Utrecht University ML for structural bioinformatics

CS PhD student NCI & UMD

Senior lecturer in Computational Biophysics @ University of Edinburgh molecular simulations, machine learning and baking enthusiasts. Occasional mathematics outreach

Core Investigator @ Arc Institute | Associate Professor @ UCSF | {Computational, Systems, Cancer, RNA} biologist | Co-founder @exaibio @vevo_ai

Assistant Professor at UC Berkeley and UCSF. Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/

Encode AI for Science Fellow (Pillar VC / Imperial College London) Protein Design, PhD in machine learning for structural biology at UCL

Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey

PhD candidate at MIT CSAIL. Generative models, protein design. Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University. Website: https://people.csail.mit.edu/jyim/ X: https://x.com/json_yim

PhD student @EPFL 🇨🇭 ML & computational biology 🤖🧬⚛️

Professor in bioinformatics, Stockholm University. Protein structure lover ( interactions predictions, evolution ..). Using machine learning as a part of AI for Sciences for halv my life. In addition to succén, I sometimes rants about sailing or skiing.

Computational biophysicist, et al. Opinions expressed are my own.

Systems immunologist at Yale, @yalecsei.bsky.social‬, @czbiohub.bsky.social‬ Me: https://medicine.yale.edu/profile/john-tsang/ Lab: https://www.tsanglab.org Center: https://medicine.yale.edu/systems-engineering-immunology/

Science is the best use of ML

PhD Student @CMUPittCompBio.bsky.social / @SCSatCMU.bsky.social Interested in ML for science/Compuational drug discovery/AI-assisted scientific discovery 🤞 from 🇱🇰🫶 https://new.ramith.fyi

Senior Chemøinformatician at Merck | Postdoc@Broad Institute of MIT and Harvard, Cambridge(MA) | PhD@University of Cambridge(UK) | AI, Image Analysis, bioML, -omics data, and Cell Painting for drug discovery. srijitseal.com/tools

Data Scientist Generative AI @BayerCropScience. ML for Plant Biology. PhD @IowaStateUniversity https://www.linkedin.com/in/koushik-nagasubramanian/

Theoretical Physics, RNA, Condensates, Evolutionary Biology, Machine Learning, and Ancient History. Cambridge, UK

Working in functional genomics, machine learning, and single-cell with a focus on multi-perturbation modeling. PhD Candidate in labs of Hani Goodarzi and Luke Gilbert @ UCSF and Arc Institute Comp Bio and ML at Tahoe Therapeutics (formerly Vevo)

Removing barriers to computational drug discovery one bit at a time. Associate Professor in Computational and Systems Biology at the University of Pittsburgh. https://bits.csb.pitt.edu/

Biophysicist｜Damon Runyon QB & NCI Early Stage K99/R00 Fellow at MSKCC w/ @jchodera.bsky.social | @foldingathome.org | PhD with @drgregbowman.bsky.social | Variant Effects, Protein dynamics, Dogs, Games 🇮🇳🇸🇬🇺🇸 My website: https://sukritsingh.github.io

PhD AI for Drug Discovery @QMUL, @EPFL, @MSDintheUK. ex-{@TUDelft, @CureVacRNA}. Researching the intersection of AI and biology to improve human health. 🧬🤖

Computational chemist with a focus on QM, Force Fields, and how ML can aid in both. Also: Cosplayer, LARP writer, birder, occasional science communicator, and several other things. She/they.

Postdoc at @geochurch's lab, @harvardmed | Previously ML scientist @HarmonicDiscov | PhD @ETH | ML for small molecules and macromolecules | Il est où Kadoc?

Senior editor @science.org. Molecular biology, #DNA, #RNA, #gene regulation, #epigenetics, nuclear biology, #chromatin biology, 3D #genome, #synbio, #CRISPR and gene editing, other bacterial immune systems, and #AI in all these

AI Research Scientist @alleninstitute.org | PhD from @ox.ac.uk | prev: intern @msftresearch.bsky.social New England & Novo Nordisk | she/her | kasia.codes

🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.

🧬 Structural Bioinformatics | 💊 AI/ML for Drug Discovery | Geometric DL 🔬 @iocbprague.bsky.social, prev. PhD @cusbg.bsky.social @mff.unikarlova.cuni.cz

Head of Data Science & Engineering at Talus Bio. I post about data science, BioML, AI drug discovery, Python, mass spec, proteomics, and silly things my kids do. I also blog sometimes: https://willfondrie.com/post

Machine learning and genetics @Genentech. Previously CS PhD @Stanford. suragnair.github.io

Machine learning researcher @ D. E. Shaw Research working on ML for quantum chemistry and drug discovery. Big fan of TTRPGs and bouldering.

Generative Antibody Design at Oxford | ovavourakis.github.io | 🇬🇧🇩🇪🇬🇷(🇪🇸) he/him

I develop mechanistic machine learning tools for single-cell and spatial omics data to understand the regulatory patterns underlying human disease dynamics. ai4biomedicine.org

Principal Machine Learning Scientist @PrescientDesign @Genentech @Roche | @NYUDataScience PhD | developing AI agents for scientific discovery in biotech

Principal Scientist @ Somite AI | Computational biology and biomedical data science | Boston, MA | https://mbernste.github.io

computational physicist, pretending to do bio/neuro stuff. Staff Scientist at @zuseinstitute.bsky.social Opinions expressed are solely my own. https://mohsensadeghi.github.io https://linkedin.com/in/drmohsensadeghi

Research Scientist in ML+Bio | Stanford Ph.D. | Google X

tOSU 2020 | WashU PhD Candidate with @alexholehouse👨🏼‍🔬 🖥 | @NSF Graduate Research Fellow | (he/him) | https://jlotthammer.github.io/

Bioinformatics PhD Candidate at University of Illinois Chicago | 3D genome folding | Human genetics https://hammadfarooq.github.io

CS at MIT | AI x bio research at Broad Institute

Bio/ML. Co-founder at EvoScale, worked on Pytorch and StarCraft back at meta. Most likely not skynet.

Computational Biologist at TU Dresden. Interested in how genomes encode their own stability.

✨Cerebellum✨, Neuroimaging, Brain Stimulation, ML & NLP Wellcome Early Career Fellow at University of Oxford 🇬🇧 Formerly Postdoc at Western University 🇨🇦 & University of Cambridge 🇬🇧 PhD at University of Oxford 🇬🇧 https://www.caroline-nettekoven.com

Internal medicine resident at Brigham and Women’s Hospital | Interested in ethics, priority setting, and global health | co-host of @biounethical.bsky.social: biounethical.com

Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement." https://people.eecs.berkeley.edu/~emmapierson/

ML for proteins PhD student at Caltech with Frances Arnold and Yisong Yue Prev: MSR intern, Berkeley alum https://www.francescazfl.com/

Assistant professor of chemistry at the Technical University of Denmark (DTU). Also at Jura Bio. machine learning, statistics, chemistry, biophysics https://eweinstein.github.io/

PhD Candidate at the Lucas Lab, UC Berkeley 🔬🧬 Machine learning for cryo-EM ❤️🎶🎤🎹💃📖🎥✈️🏎️ 🇱🇰 |📍🇺🇸 https://kithminiherath.github.io

AI for drug discovery at Isomorphic Labs. Prev: PhD @ UC Berkeley | 🇨🇦

Passionate about compbio | high performance computing | mathematics | digitalization | cell & gene therapy. Opinions are my own. GitHub: https://github.com/MaeWoods

Genomics, AI, sequence-to-function models, mechanisms of the cis-regulatory code. Investigator at the Stowers Institute.

Microbiome, drugs, phages, ecology, AI, the Bronx