Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time.
http://milanfar.org
Astrophysics Researcher, Canadian Institute for Theoretical Astrophysics, MIT BSc, Harvard PhD
Electrical engineer in Boston. Works on motion control for robots. Likes airplanes, Rust, sci-fi, space, and other stuff.
Researcher at Google DeepMind. Previously Arnold group at Caltech. Making useful molecules!
CS PhD student @Brown | Biomedical AI | IR | NLP.
Bio: https://tassabdul.github.io/
Assistant Prof of Statistics at Rutgers
Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania.
https://www.gemma-moran.com
Aussie 🦘| NYC-based 🗽
PhD student at UMD @piercelab
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
Senior Researcher at @LUMC_Leiden I @RENEW_Global | Genome Editing | Biochemistry | CRISPR-Cas
Ph.D. Student @ ELLIS Unit / University Linz Institute for Machine Learning
Biologist, technologist, husband, dad | 🧬🔬🐟| In situ spatial omics←super-resolution microscopy←single molecule biophysics | Staff Scientist @10x Genomics | prev. Wyss Institute @Harvard / Sysbio @HMS / Univ Tokyo | Views are my own
Postdoc @data science and AI division
#compchem/Molecular Dynamics/Protein Simulation #GROMACS #AI4science
#chemsky #compchemsky
Head of mRNA Platform Design Data Science @Sanofi. R&D in mRNA therapeutics using ML/DL. Formerly @ UTAustin, MIT, MSFTResearch, UW, & Calico. Latest work: gScholar (https://tinyurl.com/3xdfksy6)
Founding AI Scientist @ Graph Tx, Computational physicist turned biologist, interested in deep learning and single-cell technologies 🧬 👩💻 views are my own
AI/ML for early drug target discovery and precision medicine, with a focus on (epi-)genetics. Lead Scientist at Novo Nordisk, London.
Presidential Young Professor @ National University of Singapore. Stanford PhD, ex-Baidu Research Lead. Functional Genomics, Data Science, AI/ML. www.boxiangliulab.com
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
Science, music, photography, computers, VR and more...
Interested in biomolecular simulation, modelling, protein structure, drug design and AI.
CS PhD student @UW working on ML for nanopore protein sequencing
Stanford Primary Care + Clinical Informatics • Milken Scholar • Designer, Innovator, AI realist with health equity at heart. @Columbia @Yale @UnivofBuffalo. Opinions are my own.
https://profiles.stanford.edu/julielee
https://drjulielee.carrd.co
Computational Biologist @ MSKCC's ERIL
Computational Biology, ML, Microbiology, TB | Asst. Prof @ UMass Amherst CICS | Director, SAGE lab | Obsessed with weird microbes
https://people.cs.umass.edu/~annagreen/
https://sage.cs.umass.edu/
Computer Simulations, Computational Intelligence, AI.
Research professor and interim CEO acellera.com.
Lab: www.compscience.org
Scholar: https://scholar.google.com/citations?hl=en&user=-_kX4kMAAAAJ&view_op=list_works&sortby=pubdate
Research Scientist at Google DeepMind. Mostly work on ML, NLP, and BioML. Based in Seattle.
http://ptshaw.com
Researcher in the Center for Digital Genomic Medicine and Ruderfer Lab at Vanderbilt University Medical Center. I do ML research in genetics and healthcare, especially on rare disease! Views my own.
Co-Founder & CTO, @vant_ai
Forbes 30u30 but won't go to jail | prev. ETH Zurich Stanford McKinsey
AI x Bio/Chem. vi/vim
PhD @ UF Chemistry | intersection of comp chem, software, and ML
✨ mdancing with the stars
🔗 https://lexin-chen.github.io/
Postdoctoral Research Scientist, Koo lab at Cold Spring Harbor Laboratory | Deep Learning for genomics
Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
Born too late to explore the Earth
Too early to explore the Galaxy
Just in time to model the cell and climb some rocks
PhD @ UofT and Vector Institute
Molecular modeler @Sanofi, #AppliedMathematics, #MolecularSimulations and #DrugDesign. Tango dancer and world traveler.
Biochemist turned computational biologist and inner astronaut navigating the vastness of the protein universe using 💻. Group leader at @vibai.bsky.social and kuleuvenuniversity.bsky.social🇧🇪 Previously in🇨🇭🇩🇪🇵🇹
🌌 https://pereiralab.sites.vib.be
National lab scientist studying cancer drug resistance through machine learning techniques centered around integration of mass spec (e.g. #proteomics technologies). Recreational skier/climber exploring the Pacific Northwest. Views my own.⛷️🧗🏼👩🏼🔬
Computational biologist @biozentrum.bsky.social. Likes protein structures.
https://ninjani.github.io/
The McCully Lab at Santa Clara University studies the structure, dynamics, and function of proteins towards designing better ones.
sites.google.com/site/mccullylabscu
BS WashU | PhD UW | Postdoc UCSF | Assoc prof SCU
Acamama, PUI, family biking, Bay Area
Computational biologist using omics data (imaging, gene expression) to investigate the impacts of environmental contaminants on biological systems
Group Leader @EMBL-EBI (www.ewaldlab.org)
Asst Prof @ UW-Madison Biochemistry. Protein Engineering, Chemical Biology, Proteomics, Proteases, Enzymology.
ML & protein engineering at http://science.xyz | into papers, pens, plots, puppies, proteins
algorithmic.ink
https://x.com/gottapatchemall
Assistant Professor @HopkinsMedicine @JHUPath
https://scholar.google.com/citations?user=dGBD72YAAAAJ
Computational methods for epigenetic, CRISPR genome editing and single-cell genomics. Associate Professor at MGH / Harvard Medical School. http://pinellolab.org
Senior Researcher at Microsoft Research New England. ML/AI for biological discovery: microscopy, proteins, single-cell.
Machine Learning in Structural Biology workshop co-located with NeurIPS 2025 & at EurIPS 2025. Dec 7. San Diego, CA
http://mlsb.io
Research in AI for Protein Design @Harvard | Prev. CS PhD @UniofOxford, Maths & Physics @Polytechnique
BME & CS @Duke | Protein Designer @ColumbiaMed
PhD Candidate @ the University of Washington's Institute for Protein Design | Baker Lab | Machine Learning for Protein Design | Enzymes
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
PhD Candidate in Computational Biology @ University of Pittsburgh. Working on deep generative models for molecular structure. iandunn.io
Mathematician studying topology in biomedical data | Project leader of the Topological Learning in the Life Sciences group, Max Planck Institute of Biochemistry | Previously at EPFL & Oxford Maths | 2022 L’Oréal-Unesco #ForWomenInScience Fellow
PhD student at UC Berkeley
Machine Learning for Protein Engineering
co-founder and CEO at Ginkgo Bioworks
Former Chair of National Security Commission on Emerging Biotechnology
PhD @ Cambridge in AI for Bio | Interested in generative modelling for drug discovery and science policy 🇬🇧
Website: cch1999.github.io
Blog: harrisbio.substack.com
Database: harrisbio.notion.site
PhD student at Uni of Cambridge, UK 🔬 | AI for protein design & engineering 🧬 | biotech & environmental applications 🌱 | enzymes 🏗️
🇦🇹🇨🇭
ML for cancer diagnostics @HederaDx, @EPFL alumni - Tweets about tech + bio / food + tech
Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. Prev. intern @genentech.bsky.social & @novartis.bsky.social, MSc @icepfl.bsky.social
AI for Antibodies. Views my own.
Graduate student at Baker Lab, University of Washington | Protein design | Machine Learning
PhD student in Milles Lab | Passionate about protein design | 🥼&💻 | Formerly with Sereina Riniker (MD), Noelia Ferruz (ML), Bruno Correia (Protein Design) & Kai Johnsson (Protein Engineering)
Webpage: https://ldornfeld.github.io/
Broadie. deep learning; synthetic biology; single cell genomics; non-linear dynamics. opinions are my own.
Latest work: https://www.biorxiv.org/content/10.1101/2024.12.30.630741v2
Building better software for scientists @sphinx_bio
Generative models for protein design.
Group leader at CRG
Machine Learning PhD student at Cambridge University, visiting Cornell. Previously at Oxford and Google. Principled ML & applications in medicine.
a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
Researcher at MIT, generative AI for protein design
We are a global community of computational protein engineers and modelers from both academia and industry.
An @omsf.io project organized by @cdbahl.com, @sokrypton.org, and @nickpolizzi.bsky.social
https://bpdmc.org
Protein Design / ML @ Profluent Bio | Molecular Biophysics PhD @ Johns Hopkins
Quantitative immunology lab (PI: Andreas Tiffeau-Mayer)
https://qimmuno.com/
We study human adaptive immunity in health and disease using ideas from the physics of living systems and machine learning.
🦠🧬💻 AI in Life Sciences / PostDoc at EPFL / ETH Zürich PhD
Professor at Colorado State University. Previously MIT Chemistry (Tidor), Stanford Biophysics (Pande), Caltech Chemistry and Chemical Engineering (Arnold). Interests: Protein Engineering, Computational Protein Design, ML, Biomolecular Crystals
Partner Research Manager at Microsoft Research. AI and AI+bio. My opinions are mine etc.
Scientist in discovery data science at Genmab. Previously postdoc at KU_BioML and intern at MSFTResearch. Interested in everything ML and proteins.
Principal Researcher in BioML at Microsoft Research.
Professor at UC San Diego. Computational biophysics, biology, chemistry. Multiscale modeler. Viruses. Cancer. Co-Director of the Airborne Institute.
PhD Candidate | EPFL
Structural bioinformatics
https://parthbibekar.github.io
Genomics, bioinformatics, and some more
AI/ML research scientist @ Novo Nordisk, interested in ML for biology and health. Previously: University of Oxford | The Alan Turing Institute | Apple.
https://kaspar.website/
(He/they) Research scientist @ PhysicsX. Geometric deep learning, AI for science.
London 🏳️🌈🏳️⚧️
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
Organic machine turning tea into theorems ☕️
AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better
Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨
Organizing for democracy.🗽
www.rlaw.me
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
