PhD, chemistry
Postdoctoral scientist at MRC LMB
Studying the origins of life
LA->PDX->ATL->Cambridge
Group Leader @Stanford. RNA focused ML/AI, cryoEM/ET, and biophysics. Formerly:DeepMind AlphaFold,EvoscaleAI, Churchill Scholar@Cambridge_Uni & seen on Netflix
Research @ Polimi | Machine Learning | DL • Graph/Geometric NNs • RL • Robotics
Russ B Altman, MD, PhD. Professor at Stanford. Host of podcast “The future of everything” from Stanford Engineering.
https://rbaltman.people.stanford.edu
and
https://engineering.stanford.edu/news/collection/future-everything-podcast
A new scientific institution for curiosity-driven biomedical science and technology.
Tenured Group Leader @JohnInnesCentre, Honorary Professor @uniofeastanglia, Honorary Group Leader @BabrahamInst. Working on RNA structure functionalities
Our lab seeks an agile and predictive understanding of how RNAs structurally code for information processing and replication in living systems.
Program Leader and Head of PNAC division at MRC Laboratory of Molecular Biology, Cambridge, UK @mrclmb.bsky.social. Synthetic / Chemical biology and all things RNA
I am a research scientist @ Apple MLR, seeking a grand unification of generative modeling 🇪🇸🇺🇸
Scientist and Group Leader of the Simons Machine Learning Center
@SEMC_NYSBC. Co-founder and CEO of http://OpenProtein.AI. Opinions are my own.
Principal Research Manager & Project lead @ Microsoft Research AI for Science; AI for materials; Previously @ MIT, DeepMind, Google X. Views my own.
Biophysics PhD Student with DasLab & ChiuLab.
Pairing RNA structure & cryoEM to better understand both!
King's College, Science & Security '19
Harvey Mudd '18
Assistant professor in Data Science and AI at Chalmers University of Technology | SciLifeLab Group Leader | PI for AI lab for Molecular Engineering (AIME) | ailab.bio | rociomer.github.io
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
Professor at the NYU School of Medicine (https://yanailab.org/). Co-founder and Director of the Night Science Institute (https://night-science.org/). Co-host of the 'Night Science Podcast' https://podcasts.apple.com/us/podcast/night-science/id1563415749
Group Leader @MRC_LMB /Structural Biologist/Biochemist. Amateur baker in free time #RNAworld #spliceosome #telomerase #telomeres #cryoEM #Xraycrystallography
FAIR Chemistry. Simulation-based Inference.
All views and opinions expressed are my own.
Assistant Professor at Stanford Statistics and Stanford Data Science | Previously postdoc at UW Institute for Protein Design and Columbia. PhD from MIT.
Cambridge University Computer Science & Technology Department (aka the Computer Lab). We built the 1st usable programmable computer, offered the UK's 1st Computer Science degree, created the 1st webcam - and continue to advance the field today.
Gonçalves Lab @TUDelft (CS @EEMCS_TUD). Research on Computational Molecular Biomedicine, Machine Learning, Oncology by @joanagoncalves.bsky.social et al. Website: https://goncalveslab.tudelft.nl
AI for Nucleic Acids Workshop @ ICLR 2025.
Find more info here: https://ai4na-workshop.github.io
RNA Biology & extracellular RNA. Group Leader, Functional Genomics Lab at Pasteur Institute of Montevideo / Analytical Biochemistry Unit at Universidad de la República, Uruguay.
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
RNA structure enthusiast 🧬, participatory science facilitator
I make science puzzles 🧩 eternagame.org
https://orcid.org/0000-0001-8528-2227
Keyboard player 🎹 and singer 🎤 https://www.facebook.com/LondontoLiverpoolband
Portland, OR
The MRC Laboratory of Molecular Biology aims to understand biological processes at the molecular level to help tackle human health problems and disease.
Joint Head of Structural Studies at @mrclmb.bsky.social. We develop & use #cryoEM to study amyloids in neurodegeneration. #tau, #alphasynuclein, #opensoftware, #RELION. All opinions my own.
TMLR Homepage: https://jmlr.org/tmlr/
TMLR Infinite Conference: https://tmlr.infinite-conf.org/
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
Postdoc @mrclmb.bsky.social playing around in the #RNAworld. Interested in how self-replicating chemical systems can emerge and start evolving. Born at 358ppm. (He/him)
Computational chemist/structural bioinformatician working on improving molecular simulation at MRC Laboratory of Molecular Biology. jgreener64.github.io
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
PhD @ MIT CSAIL | AI/ML for the Life Sciences
Excited about RNA, computation, structural biology, cryoET, splicing. Current: Atomic AI. Previous: in Ellen Zhong's lab, at Stanford with Rhiju Das' lab. she/her
A college for advanced study at the University of Cambridge, renowned for its Fellowship and annual programme for visiting academics.
https://www.clarehall.cam.ac.uk/
Ribosomes and RNA language models.
Professor at UC Berkeley.
https://sites.google.com/berkeley.edu/cate-lab/home
https://research.nvidia.com/labs/genair/
Computational structural biologist ¦ RNA ¦ Post doc @IIMCB
Prof of Computer Science and Life Sciences @ EPFL Previously @ Stanford
ML🤖+Bio🧬 https://brbiclab.epfl.ch/
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
solo member of investment staff @airstreet, next token predictor @airstreetpress, {redacted} @airstreetcafe @raais
genetics/data/programming. ex-Hexagon, ex-Stanford ex-23andMe ex-TCD http://blog.booleanbiotech.com 🇮🇪
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/
Seminar series on machine learning for protein engineering. Details for seminars and slack are on our website. DM us if you're interested in presenting! ml4proteinengineering.com
Synbio, origins of life. Postdoc at the Francis Crick Institute
PhD student @OPIGlets working on ML methods for small molecule drug design
CTO at Kimia Therapeutics. Formerly SVP AI at Recursion.
https://ihaque.org
https://x.com/ImranSHaque
Assistant Professor of Medicinal Chemistry at Univ of Washington and Institute for Protein Design | Scientist | Computational Peptide/Protein Design
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
(She/her) I ❤️proteins! I’m an AI researcher and budding in silico molecular engineer focused mostly on proteins and small molecules. Intersex=awesome 😎🏳️🌈🏳️⚧️⚧️💻🎯🧬🧫🦠🔬⚗️🧪💊💉✡️🪬
Generative models for protein design.
Group leader at CRG
Biomolecular designer
Assistant Professor at the Institute of Science and Technology Austria (ISTA)
PhD Student at Grünewald Lab (TUM)
🧬Protein Design for CRISPR proteins🧑🏽💻👨🏽🎨
Professor (never Mrs./never misses) Membrane protein evolution and design. Also enzymes.
Digests proteins. High-throughput protein biophysics and design, Northwestern University. www.rocklinlab.org
Sir Henry Dale Fellow, King's College London. Chemical / Synthetic biologist developing artificial nucleic acids (XNA) for precision medicine.
https://www.kcl.ac.uk/people/alex-taylor-1
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
Research Lead at @valenceai.bsky.social, Adjunct prof at @UMontreal and @Mila_quebec, interested in AI, deep learning, drug discovery, graphs, geometry, biology, chemistry, physics, philosophy, and the origin of life 🧠🦠
Aims to become a crazy scientist 👨🔬
PhD student @ University of Cambridge, interested in (Hyper)Graph Representation Learning.
Microsoft Research AI for Science, previously physics @ Cambridge. views my own
Postdoc at @ellisalicante.org
🎓 PhD in CS at @ellis.eu Alicante
⚖️ Algorithmic Fairness and Trustworthy AI
🕸️ Graph Neural Networks
🌐 https://adrian-arnaiz.netlify.app/
Stanford Medicine is an integrated academic health system comprising the Stanford School of Medicine and adult and pediatric health care delivery systems. Together, they advance biomedicine through research, education, and patient care: med.stanford.edu
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Co-founder & CSO @Entalpic | AI for materials discovery | PhD in Graph ML, ex-Mila, ex-Amazon | #AIforClimateChange, #AI4Science
@Stanford Professor. AI for science and medicine.
Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
PhD student Uni of Cambridge | Enzyme engineering and design for sustainable biocat | Droplet microfluidics as a tool for mega-scale data collection
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery)
Researcher @valenceai.bsky.social
Details: austintripp.ca
Applying machine learning to challenges in materials science.
Senior Researcher at Microsoft research AI for Science.
Views are my own
RS at at GDM, Science Team. Prev: Google Brain
web @ https://argmin.xyz
interests: machine learning, ai4science, algorithms, coding
member of technical staff @ https://cusp.ai
past @ MSR, DeepMind, MPI-IS
home @ Heimbach (Gilserberg), Berlin, Europe
born @ 353 ppm
block toxicity
he/him
(He/they) Research scientist @ PhysicsX. Geometric deep learning, AI for science.
London 🏳️🌈🏳️⚧️
Assistant Professor at EPFL, ML/AI-accelerated Chemistry & Synthesis | Educating the next generation of chemists and leading a fantastic team (https://schwallergroup.github.io) | Previously IBM Research / Uni Bern / Uni Cambridge / EPFL | he/his
Computational Biophysicist, Amateur Photographer, History+Language Nerd.
All views my own.
Website: https://martinvoegele.github.io/
Center at Yale University that supports cutting-edge research in RNA biology and medicine by fostering cross-disciplinary collaborations
Prof TT Uni Bonn & University Hospital Bonn | RNA & ribosome & biochemistry & innate immunology | Postdoc Barna Lab Stanford | PhD Stoecklin Lab DKFZ ZMBH Uni Heidelberg | triplet | https://www.leppeklab.org
Protein Design / ML @ Profluent Bio | Molecular Biophysics PhD @ Johns Hopkins
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 @MIT • Research on Generative Models for Biophysics and Drug Discovery
Research in AI for Protein Design @Harvard | Prev. CS PhD @UniofOxford, Maths & Physics @Polytechnique
Computational methods for epigenetic, CRISPR genome editing and single-cell genomics. Associate Professor at MGH / Harvard Medical School. http://pinellolab.org
Co-Founder & CTO, @vant_ai
Forbes 30u30 but won't go to jail | prev. ETH Zurich Stanford McKinsey
AI x Bio/Chem. vi/vim
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
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)
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
AI for drug discovery at Isomorphic Labs. Prev: PhD @ UC Berkeley | 🇨🇦
ML for proteins
PhD student at Caltech with Frances Arnold and Yisong Yue
Prev: MSR intern, Berkeley alum
https://www.francescazfl.com/
Bio/ML. Co-founder at EvoScale, worked on Pytorch and StarCraft back at meta. Most likely not skynet.
CS at MIT | AI x bio research at Broad Institute
Principal Machine Learning Scientist @PrescientDesign @Genentech @Roche | @NYUDataScience PhD | developing AI agents for scientific discovery in biotech
