Paul Smyth
Director of AI/ML Engineering at GSK.ai. Ex-physicist. Mostly interested in deep learning for biological sequences. All opinions my own.
@jppiquem.bsky.social
Professor of Theoretical Chemistry @sorbonne-universite.fr & Head @lct-umr7616.bsky.social| Co-Founder & CSO @qubit-pharma.bsky.social| FRSC (My Views) #compchem #HPC #quantumcomputing #machinelearning | https://piquemalresearch.com | https://tinker-hp.org
@varianteffect.bsky.social
Advancing the promise of the Human Genome Project by interpreting the landscape of human genetic variation. https://www.varianteffect.org https://www.linkedin.com/company/atlas-of-variant-effects-alliance
@gene2phenotype.bsky.social
G2P (https://www.ebi.ac.uk/gene2phenotype/) is managed by EMBL’s European Bioinformatics Institute (EMBL-EBI)
@carlbergstrom.com
UW biology prof. 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 I don't like fascists. he/him
@cst.cam.ac.uk
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.
@ebi.embl.org
EMBL's European Bioinformatics Institute (EMBL-EBI) provides open biological data resources and tools, and performs basic research in computational biology. https://www.ebi.ac.uk/
@bunzela.bsky.social
Creating enzymes by computational design and directed evolution. Group Leader at MPI for Terrestrial Microbiology, Germany https://www.mpi-marburg.mpg.de/home #FascinatedByEnzymes
@mlsb-feed.bsky.social
Maintaining a ML in Structural Biology Feed at the following link, Link: https://bsky.app/profile/ramith.fyi/feed/MLSB
@jlistgarten.bsky.social
@jgreener64.bsky.social
Computational chemist/structural bioinformatician working on improving molecular simulation at MRC Laboratory of Molecular Biology. jgreener64.github.io
@ensembl.bsky.social
The Ensembl project seeks to enable genomic science by providing high-quality, integrated annotation. Vertebrates: www.ensembl.org Non-vertebrates: www.ensemblgenomes.org You can test the new Ensembl browser and share your feedback at beta.ensembl.org
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@aiproteins.com
better medicines, created rapidly through de novo protein design https://aiproteins.bio
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@austintwang.bsky.social
Stanford CS PhD student working on ML/AI for genomics with @anshulkundaje.bsky.social austintwang.com
@ml4science.bsky.social
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
@mcfunley.com
Leading expert https://mcfunley.com https://dotclub.club https://primary.every.democrat
@pollyfordyce.bsky.social
Stanford BioE, Genetics & Sarafan ChEM-H. Chan-Zuckerberg Biohub Investigator. Our lab develops and applies microfluidic assays for high-throughput biophysics and biochemistry.
@milescranmer.bsky.social
AI + Astro/Physics. Assistant Prof at Cambridge. astroautomata.com/
@polymathicai.bsky.social
The PolymathicAI Collaboration is building generalist foundation models for science. https://polymathic-ai.org/
@lucidrains.bsky.social
Boston transplant now living in San Francisco with a border collie / lab mix
@lianafaye.bsky.social
Assistant Professor of Bioengineering, Berkeley. Living in an RNA world. lareaulab.org
@chaitjo.bsky.social
PhD student at University of Cambridge. Visitor at MRC LMB. Intern at FAIR, Meta & Prescient Design, Genentech. Interested in: 🔨 Deep learning: GNNs, Transformers and generative models. 🧬 Biomolecule design, especially RNA! https://chaitjo.com
@tomdiethe.com
Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own
@tbepler.bsky.social
Scientist and Group Leader of the Simons Machine Learning Center @SEMC_NYSBC. Co-founder and CEO of http://OpenProtein.AI. Opinions are my own.
@clauswilke.com
Computational biologist, data scientist, digital artist | he, him | http://clauswilke.com/ | Opinions are my own and do not represent UT Austin.
@bpdmc.org
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
@stolzbernadette.bsky.social
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
@hnisonoff.bsky.social
PhD student at UC Berkeley Machine Learning for Protein Engineering
@pascalnotin.bsky.social
Research in AI for Protein Design @Harvard | Prev. CS PhD @UniofOxford, Digital & Analytics @McKinsey, Maths & Physics @Polytechnique
@alexijie.bsky.social
Senior Researcher at Microsoft Research New England. ML/AI for biological discovery: microscopy, proteins, single-cell.
@workshopmlsb.bsky.social
Machine Learning in Structural Biology workshop at NeurIPS 2024. Dec 15, mtg rooms 11-12 http://mlsb.io
@joanampereira.bsky.social
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
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
@michaelhoffman.bsky.social
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/
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@zacharywu.bsky.social
Researcher at Google DeepMind. Previously Arnold group at Caltech. Making useful molecules!
@machine.learning.bio
🏳️🌈 NVIDIA & Duke. Was Allianz, VantAI, TUM. BioCS+ML dude. Lab page: https://machine.learning.bio GScholar: https://scholar.google.com/citations?user=4q0fNGAAAAAJ
@francescafinotello.bsky.social
Assistant Professor leading the Computational Biomedicine Group at the University of Innsbruck • Data scientist at the Digital Science Center (DiSC) • Precision medicine and cancer immunotherapy • Mother 🧬🖥️ https://computationalbiomedicinegroup.github.io/
@amyxlu.bsky.social
CS PhD Student at UC Berkeley & AI for drug discovery at Prescient Design 🇨🇦
@eweinstein.bsky.social
Postdoc at Columbia with Dave Blei // Jura Bio // machine learning, statistics, biophysics, genomics On the 2024-2025 academic job market. https://eweinstein.github.io/
@ebetica.bsky.social
Bio/ML. Co-founder at EvoScale, worked on Pytorch and StarCraft back at meta. Most likely not skynet.
@meneton.bsky.social
RNA, Evolutionary Biology, Machine Learning, and ancient history. Building evolutionary ML models. Cambridge, UK
@bioinfo.se
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.
@jyim.bsky.social
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