@aiproteins.bsky.social
better medicines, created rapidly through de novo protein design https://aiproteins.bio
@jsunn-y.bsky.social
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
@nathanielblalock.bsky.social
Graduate Research Assistant in Dr. Philip Romero's Lab at Duke/Wisconsin Reinforcement and Deep Learning for Protein Redesign | He/him
@soheeyang.bsky.social
PhD student/research scientist intern at UCL NLP/Google DeepMind (50/50 split). Previously MS at KAIST AI and research engineer at Naver Clova. #NLP #ML 👉 https://soheeyang.github.io/
@delalamo.xyz
Protein engineering & synthetic biochemistry at GSK Opinions my own https://linktr.ee/ddelalamo
@capridock.bsky.social
The community-wide CAPRI protein docking and assembly modeling experiment
@yu-zh.bsky.social
Postdoctoral Fellow, Collins Lab @ Broad Institute and Wyss Institute at Harvard and MIT | AI in drug discovery
@agenemachine.bsky.social
Protein engineer (Rosetta/ML/wet lab) working on a NewCo building targeted chemotherapy for solid tumours (esp. PDAC) using ADEPT — loops and buried polar groups are a feature, not a bug.
@mattpenner.bsky.social
PhD student Uni of Cambridge | Enzyme engineering and design for sustainable biocat | Droplet microfluidics as a tool for mega-scale data collection
@neuralnoise.com
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
@al-murphy.bsky.social
Postdoctoral Research Scientist, Koo lab at Cold Spring Harbor Laboratory | Deep Learning for genomics
@jonling.bsky.social
Assistant Professor @HopkinsMedicine @JHUPath https://scholar.google.com/citations?user=dGBD72YAAAAJ
@carolynbertozzi.bskyverified.social
Baker Family Director, Sarafan ChEM-H, Stanford University and HHMI; EIC of ACS Cent Sci; All views and opinions expressed are my own.
@ppxasjsm.bsky.social
Senior lecturer in Computational Biophysics @ University of Edinburgh molecular simulations, machine learning and baking enthusiasts. Occasional mathematics outreach
@genophoria.bsky.social
Core Investigator @ Arc Institute | Associate Professor @ UCSF | {Computational, Systems, Cancer, RNA} biologist | Co-founder @exaibio @vevo_ai
@rohangorantla.bsky.social
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
@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
@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.
@tsanglab.bsky.social
Systems immunologist @ Yale studying human immune variation. We measure, predict, understand, and engineer individual immunity and health. Lab: https://www.tsanglab.org Center: https://medicine.yale.edu/systems-engineering-immunology/
@ramith.fyi
PhD Student @CMUPittCompBio.bsky.social / @SCSatCMU.bsky.social Interested in ML for science/Compuational drug discovery/AI-assisted scientific discovery 🤞 from 🇱🇰🫶 https://ramith.fyi
@srijitseal.com
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
@moret1788.bsky.social
Postdoc at @geochurch's lab, @harvardmed | Previously ML scientist @HarmonicDiscov | PhD @ETH | ML for small molecules and macromolecules | Il est où Kadoc?
@suragnair.bsky.social
Machine learning and genetics @Genentech. Previously CS PhD @Stanford. suragnair.github.io
@odyv.bsky.social
Generative Antibody Design at Oxford | ovavourakis.github.io | 🇬🇧🇩🇪🇬🇷(🇪🇸) he/him
@davidsebfischer.bsky.social
I develop mechanistic machine learning tools for single-cell and spatial omics data to understand the regulatory patterns underlying human disease dynamics. ai4biomedicine.org
@activelearner.bsky.social
Principal Machine Learning Scientist @PrescientDesign @Genentech @Roche | @NYUDataScience PhD | developing AI agents for scientific discovery in biotech
@emmapierson.bsky.social
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/
@francescazfl.bsky.social
ML for proteins PhD student at Caltech with Frances Arnold and Yisong Yue Prev: MSR intern, Berkeley alum https://www.francescazfl.com/
@amyxlu.bsky.social
CS PhD Student at UC Berkeley & AI for drug discovery at Prescient Design 🇨🇦
@maewoods.bsky.social
Passionate about compbio | high performance computing | mathematics | digitalization | cell & gene therapy. Opinions are my own. GitHub: https://github.com/MaeWoods
@hamedshirzad.bsky.social
PhD student in Computer Science at UBC | Exploring Machine Learning on Graphs https://www.hamedshirzad.com/
@caswognum.nl
Trying to teach machines (and myself) drug discovery at Valence Labs and Polaris. www.caswognum.nl 🇳🇱🇨🇦
@sarahalamdari.bsky.social
Senior Applied Scientist @ MSR // AI, molecular dynamics, protein design, and some sillyness 🧬 (she/her)
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@samvidav.bsky.social
Schmidt AI in Science postdoc at Oxford; Rhodes Scholar, Princeton '19; Bangalore | Human genetics + computational biology
@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/
@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
@biosim-lab.bsky.social
Assistant Prof. @UvA | amyloids, multiscale soft matter, computational peptide design, smart (adaptable) biomaterials, CompChem
@lmboat.bsky.social
computational chemist, bioinformatician & chemical biologist 🏔️ hiker | 🧗🏻♀️climber | 🎨 artist | 🤘🏻alum @UTAustin @UCLA
@babak-a.bsky.social
Chief Scientist at @exai.bio — I use computational biology, machine learning and large-scale datasets to improve human health
@dmmiller597.bsky.social
Machine learning on proteins PhD student at University College London
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@laurendelong.bsky.social
Using #NeurosymbolicAI for challenges in #Biomedicine. PhD student at Uni Edinburgh🦄🏴 (she/hers) https://laurendelong21.github.io