@mmsltn.bsky.social
GenAI for proteins @abscibio. Prev. founding team @insitro, @Stanford PhD, and @Yale alumni. 🇵🇰🇺🇸
@sanjyot.bsky.social
Doctoral Student at the Carnegie Mellon University - University of Pittsburgh Joint Ph.D. Program in Computational Biology (CPCB). Former - Mathematics, IIT Bombay
@amacbride.com
biology + computers + a leavening of snark | 👨👨👧👧🏳️🌈| nanomedicine | cancer genomics 🧬 | ML | biomaterials | #compchem #matsky #chemsky #ai4science #materialsinformatics #md | startups | @Cal 🐻 @Stanford @UniversityOfOxford @OxfordNano (swimsf on the Bad Place)
@simonlevine.bsky.social
AI for proteins @abscibio. Previously @EncodedTx, @CMUCompBio, @USC.
@nikhilshenoy.bsky.social
Working on simulating molecules with AI @valenceai.bsky.social, @recursionpharma.bsky.social | Ex UBC, IIT Delhi For more details: shenoynikhil.com
@julio-r-banga.bsky.social
Computational Biology Lab at MBG-CSIC, Pontevedra, Spain @julio-r-banga.bsky.social https://www.bangalab.org/
@possuhuanglab.bsky.social
Our lab uses experimental and computational methods to design de novo proteins | @Stanford
@alisiafadini.bsky.social
Researcher. Interested in molecular biophysics using ML + protein structure experiments.
@britnie-carpentier.bsky.social
AI Protein Design | PhD Candidate at Johns Hopkins University - Gray Lab https://graylab.jhu.edu/ http://linkedin.com/in/brcarpen
@delafuentelab.bsky.social
Presidential Associate Professor @upenn.bsky.social - using AI to reimagine antibiotic discovery and peptide design. Previously @MIT, @UBC 🔗 https://delafuentelab.seas.upenn.edu
@michaelchungyoun.bsky.social
Johns Hopkins PhD Student Antibody Engineering & Machine Learning http://linkedin.com/in/mfc12
@erincyang.bsky.social
Protein Design Scientist @generate_biomed, PhD from Baker and King Labs @UWproteindesign 🧬 🦠 | Semi retired triathlete (she/her)
@ramyarangan.bsky.social
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
@yusufroohani.bsky.social
Machine Learning & Systems Biology. ML Group Leader @arcinstitute. PhD @StanfordAILab http://www.yusufroohani.com
@nathanielblalock.bsky.social
Graduate Research Assistant in Dr. Philip Romero's Lab at Duke/Wisconsin Reinforcement and Deep Learning for Protein Redesign | He/him
@amritanalla.bsky.social
DL based computational protein design | phd candidate in the Kuhlman Lab at UNC Chapel Hill 🏳️🌈
@libuchauer.bsky.social
Computational Biologist. Mathematical models, omics methods and data analysis for immunology and infection research at Charité Berlin. https://libuchauer.github.io/lab/
@manusaraswat.bsky.social
PhD candidate in ML for genomics in Heidelberg, Germany with Oli Stegle Previously at Genentech, UBC and BITS Pilani https://scholar.google.com/citations?user=4yUtALcAAAAJ&hl=en&oi=ao
@arinbjorn.is
Visiting Postdoc Scholar @UVA Previously: PhD Imperial, Evidation Health, Samsung AI Researching core ML methods as well as computational/statistical methods in biomedicine, health and law arinbjorn.is 📍Switzerland
@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
@amalaa.bsky.social
Assistant Professor at UC Berkeley and UCSF. Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
@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
@giorginolab.bsky.social
Computational biophysicist, et al. Opinions expressed are my own. Also @giorginolab@mstdn.science on Mastodon, bridged here @giorginolab.mstdn.science.ap.brid.gy .
@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
@koushikn.bsky.social
Data Scientist Generative AI @BayerCropScience. ML for Plant Biology. PhD @IowaStateUniversity https://www.linkedin.com/in/koushik-nagasubramanian/
@meneton.bsky.social
RNA, Evolutionary Biology, Machine Learning, and ancient history. Building evolutionary ML models. Cambridge, UK
@aidanwinters.bsky.social
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)
@dkoes.compstruct.org
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/
@sukritsingh92.bsky.social
Biophysicist｜Damon Runyon QB & NCI Early Stage K99/R00 Fellow at MSKCC w/ @jchodera.bsky.social | Team @foldingathome.org | PhD with @drgregbowman.bsky.social | Drug resistance, Protein dynamics, Dogs, Games My website: https://sukritsingh.github.io
@mpdmpdmpdmpd.bsky.social
🧪 Head of Computational Biology at Protera, based in Paris 🥖
@aaronwtr.bsky.social
PhD AI for Drug Discovery @QMUL, @MSDintheUK. ex-{@TUDelft, @CureVacRNA}. Researching the intersection of AI and biology to improve human health. 🧬🤖
@tallakahath.bsky.social
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.
@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?
@dijiang319.bsky.social
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
@kasia.codes
AI Research Scientist @alleninstitute.bsky.social | PhD from @ox.ac.uk | prev: intern @msftresearch.bsky.social New England & Novo Nordisk | she/her | kasia.codes
@mgollub.bsky.social
🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
@rdkbio.bsky.social
🧬 Structural Bioinformatics | 💊 AI/ML for Drug Discovery | Geometric DL 🔬 @iocbprague.bsky.social, prev. PhD @cusbg.bsky.social @mff.unikarlova.cuni.cz @charlesuni.cuni.cz
@willfondrie.com
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
@suragnair.bsky.social
Machine learning and genetics @Genentech. Previously CS PhD @Stanford. suragnair.github.io