Anvita Gupta
Founder/CEO @ AINovo Biotech. Prev: AI + Genomics @ Stanford Computer Science, computational drug discovery @ ETH, Harvard. AI Optimist for Human Health.
@katarinaelez.bsky.social
PhD student @ FU Berlin 🧑🏻💻 | Drug discovery, AI/ML & Structural bioinformatics
@andrewfrsc.bsky.social
Making medicines; inter-disciplinary research; ❤️ biology chemistry AI/ML; Christian ✝️; husband & parent; bike packer 🚵;🇬🇧& 🇮🇪; auld yarns 💬; views are only mine 😉
@erikhthiede.bsky.social
Asst. Professor of Chemistry at Cornell University. Interests: Bio, Chem, ML, Statistical Estimation, Electron Microscopy, Good code.
@sebastianober.bsky.social
Senior ML Scientist I at BigHat Biosciences. Previously: AstraZeneca, Secondmind, PhD student & Gates Cambridge Scholar at CBL in Cambridge. Views are my own.
@kirtyvedula.bsky.social
Machine learning for sciences. Ph.D. 2020. Husband, father, nerd. Based in San Diego, CA.
@javierutges.bsky.social
Final year PhD Student in the @gjbarton.bsky.social Group at University of Dundee Ligand site prediction benchmark: tinyurl.com/Utges-LBS Fragment screening sites: tinyurl.com/Utges-FRAGSYS Ankyrin repeats: tinyurl.com/Utges-ANKS
@amywang1.bsky.social
working on problems at the intersection of machine learning, structural biology, and physics @ Prescient Design. previously an experimental biophysicist @Stanford.
@alannawzadamin.bsky.social
Faculty fellow at NYU working with @andrewgwils.bsky.social. Statistics & machine learning for proteins, RNA, DNA. Prev: @jura.bsky.social, PhD with Debora Marks Website: alannawzadamin.github.io
@jsunn-y.bsky.social
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
@suinlee.bsky.social
Paul G. Allen Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/
@aneeshsathe.com
Now: Drug Discovery- Bayesian, ML, GNNs, KGs, Organoids Previously: Founder and CEO: AI for cancer diagnosis ‘14: PhD Biophysics #DataBS #ML #AI #KnowledgeGraphs #DataScience, #DataViz, #Stats, #Python #Organoids aneeshsathe.com 🧪🧬💻🤖🔬🦠🩺💊🐍 📍San Diego
@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/
@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
@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.
@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