@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
@pascalnotin.bsky.social
Research in AI for Protein Design @Harvard | Prev. CS PhD @UniofOxford, Maths & Physics @Polytechnique
@ncorley.bsky.social
PhD Candidate @ the University of Washington's Institute for Protein Design | Baker Lab | Machine Learning for Protein Design | Enzymes
@gcorso.bsky.social
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
@ian-dunn.bsky.social
PhD Candidate in Computational Biology @ University of Pittsburgh. Working on deep generative models for molecular structure. iandunn.io
@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
@jasonrkelly.bsky.social
co-founder and CEO at Ginkgo Bioworks Former Chair of National Security Commission on Emerging Biotechnology
@harrisbio.bsky.social
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
@simonmathis.bsky.social
PhD student at Uni of Cambridge, UK 🔬 | AI for protein design & engineering 🧬 | biotech & environmental applications 🌱 | enzymes 🏗️ 🇦🇹🇨🇭
@thomvett.bsky.social
ML for cancer diagnostics @HederaDx, @EPFL alumni - Tweets about tech + bio / food + tech
@preethamv.bsky.social
Graduate student at Baker Lab, University of Washington | Protein design | Machine Learning
@ldornfeld.bsky.social
PhD student in Milles Lab | Passionate about structural bioinformatics | 🥼&💻 | Formerly with Sereina Riniker (MD), Noelia Ferruz (ML), Bruno Correia (Protein Design) & Kai Johnsson (Protein Engineering) Webpage: https://ldornfeld.github.io/
@binshaophy.bsky.social
Broadie. deep learning; synthetic biology; single cell genomics; non-linear dynamics. opinions are my own. Latest work: https://www.biorxiv.org/content/10.1101/2024.12.30.630741v2
@kamile.st
Machine Learning PhD student at Cambridge University, visiting Cornell. Previously at Oxford and Google. Principled ML & applications in medicine.
@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
@jeffruffolo.bsky.social
Protein Design / ML @ Profluent Bio | Molecular Biophysics PhD @ Johns Hopkins
@qimmuno.bsky.social
Quantitative immunology lab (PI: Andreas Tiffeau-Mayer) https://qimmuno.com/ We use ideas from the physics of living systems and machine learning to understand human adaptive immunity in health and disease.
@lukaskln.bsky.social
🦠🧬💻 AI in Life Sciences / PhD @ETH Zürich / German Cancer Research Center
@cdsnow.bsky.social
Professor at Colorado State University. Previously MIT Chemistry (Tidor), Stanford Biophysics (Pande), Caltech Chemistry and Chemical Engineering (Arnold). Interests: Protein Engineering, Computational Protein Design, ML, Biomolecular Crystals
@nfusi.bsky.social
Partner Research Manager at Microsoft Research. AI and AI+bio. My opinions are mine etc.
@artsmarloes.bsky.social
Scientist in discovery data science at Genmab. Previously postdoc at KU_BioML and intern at MSFTResearch. Interested in everything ML and proteins.
@rommieamaro.bsky.social
Professor at UC San Diego. Computational biophysics, biology, chemistry. Multiscale modeler. Viruses. Cancer. Co-Director of the Airborne Institute.
@parthbibekar.bsky.social
PhD Candidate | EPFL Structural bioinformatics https://parthbibekar.github.io