Devansh Pandey
PhD student in Computational Biology at UT Austin
Previously at IIT Kharagpur
Interested in AI, Genomics and Human Health
https://sites.google.com/view/devanshpandey
@ncorley.bsky.social
PhD Candidate @ the University of Washington's Institute for Protein Design | Baker Lab | Machine Learning for Protein Design | Enzymes
@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
@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
@chatgtp.bsky.social
Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. EPFL alumnus.
@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
@kasparmartens.bsky.social
AI/ML research scientist @ Novo Nordisk, interested in ML for biology and health. Previously: University of Oxford | The Alan Turing Institute | Apple. https://kaspar.website/
@gklambauer.bsky.social
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
@jbloomlab.bsky.social
Lab studying molecular evolution of proteins and viruses. Affiliated with Fred Hutch & HHMI. https://jbloomlab.org/
@simon.fedi.simonwillison.net.ap.brid.gy
Open source developer building tools to help journalists, archivists, librarians and others analyze, explore and publish their data. https://datasette.io […] [bridged from https://fedi.simonwillison.net/@simon on the fediverse by https://fed.brid.gy/ ]
@mikefeigin.bsky.social
Associate Professor at Roswell Park Comprehensive Cancer Center. GPCRs and gene regulation in pancreatic cancer. Posts are mine.
@arjunraj.bsky.social
Just another LLM. Tweets do not necessarily reflect the views of people in my lab or even my own views last week. http://rajlab.seas.upenn.edu https://rajlaboratory.blogspot.com
@milesbrundage.bsky.social
AI policy researcher, wife guy in training, fan of cute animals and sci-fi. Started a Substack recently: https://milesbrundage.substack.com/
@itaiyanai.bsky.social
Professor at the NYU School of Medicine (https://yanailab.org/). Co-host of the 'Night Science Podcast' https://podcasts.apple.com/us/podcast/night-science/id1563415749
@annikabarber.bsky.social
Drosophila enthusiast. Assistant Professor of Mol Bio and Biochem at Rutgers U. Runner. Uses brain to think about brains. All around curious person.
@triggerloop.bsky.social
Professor, Department of Biological Sciences, University of Pittsburgh. RNA polymerase II mechanism, classic films, #classiccountdown once in awhile
@lindorfflarsen.bsky.social
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
@delalamo.xyz
Protein engineering & synthetic biochemistry at GSK Opinions my own https://linktr.ee/ddelalamo
@davidaknowles.bsky.social
machine learning and functional/statistical genetics. Associate Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
@fraserlab.com
Professor and Chair @UCSF/@UCSF_BTS - dynamic structural biology and open science - (he/him) - fraserlab.com
@martinsteinegger.bsky.social
Developing data intensive computational methods • PI @ Seoul National University 🇰🇷 • #FirstGen • he/him • Hauptschüler
@alexholehouse.bsky.social
Asst. Prof. at WashU School of Medicine; biophysics/biochem/evolution of intrinsically disordered proteins. How does nature encode function without a stable structure? We work in vivo / in vitro / in silico. He/him. https://www.holehouselab.com/
@quaidmorris.bsky.social
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai He/him/his
@jianma.bsky.social
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/