Associate professor Duke BME www.romerolab.org

Professor of Theoretical Chemistry @sorbonne-universite.fr & Director @lct-umr7616.bsky.social| Co-Founder & CSO @qubit-pharma.bsky.social (My Views) https://piquemalresearch.com | https://tinker-hp.org

Presidential Associate Professor @upenn.edu - using AI to reimagine antibiotic discovery and peptide design. Previously @MIT, @UBC 🔗 https://delafuentelab.seas.upenn.edu

Bio x ML @ Romero lab, @dukeubme.bsky.social @ml4proteins.bsky.social co-organizer

Evolutionary biologist (Multicellularity & social evolution). Prof. at Georgia Tech & Director of the QBioS PhD program. https://ratclifflab.biosci.gatech.edu/

Computational biologist. Professor. Co-Director of Disease Mechanisms and Therapeutics Training Area https://www.schlessingerlab.org/ @IcahnMountSinai. Opinions are mine. #DrugDesign #AI

Principal Research Scientist at NVIDIA | Former Physicist | Deep Generative Learning | https://karstenkreis.github.io/ Opinions are my own.

Research Fellow @flatironinstitute.org @simonsfoundation.org Formerly @csail.mit.edu @msftresearch.bsky.social @uconn.bsky.social Computational systems x structure biology | he/him | https://samsl.io | 👨🏼‍💻

Prof. for Bioinformatics@TUM Campus Straubing,HSWT Interested in Bioinformatics & Machine Learning for bio-(chemical) data, precision agriculture and sustainability.

🔬 Public Health – Fakten, Forschung und Hintergründe aus dem RKI. 💡 Es postet das Social-Media-Team. 👉 Impressum: http://rki.de/impressum

A fully open access, peer-reviewed journal published jointly by Oxford University Press and the International Society for Computational Biology.

Studying genomics, machine learning, and fruit. My code is like our genomes -- most of it is junk. Assistant Professor UMass Chan Previously IMP Vienna, Stanford Genetics, UW CSE.

The Big Bird at LegalEagle. Believer in the rule of law.

Computational biologist @biozentrum.bsky.social. Likes protein structures. https://ninjani.github.io/

Bio + AI, Vashon, Bikes

Senior AI/ML Engineer, Causal Machine Learning at GSK.ai | ML, Statistics, Causal Inference, Genetics/Genomics, Statistical Physics

Science bad photos https://scholar.google.com/citations?user=47-aiVEAAAAJ&hl=en

Physicist, professor @univie.ac.at, computational physics, statistical mechanics, machine learning, soft matter, biking, hiking, skiing, *320 ppm. 🇪🇺

Computational chemist/structural bioinformatician working on improving molecular simulation at MRC Laboratory of Molecular Biology. jgreener64.github.io

Neuroscientist-cell biologist, proteomics developer, deep learning collaborator, tackling brain disorders. PI @Duke. Chair of Cell Biology and Biochem. Founder, Triangle Protein Design. http://soderlinglab.cellbio.duke.edu

Our lab uses experimental and computational methods to design de novo proteins | @Stanford

Computer systems analyst in Kingston Ontario Canada 🇨🇦 and I help keep the internet safe and less enshittified. https://github.com/StevenBlack

PhD student at CTU Prague & IOCB Prague, machine learning for molecule discovery https://anton-bushuiev.github.io

🌏 https://roman-bushuiev.github.io/

Geometry and deep learning @areasciencepark

BSC-CNS (Barcelona Supercomputing Center-Centro Nacional de Supercomputación) is the National Supercomputing Facility in Spain. www.bsc.es

Co-founder @huggingface

Avid rower who sometimes thinks about biomolecular dynamics. Asst Prof @uwbiochem.bsky.social https://waymentsteelelab.org/

deep learning for enzyme design and protein biophysics gelnesr.github.io

Proteins, LLMs, Profluent