Eli Weinstein
Postdoc at Columbia with Dave Blei // Jura Bio // machine learning, statistics, chemistry, biophysics
Incoming assistant professor of chemistry at the Technical University of Denmark (DTU).
https://eweinstein.github.io/
@mjordahn.bsky.social
Probabilistic Machine Learning and Bayesian Deep Learning for Uncertainty Quantification and Bayesian Optimisation
@marchgarner.bsky.social
Theoretical and computational chemist. Molecular Electronics, MO theory, Hund's rule violations and more. @carlsbergfondet.bsky.social Postdoc at the Technical University of Denmark.
@januseriksen.bsky.social
Assoc. prof. in #compchem at DTU (🇩🇰) -- Previously: Bristol Uni (🇬🇧) & Uni Mainz (🇩🇪). Member of @theyoungacademydk.bsky.social (🇩🇰, 2022-27).
@zs-biophys.bsky.social
Assistant Professor at Rutgers Chemistry and Chemical Biology, studies cell membranes and biomolecular condensates. https://sites.rutgers.edu/shi-lab/
@paulinanunezv.bsky.social
PhD student - Machine Learning for Conservation. Dias&Frazer Lab @crg.eu with Mafalda Días and @jonnyfrazer.bsky.social
@cwjpugh.bsky.social
PhD candidate - Machine Learning and Genomics @CRG.eu with @jonnyfrazer.bsky.social and @MafaldaFigDias
@durstewitzlab.bsky.social
Scientific AI/ machine learning, dynamical systems (reconstruction), generative surrogate models of brains & behavior, applications in neuroscience & mental health
@deboramarks.bsky.social
Want to build computational models to (help) solve biology? Join us! https://www.deboramarkslab.com Discovering the Languages of Biology Predict, generate … from genetics to therapeutics to genome engineering … you decide!
@jppiquem.bsky.social
Professor of Theoretical Chemistry @sorbonne-universite.fr & Head @lct-umr7616.bsky.social| Co-Founder & CSO @qubit-pharma.bsky.social| FRSC (My Views) #compchem #HPC #quantumcomputing #machinelearning | https://piquemalresearch.com | https://tinker-hp.org
@tbepler.bsky.social
Scientist and Group Leader of the Simons Machine Learning Center @SEMC_NYSBC. Co-founder and CEO of http://OpenProtein.AI. Opinions are my own.
@lct-umr7616.bsky.social
The Laboratoire de Chimie Théorique (LCT) is a joint @sorbonne-universite.fr & @cnrs.fr Research Center (UMR 7616) dedicated to Theoretical & Computational Chemistry (Paris, France). #compchem #compchemsky #chemsky
@elenadata.bsky.social
CS Prof @ University of Illinois Chicago. Research in causal inference, machine learning, graph mining, privacy. www.cs.uic.edu/~elena
@amlab.bsky.social
The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
@ericlubeck.bsky.social
biology 🧬, microscopes 🔬, and computers 🖥️. Preferably all at once.
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@rdmichael.bsky.social
PhD student at University of Copenhagen, @DIKU, @KU_BioML group, DDSA fellow.
@skainswo.bsky.social
prev: @BrownUniversity, @uwcse/@uw_wail phd, ex-@cruise, RS @waymo. 0.1x engineer, 10x friend. spondyloarthritis, cars ruin cities, open source
@bunzela.bsky.social
Creating enzymes by computational design and directed evolution. Group Leader at MPI for Terrestrial Microbiology, Germany https://www.mpi-marburg.mpg.de/home #FascinatedByEnzymes
@karbalayghareh.bsky.social
Deciphering causal gene regulation mechanisms of cells using AI/ML. Postdoc at @MSKCancerCenter, Dr. Christina Leslie Lab. On the academic job market 2024-2025.
@amirbitran.bsky.social
Jane Coffin Childs fellow, Marqusee/ Bustamante Labs, UC Berkeley Prev. PhD Shakhnovich Lab, Harvard Protein folder, classical composer http://amirbitran.com
@avgupta.bsky.social
Founder/CEO @ AINovo Biotech. Prev: AI + Genomics @ Stanford Computer Science, computational drug discovery @ ETH, Harvard. AI Optimist for Human Health.
@joshroll.bsky.social
PhD Student @ GC CUNY/Hunter College, Dr. Lei Xie | Former software engineer for Harvard Med School, Debora Marks Lab | UW - EE & ACMS graduate
@highvariance.bsky.social
ML Scientist at JURA Bio adaptive immunity / machine learning Formerly twitter.com/rlyhighvariance
@gershbrain.bsky.social
Professor, Department of Psychology and Center for Brain Science, Harvard University https://gershmanlab.com/
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@jeffspence.github.io
staff scientist at stanford interested in genetics, statistics, etc… jeffspence.github.io
@anndvision.bsky.social
@molinalab.bsky.social
Group leader of the Stochastic Systems Biology Lab at IGBMC - CNRS - University of Strasbourg. Models of gene regulation based on biophysics-informed deep learning: https://www.igbmc.fr/molina
@claudiashi.bsky.social
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.com/
@stephanmandt.bsky.social
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
@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
@charlesm993.bsky.social
Research fellow at the Flatiron Institute and Stan developer. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
@shubhendu.bsky.social
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare. https://shubhendu-trivedi.org
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/
@ansabio.bsky.social
We’re on a mission to end the headaches of ordering synthetic DNA and give researchers what they really want: reliable DNA, on time, exactly as ordered. #DNASynthesis 🧪 ansabio.com
@keyonv.bsky.social
Postdoctoral fellow at Harvard Data Science Initiative | Former computer science PhD at Columbia University | ML + NLP + social sciences https://keyonvafa.com
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina