Grant Rotskoff
Statistical mechanic working on generative models for biophysics and beyond. Assistant professor at Stanford. https://statmech.stanford.edu
@squishycell.bsky.social
Prof. of Physics, Cell Biology and Molecular Engineering @ UChicago. Passionate about all the squishy matter driving dynamics and function from sub-cellular to tissue scales.
@weisenthal.bsky.social
Cohost of The Odd Lots Podcast Singer and guitarist in Light Sweet Crude
@rociomercadoro.bsky.social
Assistant professor in Data Science and AI at Chalmers University of Technology | PI: AI lab for Molecular Engineering (AIME) | rociomer.github.io
@jnigam.bsky.social
Postdoc @mitofficial.bsky.social, curious physicist unraveling the unknown #openscience👩🔬📚 Prev: @labcosmo.bsky.social EPFL
@thecoxgroup.bsky.social
We are the Cox Research Group! We are a computational and theoretical chemistry group in the Department of Chemistry, Durham University. See more at https://coxgroup.github.io/
@k-neklyudov.bsky.social
Assistant Professor at Mila and UdeM https://necludov.github.io/
@paulrobustelli.bsky.social
Assistant Professor at Dartmouth College Computational Biophysics / Disordered Proteins / Molecular Recognition
@shriramc.bsky.social
ML Scientist @prescientdesign.bsky.social developing LLM agents for biological discovery. Previously at Stanford and UChicago
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@nmboffi.bsky.social
Building generative models for high-dimensional science and engineering. Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT https://nmboffi.github.io
@askennard.bsky.social
Postdoc at UMass Amherst (Fritz-Laylin lab). Cell biologist and biophysicist studying evolutionary cell biology of the microtubule cytoskeleton. PhD Stanford (Biophysics, Julie Theriot lab). https://andrewkennard.github.io
@djasras.bsky.social
she / her • incoming assistant professor of chemistry at UChicago • quantum dynamics of (nano)materials • diptijasrasaria.com
@stevenbanik.bsky.social
Assistant Professor, Stanford University Dept. of Chemistry and Sarafan ChEM-H | Chemical biology, synthetic biology | Small molecules, large molecules, biological mechanisms
@quthermo.bsky.social
Father of twins, theoretical physicist, quantum thermodynamicist; Thermodynamics and control of information in complex quantum systems. quthermo.umbc.edu
@handle.invalid
Trying to teach computers how to design materials. Leading a research group at FSU Jena/HIPOLE Jena. Increasing entropy since 1996.
@stanfordchemistry.bsky.social
Official account for the Department of Chemistry at Stanford University, a world-class center for research and education in the chemical sciences.
@dereklowe.bsky.social
Medicinal chemist / chemical biologist, author of “In the Pipeline” at http://science.org/blogs/pipeline. derekb.lowe@gmail.com and on Signal at Dblowe.18 All opinions are mine; I don’t speak for my employer in any way.
@piermorgante.bsky.social
#MachineLearning editor at @iopp-mlresearch.bsky.social (@ioppublishing.bsky.social). Theoretical chemist. LEGO fan. #DFT #compchem #chemistry #DogsofCompChem #Quantum Proud member of #ChemSky Personal+work account (all views my own) 📍Buffalo, NY
@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.
@jsunn-y.bsky.social
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@msalbergo.bsky.social
junior fellow at @Harvard.edu, incoming prof at @HSEAS and @Kempnerinstitute.bsky.social studying machine learning and its applications to nature and the sciences
@pollyfordyce.bsky.social
Stanford BioE, Genetics & Sarafan ChEM-H. Chan-Zuckerberg Biohub Investigator. Our lab develops and applies microfluidic assays for high-throughput biophysics and biochemistry.
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@micheleceriotti.bsky.social
Italian in Switzerland, @lab_COSMO PI. Husband of one, father of three. Increasing the entropy of the universe since 1982.
@smnlssn.bsky.social
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
@erikhthiede.bsky.social
Asst. Professor of Chemistry at Cornell University. Interests: Bio, Chem, ML, Statistical Estimation, Electron Microscopy, Good code.
@dr-alphalyrae.bsky.social
AI for Life Sciences & Digital Health at NVIDIA | trained as a scientist from JGI, UW & UC Berkeley | views are all mine
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@joanbruna.bsky.social
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@moleitaomath.bsky.social
Georgia Tech Prof; Tsinghua (Math+Phys), Caltech (Control & Dynamical Systems), NYU Courant (Applied & Computational Math) * deep learning theory * (diffusion) generative model, probabilistic machine learning * AI4Science
@tszzl.bsky.social
@aingrosso.bsky.social
Theoretical neuroscience, machine learning and spin glasses. Assistant professor at Donders Institute, Nijmegen, The Netherlands.
@stefsm.bsky.social
Assistant Professor Chalmers and Göteborg University 🌱 ML + CogSci + StatPhys 🔎 stefsmlab.github.io 🌐
@schwabfactory.bsky.social