Tom Baker
@notworried.bsky.social
ML and drug discovery @Recursion; PhD @Oxford; Views are not my own, it's all nature+nurture. https://lucabertinetto.com
@andrewlbeam.bsky.social
Chief Technology Officer FL97, Inc. - Professor @ Harvard Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
@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
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@tucek.bsky.social
mathematician (differential geometry, representation theory) and Python developer
@ribana.bsky.social
Professor of Data Science for Crop Systems at Forschungszentrum Jülich and University of Bonn Working on Explainable ML🔍, Data-centric ML🐿️, Sustainable Agriculture🌾, Earth Observation Data Analysis🌍, and more...
@rachelkluu.bsky.social
Materials & AI PhD @MIT | MechE @UCSD | generative ai, mechanics, & biological materials science
@ruchiradatta.bsky.social
Mathematician and computer scientist. Have done research in game theory, AI/ML for NLP, and computational biology (phylogenomics, cancer, and immunology). Now working on making energy-efficient AI/ML. Vegetarian.
@ianfoster42.bsky.social
Deep computing for deep science. UChicago & Argonne Nat Lab. Work with amazing people. Globus. AI, HPC, robotics for discovery. And sailing. And books. And music. And beauty.
@mschrimpf.bsky.social
NeuroAI Prof @EPFL 🇨🇭. ML + Neuro 🤖🧠. Brain-Score, CORnet, Vision, Language. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI
@idris1.bsky.social
Johns Hopkins CS PhD student. #MedicalRobotics #ComputerVision #DeepLearning #Guitar
@johnegan.bsky.social
Albuquerque AI / Atomic Entropy abqgpt.com yourai.expert folks call me the ‘AI expert’, not chasing the $$$ or seeking the spotlight, just trying to help normal folks prosper with this tech in a safe and secure manner, my 1st tech startup was in 1995
@simon-driscoll.bsky.social
Senior Research Associate, ICCS @ Department of Applied Mathematics and Theoretical Physics, Uni of Cambridge. DPhil (PhD) Oxford Physics. Reading Uni (SASIP, 2021-25, Schmidt Sciences). ATI 2025. Advisor Arctic Basecamp. ML/AI, physics, climate, & more.
@akanksha-ahuja.bsky.social
AI on Graphs, Networks, Topologies 👩🏻💻🌎| PhD @Cambridge_Eng @Cambridge_Uni | MSc @CompSciOxford @UniofOxford I Prev @FCC_study, @CMSExperiment, AWAKE @CERN
@irashokar.bsky.social
Probabilistic deep learning for atmospheric dynamics, fluids and dynamical systems || PhD student in Applied Maths, University of Cambridge || UKRI CDT in AI for Environmental Risks || website: https://www.damtp.cam.ac.uk/user/is500
@profericwong.bsky.social
Assistant professor at University of Pennsylvania. Machine learning, optimization, robustness & interpretability. Home page: https://www.cis.upenn.edu/~exwong/ Lab page: https://brachiolab.github.io/ Research blog: https://debugml.github.io/
@kirtyvedula.bsky.social
Machine learning @ASML. ML for science. Ph.D. 2020. Husband, father, nerd. Based in San Diego, CA.
@latzplacian.bsky.social
Intrigued by inverse problems & uncertainties. Lecturer in Applied Mathematics at the University of Manchester (views are my own; he/him) | web: www.latzplacian.org
@jyim.bsky.social
PhD candidate at MIT CSAIL. Generative models, protein design. Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University. Website: https://people.csail.mit.edu/jyim/ X: https://x.com/json_yim
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF
@hplisiecki.bsky.social
Exploring the latent space of human experience. Here to meet cool people and share my findings. Follow to see cool NLP papers #Psychology #AI #OpenScience #NLP
@nishantharun.bsky.social
PhD candidate @CarnegieMellon / ex @MartinosCenter interested in bridging the gap between machine learning academia and clinical practice; uncertainty quantification / explainable AI
@kkt.bsky.social
Postdoc at Stanford. Previously PhD student at Berkeley AI research. Trying to understand proteins with microfluidics and machine learning. www.karlk.net
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@yuzheyang.bsky.social
Assistant Professor @UCLA | Scientist @Google | PhD @MIT | BS @PKU #ML, #AI, #health, #medicine https://people.csail.mit.edu/yuzhe/
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@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
@sebastianlerch.bsky.social
Professor at the Department of Mathematics and Computer Science at the University of Marburg, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
@ml4science.bsky.social
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
@mackelab.bsky.social
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍@ml4science.bsky.social, Tübingen, Germany
@jakhmack.bsky.social
#AI4Science #CompNeuro #NeuroAI #SBI www.mackelab.org @mackelab.bsky.social · Prof Uni Tuebingen ML4Science BCCN tue.ai · Adjunct MPI IS · Fellow ellis.eu · currently hiring postdocs and PhD students · sometimes goes for a run
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@btoader.com
Applied mathematician developing computational imaging tools #CryoET #TeamTomo Postdoc in Scheres & Bharat labs @ MRC Laboratory of Molecular Biology, Cambridge btoader.com
@jhartford.bsky.social
DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦
@olegranmo.bsky.social
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
@jdijkman.bsky.social
Infusing statistical physics with machine learning to describe molecular fluids. PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
@mandanas.bsky.social
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup. Doing research on AI and Neuroscience 🤖🧠 Based in Montreal. 🇨🇦
@vagar.bsky.social
Head of mRNA Platform Design Data Science @Sanofi (https://www.linkedin.com/in/vagarwal87). R&D in mRNA therapeutics using ML/DL. Formerly @ UTAustin, MIT, MSFTResearch, UW, & Calico. Latest work: gScholar (https://tinyurl.com/3xdfksy6)
@rohangorantla.bsky.social
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
@chatgtp.bsky.social
Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. EPFL alumnus.
@jobrandstetter.bsky.social
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
@nandofioretto.bsky.social
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io