@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@samuelvaiter.com
CNRS Researcher in maths & computer science. My (current) focus is machine learning and optimization. I live & work in Nice 🇫🇷 website: https://samuelvaiter.com
@cottascience.bsky.social
Postdoc fellow at Vector Institute; Machine Learning & Causal Inference; From BH🔺🇧🇷 in TO 🇨🇦 http://cottascience.github.io
@maxthiessen.bsky.social
PhD student in machine learning at TU Wien. Graphs | active learning | learning theory https://maxthiessen.github.io
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦
@jugander.bsky.social
Associate Professor, Stanford MS&E. Visiting Yale FDS '24-'25. Social networks, social and behavioral data, causal inference, mountains. www.stanford.edu/~jugander/
@pseudomanifold.topology.rocks
Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While #geometry & #topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group
@idris1.bsky.social
Johns Hopkins CS PhD student. #MedicalRobotics #ComputerVision #DeepLearning #Guitar
@omrisuissa.com
Postdoc @ Brown DSI VP R&D @ ClearMash 🔬 Passionate about high-fidelity numerical representations of reality, aligned with human perception. https://omri.alphaxiv.io/ #nlp #multimodality #retrieval #hci #multi-agent
@prashantgarg.bsky.social
Econ PhD @imperial. Visiting researcher at IFC and Cambridge. AI and networks in economics. www.prashantgarg.org
@hamedshirzad.bsky.social
PhD student in Computer Science at UBC | Exploring Machine Learning on Graphs https://www.hamedshirzad.com/
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@mniepert.bsky.social
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
@michaelcochez.bsky.social
Researcher, machine learning with knowledge graphs Assistant professor at Vrije Universiteit amsterdam
@tkrusch.bsky.social
AI postdoc @ MIT CSAIL PhD @ ETH Zurich https://konstantinrusch.com/
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@ipsit.bsky.social
Looking for a PhD Position in Topological Deep Learning | Ex Sony AI | Purdue | IIT Bombay ipsitmantri.github.io
@eijkelboomfloor.bsky.social
PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
@davidaknowles.bsky.social
machine learning and functional/statistical genetics. Associate Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@sherrirose.bsky.social
Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account
@roxanadaneshjou.bsky.social
Assistant professor of biomedical data science and dermatology at Stanford. AI for healthcare. Associate editor at NEJM AI and the Journal of Investigative Dermatology. Mother of a sassy girl and a baby boy.
@kdpsingh.bsky.social
Faculty at UC San Diego. Chief Health AI Officer at UC San Diego Health. Creator of Tidier.jl #JuliaLang. #GoBlue. Views own.
@irenetrampoline.bsky.social
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF. https://irenechen.net/
@emilyalsentzer.bsky.social
Assistant Professor at Stanford. Trustworthy, deployable ML/NLP for healthcare.
@amalaa.bsky.social
Assistant Professor at UC Berkeley and UCSF. Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@jessicaschrouff.bsky.social
Director of Responsible AI @GSK | Interested in Responsible AI, AI for healthcare, fairness and causality | Prev. Google DeepMind, Google Health, UCL, Stanford, ULiege | WiML board/volunteer. She/her.
@brwilder.bsky.social
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
@healthailab.org
Health and AI Lab at Stevens Institute of Technology. Causal inference, precision nutrition, diabetes, decision making, and health informatics. http://www.healthailab.org
@epet.bsky.social
Medical AI / AI ethics. DE, previously DK. Father of twins, a dog, and a cat.
@stephenpfohl.bsky.social
Research scientist at Google. Previously Stanford Biomedical Informatics. Researching #fairness #equity #robustness #transparency #causality #healthcare
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@rajiinio.bsky.social
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
@schancellor.bsky.social
Assistant prof at UMN CS. Human-centered AI, online communities, risky mental health behaviors. Mom, lifter, nerd, haver of opinions.
@etchin.bsky.social
Assistant Professor of Biostatistics at Johns Hopkins • health equity • data science • studying mass incarceration and algorithm bias
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@twkillian.bsky.social
Senior Research Scientist @MBZUAI. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
@tommylofstedt.bsky.social
Docent, associate professor. Machine learning & computer vision. Umeå University, Sweden.
@maartenvsmeden.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@quaidmorris.bsky.social
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai He/him/his
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@andrewlbeam.bsky.social
Chief Technology Officer FL97, Inc. - Professor @ Harvard Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc