Jacob Portes
Research Scientist @MosaicMLxDatabricks. I like it when neuroscience inspires AI 🧠+🖥️
@standupforscience.bsky.social
Because Science is for everyone! 🧪🌎 Learn more ⬇️ https://linktr.ee/standupforscience2025 👯sister org: @sciforgood.bsky.social
@brettlarsen.bsky.social
Research Scientist @ Databricks Mosaic Research Efficient AI + math of data science bwlarsen.github.io
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@ccanonne.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@optimistsinc.bsky.social
Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
@jrudoler.bsky.social
wharton stats phd — ml theory, ml for science prev: comp neuro, data, physics working with Edgar Dobriban and Konrad Körding also some sports (esp. philly! go birds)
@chanpyb.bsky.social
PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics https://chanb.github.io/
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@kfountou.bsky.social
Associate Professor at CS UWaterloo Machine Learning Lab: opallab.ca
@gokul.dev
PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@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
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@amartyasanyal.bsky.social
Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
@bipr.bsky.social
ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@carl-allen.bsky.social
Laplace Junior Chair, Machine Learning ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..) Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@suinlee.bsky.social
Paul G. Allen Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/
@michaelhoffman.bsky.social
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network. Associate Professor, Medical Biophysics, University of Toronto. Disclosures: https://github.com/michaelmhoffman/disclosure/
@sroyyors.bsky.social
Regulatory genomics, machine learning, networks, systems biology, evolution
@casey.greenelab.com
Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.
@bowang87.bsky.social
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
@jianma.bsky.social
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
@drannecarpenter.bsky.social
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
@emilymbender.bsky.social
Book: https://thecon.ai Web: https://faculty.washington.edu/ebender
@anshulkundaje.bsky.social
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
@maitreya.bsky.social
My lab works on genome evolution, using yeast genetics and genomics. Chair, Department of Genome Sciences at University of Washington. Lab website: https://depts.washington.edu/dunhamlab/
@sashagusevposts.bsky.social
Statistical geneticist. Associate Prof at Dana-Farber / Harvard Medical School. www.gusevlab.org
@quaidmorris.bsky.social
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai He/him/his
@davidaknowles.bsky.social
machine learning and functional/statistical genetics. Assistant Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
@proflhunter.bsky.social
Knowledge based biomedical data science, artificial intelligence for discovery in molecular biomedicine, computational bioethics, theory of mattering. University of Chicago / Big Island HI
@bingbrunton.bsky.social
Scientist interested in all aspects of brain and behavior. Loves to talk math and data. Prof of Biology at University of Washington, Seattle. Mom of 2 epsilons; paints in watercolor here, there, and anywhere.
@pkoo562.bsky.social
AI4Science researcher. Associate Professor @CSHL. My lab advances AI for genomics and healthcare! http://koo-lab.github.io
@thearmita.bsky.social
physicist, interested in biology --- Assoc. Prof. of physics @UW (Seattle)
@alexmorgan.bsky.social
Physician/scientist, partner at Khosla Ventures, investing in the future. 25 years of experience in the intersection of AI/ML, biotech and healthcare. Personal interests in art (painting, drawing, photography), sci-fi/fantasy, anthropology, and history.
@manoliskellis.bsky.social
@atulbutte.bsky.social
Chief Data Scientist U of CA Health・Director, Bakar Computational Health Sci Institute・Distinguished Prof af UCSF・Entrepreneur・He/him・Opinions ⇨ my own