Danica Sutherland
machine learning asst prof at @cs.ubc.ca and amii
statistical testing, kernels, learning theory, graphs, active learning…
she/her, 🏳️⚧️, @queerinai.com
@loriaj.bsky.social
Postdoc in probabilistic machine learning, Costarican loriaj.github.io Interested in Bayesian statistics and heavy tails El/He/Him
@stvrb.bsky.social
PhD candidate @UofT @VectorInst. Reliable, safe, trustworthy machine learning.
@tabularobot.bsky.social
👩🏻🔬 Postdoc, Université de Montréal & Mila with Glen Berseth & Yoshua Bengio 🤖 Causal learning for robots, RL agents, and embodied AI https://tabula-rosa.github.io/
@wattenberg.bsky.social
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
@rrwilliams.bsky.social
professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc. i'll let you know when P != NP is proved (and when it's not)
@tcsplus.bsky.social
TCS+ is the original online seminar in theoretical computer science, committed to the carbon-free dissemination of ideas across the globe since 2013. Talks from the cutting edge of research in TCS, for a wide audience: https://www.tcsplus.org
@sharvanijha.bsky.social
☆ always highlighting my way through one pdf or another! ☆ ✿ clippy enthusiast @microsoft ✿ fan + critique for @elfinucla + @queerinai
@tangjian.bsky.social
Associate Professor at Mila. Working on Generative AI, Geometric Deep Learning for Protein Design, Multiomics
@bowang87.bsky.social
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
@catherineregis.bsky.social
Law professor at Université de Montréal, Canada CIFAR Chair in AI and Human Rights, Canada research chair in Health Law and Policy, Academic Member at Mila, Director of social innovation and international policy at IVADO
@patrickpilarski.bsky.social
Professor and Canada CIFAR AI Chair (Amii) at the University of Alberta, Dept. Medicine, BLINCLab. Corporate director. Previously: office co-lead at DeepMind Alberta. https://pilarski.github.io
@neuralensemble.bsky.social
A leading cause of In Silico #Neuroscience world-wide since 2010 https://neuro.plasticit.ai
@nicolaspapernot.bsky.social
Security and Privacy of Machine Learning at UofT, Vector Institute, and Google 🇨🇦🇫🇷🇪🇺 Co-Director of Canadian AI Safety Institute (CAISI) Research Program at CIFAR. Opinions mine
@marloscmachado.bsky.social
Assistant Professor at the University of Alberta. Amii Fellow, Canada CIFAR AI chair. Machine learning researcher. All things reinforcement learning. 📍 Edmonton, Canada 🇨🇦 🔗 https://webdocs.cs.ualberta.ca/~machado/ 🗓️ Joined November, 2024
@programsynthesis.bsky.social
Assistant Professor - University of Alberta Canada CIFAR AI Chair with Amii Machine Learning and Program Synthesis he/him; ele/dele https://www.cs.ualberta.ca/~santanad
@glajoie.bsky.social
Professor at Université de Montréal & Mila -- Québec AI Institute mathematics - neuroscience - artificial intelligence
@rahulgk.bsky.social
Assistant Professor at the University of Toronto ⚒️ 🏥 Deep learning and causal inference for computational medicine
@ghadfield.bsky.social
Economist and legal scholar turned AI researcher focused on AI alignment and governance. Prof of government and policy and computer science at Johns Hopkins where I run the Normativity Lab. Recruiting CS postdocs and PhD students. gillianhadfield.org
@matthewguz.bsky.social
Assistant professor @ University of Alberta, Canada and CIFAR AI Chair @ Alberta Machine Intelligence Institute. Games, machine learning, and creativity. he/him
@angoldna.bsky.social
Stadtleben @falter.at | Quergeschrieben @diepressecom | “Versteckte Jahre” (Zsolnay), “I belong to Vienna” (New Vessel Press) | Team Aufmacher-Medienrunde Based in Vienna, Austria
@cgagne.bsky.social
Professor at Université Laval - IID - Mila | Machine Learning Researcher https://chgagne.github.io/
@audurand.bsky.social
Associate professor @ Université Laval - IID - Mila Interested in reinforcement learning, bandits, partial monitoring, active learning, ... anything that learns by getting its own data from the environment!
@michaelhbowling.bsky.social
Professor of Computing Science at the University of Alberta. Interested in AI, reinforcement learning, and games of all sorts.
@glenberseth.bsky.social
Assistant Prof at @UMontreal @mila-quebec.bsky.social @MontrealRobots . CIFAR AI Chair, RL_Conference chair. Creating generalist problem-solving agents for the real world. He/him/il.
@vzhong.bsky.social
Assistant Prof at University of Waterloo, CIFAR AI Chair at Vector Institute. Formerly UWNLP, Stanford NLP, MSR, FAIR, Google Brain, Salesforce Research via MetaMind #machinelearning, #nlp victorzhong.com
@cathywu.bsky.social
AI+Transportation. Creating computational tools for engineers to reimagine systems for society. Neural combinatorial optimization. Reinforcement learning. Associate Prof. at MIT. Hype adjacent. http://www.wucathy.com/
@aadharna.bsky.social
PhD Student at UBC under Dr. Jeff Clune. Interested in RL, Generative Modeling, and Games (both for AI and for me)
@climatechangeai.bsky.social
Tackling climate change with machine learning. We facilitate cooperation and provide resources for those working in this area. Share is not endorsement. // https://www.climatechange.ai/
@mkearnsphilly.bsky.social
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/
@cyroid.bsky.social
Researcher at Google. Improving LLM factuality, RAG and multimodal alignment and evaluation. San Diego. he/him ☀️🌱🧗🏻🏐 Prev UCSD, MSR, UW, UIUC.
@pontilgroup.bsky.social
Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
@erfunmirzaei.bsky.social
Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova. Interested in (deep) learning theory and others.
@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/
@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?👌…)
@exteriorpower.bsky.social
AI Reasoning. On sabbatical, formerly @OpenAI. Empiricist, Coherentist, and generally ineffective egoist. Queer, trans & non-binary (they/them)
@mlcv-at-ista.bsky.social
Professor at ISTA (Institute of Science and Technology Austria), heading the Machine Learning and Computer Vision group. We work on Trustworthy ML (robustness, fairness, privacy) and transfer learning (continual, meta, lifelong). 🔗 https://cvml.ist.ac.at
@silviasellan.bsky.social
Incoming Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
@sosentos.bsky.social
Building a co-pilot for hardware designers at Vinci4d. Formerly SVP of Engineering Iron Ox. WiML president, COO Mayfield Robotics Roboticist/Machine Learning Researcher
@milago.bsky.social
PhD student in Machine Learning @ MPI-IS Tübingen, Tübingen AI Center, IMPRS-IS
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her