Kirill Neklyudov
Assistant Professor at Mila and UdeM
https://necludov.github.io/
@arthurgretton.bsky.social
@rociomer.bsky.social
Assistant professor in Data Science and AI at Chalmers University of Technology | PI: AI lab for Molecular Engineering (AIME) | rociomer.github.io
@matematija.bsky.social
A computational quantum physics postdoc at ETH Zurich. I love coding, math tricks and fancy dinners. Enthusiast procrastinator.
@maxxxzdn.bsky.social
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.
@karstenkreis.bsky.social
Principal Research Scientist at NVIDIA | Former Physicist | Deep Generative Learning | https://karstenkreis.github.io/ Opinions are my own.
@grant.rotskoff.cc
Statistical mechanic working on generative models for biophysics and beyond. Assistant professor at Stanford. https://statmech.stanford.edu
@danilobzdok.bsky.social
Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand human-defining brain circuits
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@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
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@hyperpotatoneo.bsky.social
PhD student at Mila | Diffusion models and reinforcement learning 🧐 | hyperpotatoneo.github.io
@lazaratan.bsky.social
Ph.D. Candidate, UofT & Vector. AI4Science, flows and diffusion, ML for causal dynamics in cells. Prev. Mila, Valence/Recursion, and Deep Genomics.
@markusdeserno.bsky.social
Theoretical and computational biophysicist at Carnegie Mellon University. Loves lipid membranes, music, and art. (he/him) 🇩🇪🇺🇸
@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.
@martaowesyou.bsky.social
UofT CompSci PhD Student in Alán Aspuru-Guzik's #matterlab and Vector Institute | prev. Apple
@felix-s-k.bsky.social
Assistant Professor of Digital Chemistry (@uni-wuppertal.bsky.social) – building digital tools for synthesis and catalysis. Former: U Toronto (Postdoc) | U Münster (PhD) | MIT (Visiting Researcher) https://fsk-lab.github.io
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@danilojrezende.bsky.social
VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine. Opinions my own. https://danilorezende.com/
@bengioe.bsky.social
Staff ML Scientist @valenceai.bsky.social Labs/Recursion Pharma, Mila GFlowNets, molecules & stuff https://folinoid.com
@josephdviviano.bsky.social
humanistic technology bretheren @MILA_Quebec & @creativedlab Mentor ~ AI for Science ~ ex @deepgenomics & @CAMHResearch, intern @google & @imagia_ai ~ www.viviano.ca
@valenceai.bsky.social
Industrializing scientific discovery to radically improve lives. Powered by @recursionpharma.bsky.social
@smnlssn.bsky.social
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@jrichterpowell.bsky.social
Current: @NVIDIA / PhD student @MIT [on hiatus]. Former UofT/Vector/MILA/McGill. Opinions my own. 🏳️⚧️ 🏳️🌈
@sologen.bsky.social
Research Goal: Understanding the computational and statistical principles required to design AI/RL agents. Associate Professor at Polytechnique Montréal and Mila. 🇨🇦 academic.sologen.net
@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
@dom-beaini.bsky.social
Research Lead at @valenceai.bsky.social, Adjunct prof at @UMontreal and @Mila_quebec, interested in AI, deep learning, drug discovery, graphs, geometry, biology, chemistry, physics, philosophy, and the origin of life 🧠🦠 Aims to become a crazy scientist 👨🔬
@mila-quebec.bsky.social
Le plus grand centre de recherche universitaire en apprentissage profond — The world's largest academic research center in deep learning.
@averyryoo.bsky.social
i like generative models, science, and Toronto sports teams phd @ mila/udem, prev. @ uwaterloo averyryoo.github.io
@tyrellturing.bsky.social
Researcher and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal at @mcgill.ca and @mila-quebec.bsky.social.
@katelobacheva.bsky.social
Postdoc Mila and UdeM Like to explain unexpected behavior of neural nets 🤯 https://tipt0p.github.io/
@handle.invalid
Asst. Professor of Physics, Chemistry, Mathematics, Neural Science at NYU | Simons Foundation Faculty Fellow | Open Science http://colabfit.org martinianilab.org
@alextong.bsky.social
ML + Cells + Proteins. Postdoc @ Mila w/ Yoshua Bengio. Visiting Postdoc @ Oxford w/ Michael Bronstein. Incoming Asst. Prof. @ Duke.
@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