Academy Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author.
#mcmc_stan and
#arviz developer.
Web page
users.aalto.fi/~ave/
Harvard Applied Math PhD student. Neural computation
![]()
Prof at the University of British Columbia. Research in statistics, ML, and AI for science. Views are my own.
https://charlesm93.github.io./
Researcher in Statistics and AI | Specialisms: Reinforcement Learning, Bandits
Lecturer @ Lancaster University | he/him | 🏳️🌈🏴 | views own
Book nerd 📚 | Dog lover 🐶 | Inconsistent runner 🏃
lancaster.ac.uk/staff/grantj/
Posts about Bayesian statistics, Monte Carlo, etc from a Reader and Deputy Head of Department (T&L) at Warwick Statistics. Personal account.
richardgeveritt.github.io
Researcher in computational mathematics
Theory of deep learning, optimal transport, optimization
EPFL
![]()
![]()
Developing AI responsibly.
Senior Staff Research Scientist at Google DeepMind. Opinions are my own.
Researcher in machine learning
![]()
Machine learning researcher at Microsoft Research. Adjunct professor at Stanford.
Assistant Professor at the Department of Computer Science, University of Liverpool.
lutzoe.github.io
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni
![]()
PhD candidate at UCSD. Prev: NVIDIA, Meta AI, UC Berkeley, DTU. I like robots 🤖, plants 🪴, books 📚, and they/them pronouns 🏳️🌈
https://www.nicklashansen.com
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
alexxthiery.github.io![]()
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
![]()
![]()
Bayesian modelling and computation - postdoc at MRC Biostatistics Unit, University of Cambridge
![]()
![]()
Postdoc with Andrew Saxe at the Gatsby unit.
Incoming Assistant Professor in Statistical Machine Learning @ NTU Singapore 🇸🇬 Interested in Uncertainty-aware ML, Explainable ML, and preference learning.
Currently Postdoc @CISPA, previously at @OXCSML, @Amazon, @MPI_IS
chau999.github.io
computational biologist and statistician interested in how genes encode shape, form, and dynamics during development and regeneration; assistant professor @Columbia University
morpho-lab.com
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬
pierrealquier.github.io
Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
full-time ML theory nerd, part-time AI-non enthusiast
Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France.
chriswolfvision.github.io/www/
Senior Lecturer
#USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Applied probabilist. Probability, MCMC, optimization, information theory, TCS.
mchchoi.github.io
We're a membership body for statisticians and data professionals, promoting a world with data at the heart of understanding and decision-making.
![]()
Systems neuro PhD student at SWC/The Crick (UCL, London). Cell types and decision-making.
Znamenskiy lab, Mrsic-Flogel lab