Muneeb Aadil
Stats PhD student @ UCL. Interested in causality, active learning and decision making. Previously at CISPA, MPI-INF, and Saarland University.
https://muneebaadil.github.io
@ryzhang.bsky.social
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK. Research Interests: Sampling Algorithms, Bayesian Experiment Designs, Neural Amortization. https://shusheng3927.github.io/
@jakefawkes.bsky.social
PhD in Statistical ML at University of Oxford. Interested in the intersection of causal inference and ML.
@shahine.bsky.social
Statistics and climate science. Postdoc at MIT EAPS, prev PhD at Oxford. he/him. shahineb.github.io
@murat-kocaoglu.bsky.social
Asst. Prof. at Purdue ECE. Causal ML Lab. Causal discovery, causal inference, deep generative models, info theory, online learning. Past: MIT-IBM AI Lab, UT Austin, Koc, METU.
@cianeastwood.bsky.social
Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery. PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify. 📍London 🔗 cianeastwood.github.io
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@sorawitj.bsky.social
PhD student at ETH Zurich, Seminar for Statistics Research interests: Causality and Distributional Shifts https://sorawitj.github.io/
@jhartford.bsky.social
DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦
@statisticsucl.bsky.social
UCL Statistical Science was the first university statistics department in the world when founded in 1911. Methodological & applied statistics. Fun place to work https://www.ucl.ac.uk/statistics/
@mnaslidnyk.bsky.social
PhD @ FAI CDT at UCL (and often found at @statisticsucl.bsky.social ). ⚡Statistical learning; ☄️GPs and kernel methods. 🌐 mashanaslidnyk.github.io 🙋🏻♀️ she/her
@krikamol.bsky.social
Chief Scientist/Faculty at Rational Intelligence Lab @CISPA; Chief Research Officer (CRO) @ http://Cifer.AI; Previously @MPI_IS, @MahidolU, @uclcs, @GatsbyUCL.
@zhuyuchen.bsky.social
Machine Learning PhD student @UCL. Interested in Causality and AI Safety. yuchen-zhu.github.io
@a-marx.bsky.social
Prof. at TU Dortmund and RC Trust | Chair for Causality | Research on Causality, Machine Learning and Information Theory | Prev. ETH Zürich, ETH AI Center, CISPA and MPI for Informatics | Website: https://www.a-marx.com
@osmanmian.bsky.social
www.sites.google.com/view/mian/ | Post Doc @ Institute for Artificial Intelligence in Medicine at Uniklinikum Essen | Previously Ph.D. Student. Causal Inference and Discovery @CISPA Helmholtz Center for Information Security
@khurramjaved.com
Working on scalable and decentralized algorithms for real-time reinforcement learning. Research scientist @ Keen AGI Prev - PhD with Richard S. Sutton
@slchau.bsky.social
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 https://chau999.github.io/
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app