Rickard Karlsson
PhD student working on causal inference and ML @ TU Delft
rickardkarlsson.com
@ianws.bsky.social
Postdoc @ UC Berkeley | statistics, probability, machine learning, privacy 🇨🇦 ianws.com
@rpatrik96.bsky.social
PhD student working on understanding why neural nets generalize @MPI Tübingen | ex-Vector | path2phd.substack.com | 🇭🇺 🇪🇺
@dennisfrauen.bsky.social
(Ellis) PhD student at LMU Munich. Interested in causal machine learning and reinforcement learning
@maxxxzdn.bsky.social
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.
@irenetrampoline.bsky.social
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF. https://irenechen.net/
@lilybellesweet.bsky.social
PhD student at UFZ - interested in explainable machine learning, agriculture and food security, compound climate events 🌾
@akumar03.bsky.social
<Causality | Ph.D. Candidate @mit | Physics> I narrate (probably approximately correct) causal stories. Past: Research Fellow @MSFTResearch Website: abhinavkumar.info
@alinaleidinger.bsky.social
PhD student in NLP+AI Ethics @ ILLC, University of Amsterdam prev maths at Imperial College London, TUM #NLP #NLProc
@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 🇿🇦
@aschuler.bsky.social
Assistant Professor of Biostatistics UC Berkeley semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice Modern Causal Inference Book: alejandroschuler.github.io/mci/
@nmervegurel.bsky.social
Assistant Professor in Computer Science Research in ML robustness, reliability and reasoning PhD from ETH Zurich🇨🇭 Executive Editor of DMLR Journal Organizing Committee NeurIPS and ICLR
@awmsauter.bsky.social
All things causality, RL and generative models. PhD student in Amsterdam and Leiden.
@urisohn.bsky.social
Pragmatic methodologist and behavioral scientist at Esade business school. Barcelona website: https://urisohn.com Blog: https://DataColada.org
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@eweinstein.bsky.social
Postdoc at Columbia with Dave Blei // Jura Bio // machine learning, statistics, biophysics, genomics On the 2024-2025 academic job market. https://eweinstein.github.io/
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@rdeheide.bsky.social
Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
@idiaz.bsky.social
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/
@fabiantheis.bsky.social
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
@danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@soufmourra.bsky.social
Machine Learning @ Ensocell Comp-Bio | Single Cell | Oncology 📍Cambridge, UK Prev. van Oudenaarden group, Hubrecht, TU Delft, NKI Amsterdam & Mines Paris
@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