Renato Berlinghieri
PhD student, MIT EECS. Interested in statistical inference, machine learning, optimal transport.
@beafranzo.bsky.social
Researcher in Statistics @Unibocconi | she/her Personal Website at https://beatricefranzolini.github.io/
@emaros96.bsky.social
MLxBio @vant_ai. Previously, research @Twitter and FabulaAI (acquired by Twitter). PhD in Graph ML at @imperialcollege and @Cambridge_Uni alumnus
@piermorgante.bsky.social
#MachineLearning editor at @iopp-mlresearch.bsky.social (@ioppublishing.bsky.social). Theoretical chemist. LEGO fan. #DFT #compchem #chemistry #DogsofCompChem #Quantum Proud member of #ChemSky Personal+work account (all views my own) 📍Buffalo, NY
@ltronneberg.bsky.social
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@pnkraemer.bsky.social
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/
@saurabhprasad-2.bsky.social
💙 Software Architect & Sr. Fullstack Engineer / Dev - Java, JS, Python, ML/AI Other interests: CompSci, Tech, Startups, Academia, Research, Electronics, Mathematics, Physics, Space, Science, AR/VR, Robotics, Guitar, Piano, Sci-fi, Languages
@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/
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@sperez-vieites.bsky.social
Postdoctoral researcher at Aalto University and FCAI, Helsinki 🇫🇮 Previously in Edinburgh, Lille and Madrid. Working on Bayesian inference for state-space models, and Bayesian experimental design. https://sarapv.github.io/
@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
@raulpl25.bsky.social
Data scientist interested in causal inference, Bayesian statistics and data visualization.
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=6Qa-wXMAAAAJ&sortby=pubdate
@gcorso.bsky.social
PhD student @MIT • Research on Generative Models for Biophysics and Drug Discovery
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app