@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@javaloyml.bsky.social
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia. 🌐 adrianjav.github.io
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@elseml.bsky.social
💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
@yungbayesian.bsky.social
PhD student at TU Berlin, working on generative models and inverse problems he/him
@willigo09.bsky.social
Working on #SelfDrivingLabs at the Acceleration Consortium @ UofT. Former employee at dsm-firmenich working on self-driving labs for food applications. Interested in systems biology, microbial communities, ML/AI, software development, product management.
@sethaxen.com
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang. Expat: 🇺🇸 ➡️ 🇩🇪 💼 On the job market (remote/Stuttgart area) sethaxen.com
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@ayushbharti.bsky.social
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence. Website: http://bharti-ayush.github.io
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@arviz.bsky.social
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang www.arviz.org
@dsam99.bsky.social
Machine Learning PhD Student at CMU | Student Researcher at Google | dsam99.github.io
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@datasciencedad.bsky.social
Data Scientist. Voice of Reason. Dad of synesthetic composer Jacqueline Cordes jacquelinecordes.com Chess, Poker, and Physics
@erpel.bsky.social
phd student working on bayesian methods in bioimage analysis; @fz-juelich.de, @hds_lee & @lmumuenchen.bsky.social; bsc+msc in comp sci @univie.ac.at; based in karlsruhe; ripaul.github.io
@adam-fleischhacker.bsky.social
Navigating life with smiles, skills, and an eye on better. UD prof, inventor, app developer, entrepreneur. https://causact.com https://persuasivepython.com https://emergencyhealthfix.com
@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
@sbi-devs.bsky.social
Community-maintained simulation-based inference (SBI) toolkit in PyTorch: • NPE, NLE & NRE • amortized and sequential inference • wide range of diagnostics Posts written by @deismic.bsky.social & @janboelts.bsky.social. 🔗 https://github.com/sbi-dev/sbi
@bertrand-sharp.bsky.social
Founder, President & Chief Scientist @PrunaAI | Prev. @Twitter research, Ph.D. in ML @TU_Muenchen
@olegranmo.bsky.social
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
@rochussen.bsky.social
Doctoral researcher at Helmholtz AI supervised by Vincent Fortuin. University of Cambridge engineering graduate. Probabilistic machine learning. sheev13.github.io
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@aloctavodia.bsky.social
Research Fellow at Aalto University. Open source contributor #ArviZ, #Bambi, #Kulprit, #PreliZ, #PyMC, #PyMC-BART. Support me at https://ko-fi.com/aloctavodia https://bayes.club/@aloctavodia
@pymc-labs.bsky.social
The Bayesian Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
@davidruegamer.bsky.social
Associate Prof @ LMU Munich PI @ Munich Center for Machine Learning Ellis Member Associate Fellow @ relAI ----- https://davidruegamer.github.io/ | https://www.muniq.ai/ ----- BNNs, UQ in DL, DL theory (Overparam, Implicit Bias, Optim), Sparsity
@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 🇬🇧
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@jsellenberg.bsky.social
Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
@michaelhoffman.bsky.social
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network. Associate Professor, Medical Biophysics, University of Toronto. Disclosures: https://github.com/michaelmhoffman/disclosure/
@zacharylipton.bsky.social
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@gaelvaroquaux.bsky.social
Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD
@neuroai.bsky.social
Principal Researcher @ Microsoft Research. Cognitive computational neuroscience & AI. Writer. Nature wanderer. www.momen-nejad.org
@paulbuerkner.com
Full Professor of Computational Statistics at TU Dortmund University Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams Website: https://paulbuerkner.com Opinions are my own
@neurobongo.bsky.social
VP, AI Models @IBMResearch, IBM Director, @MITIBMLab. Former prof and serial/parallel entrepreneur.
@rajiinio.bsky.social
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@drannecarpenter.bsky.social
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
@kareemcarr.bsky.social
Stats PhD student @Harvard • My posts are a cool, refreshing breeze of nerdy content crafted for a broad audience. Follow me to enter the nerd space safe.
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/