Daolang Huang
PhD student at Aalto University 🇫🇮
Probabilistic ML, amortized inference.
See more at huangdaolang.com
@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!
@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
@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
@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
@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 🇬🇧
@robinryder.bsky.social
Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.
@adriencorenflos.bsky.social
Research Fellow at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
@richardcsuwandi.bsky.social
PhD Student at CUHK-Shenzhen | Bayesian Optimization, probabilistic machine learning, AI4Science https://richardcsuwandi.github.io
@willkurt.bsky.social
Working on open generative AI round the clock! ☀️ making LLMs incredible at .txt 🌙 Writing "A Damn Fine Stable Diffusion Book" https://mng.bz/GZyV
@pontilgroup.bsky.social
Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/
@claudiashi.bsky.social
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.com/
@dominikstrb.bsky.social
Postdoc at the Computational and Biological Learning Lab, University of Cambridge I use probabilistic methods and inverse optimal control to model continuous and sequential human behaviour under perceptual uncertainty. https://dominikstrb.github.io
@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.
@statwonk.bsky.social
Dad, Partner. Statistician-Econometrician-Engineer. AI Developer. Decision theory. Game theory. #autisticpride #9 at Zapier, first DS
@teemuroos.bsky.social
Your friendly neighborhood AI Professor, University of Helsinki • Lead Instructor of the Elements of AI online course • AI, machine learning, education, science comms • geek, runner, foodie #MLsky #dataBS
@yifanz99.bsky.social
ELLIS PhD student in Machine Learning at PML group - Aalto University, Finland. Collaborative AI, Computational Rationality, Theory of Mind, and more.
@handle.invalid
ML and Statistics researcher. Interested in privacy, causal inference, optimal transport. Website: donlapark.pages.dev
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@cyi12.bsky.social
Earth resilience, tipping behavior, nonlinear thinking, stability analysis, climate change, photosynthesis, soil respiration, tree mortality, Fulbright Scholar
@nazaal.bsky.social
ELLIS PhD student in Machine Learning @Aalto University, Finland Working on Bayesian experimental design, causality, human-in-the-loop models Maldivian nazaal.com
@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/
@sebastianober.bsky.social
Senior ML Scientist I at BigHat Biosciences. Previously: AstraZeneca, Secondmind, PhD student & Gates Cambridge Scholar at CBL in Cambridge. Views are my own.
@nicolabranchini.bsky.social
🇮🇹 Stats PhD @ University of Edinburgh 🏴 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about