Solderlocks @solderlocks.bsky.social Serial pursuer of insurmountable hardware and software problems, armed primarily with unwarranted optimism.
https://github.com/solderlocks
Marco Bonici @marcobonici.bsky.social PostDoc at the Waterloo Center for Astrophysics. Working on Cosmic Voids and Large Scale Structure of the Universe. JuliaLang enthusiast. Improv Theatre and StandUp comedy lover.- A Andreas Ziehe @aziehe.bsky.social Senior Researcher in machine learning (ML) at TU Berlin and BIFOLD; Alumnus of Humboldt University of Berlin and University of Potsdam, Germany.
Adrian Hill @adrianhill.de PhD student at @bifold.berlin, Machine Learning Group, TU Berlin.
Automatic Differentiation, Explainable AI and #JuliaLang.
Open source person: adrianhill.de
Sam Power @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
Liza Semenova @liza-semenova.bsky.social Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming: check out my evolving #Numpyro course: https://elizavetasemenova.github.io/prob-epi 🚀
Magnus Ross @magnusar.bsky.social Postdoc at UCL AI Center. Currently work on: forecasting, uncertainty quantification, antimicrobial resistance. Previously: Gaussian processes, physics informed ML, trading power.
https://magnusross.github.io
- S @simeonschaub.bsky.social @simeonschaub.bsky.social
Leiv Rønneberg @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 🇬🇧
Pat Alt @patalt.org Trustworthy AI, Counterfactual Explanations, Open-Source Software and other PhD things at TU Delft.
@julialang.org developer @taija.org
Website: www.patalt.org
John @arbitrandomuser.bsky.social JuliaLang,
Alex Thiery @alexxthiery.bsky.social Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
@keja.bsky.social @keja.bsky.social 
Guillaume Dalle @gdalle.bsky.social Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Seth Axen 🪓 @sethaxen.com Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Often in #JuliaLang.
Expat: 🇺🇸 ➡️ 🇩🇪
💼 On the job market (remote/southwest Germany)
sethaxen.com
@drcms02.bsky.social @drcms02.bsky.social 
Chad Scherrer @cscherrer.bsky.social Doing Bayesian stuff in #rustlang and #julialang. Seattle
Kyle @darsnack.bsky.social NeuroAI Scholar @ CSHL
https://www.darsnack.info
Previously maintaining FluxML to procrastinate
Previously EE PhD at UW-Madison, comp. eng. / math at Rose-Hulman
Cameron @cameron.stream 🤙
Building machines that learn at @letta.com
https://cameron.stream