Sports Analytics jobs: www.sportsjobs.online
Data science, machine learning, basketball
@alex-andorra.bsky.social
⚾ Senior Applied Scientist @ Miami Marlins 🎙️ Creator @learnbayesstats.com podcast 📊 Cofounder @pymc_labs 👨🏫 Teacher @IntuitiveBayes
@samuelvaiter.com
CNRS Researcher in maths & computer science. My (current) focus is machine learning and optimization. I live & work in Nice 🇫🇷 website: https://samuelvaiter.com
@konstmish.bsky.social
Research Scientist at Meta Paris Code generation, math, optimization
@shamkakade.bsky.social
Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@dailydatascience.bsky.social
🧑💻 President @athlyticz.bsky.social ⚾ Special Assistant, Baseball Research & Development @miamimarlins.bsky.social https://athlyticz.com
@sportsdataverse.org
Building the network of people and open-source sports data packages to foster diversity and inclusion in sports analytics. Visit our site (sportsdataverse.org) or check our GitHub (github.com/sportsdataverse). Contact @saiemgilani.bsky.social for q's
@athlyticz.bsky.social
https://athlyticz.com 📊 What We Offer: Dive deep into data science and programming concepts, uniquely taught through captivating sports analytics examples, applicable to all industries such as engineering, finance, sports, medicine, and more!
@veerle.hypebright.nl
Teaches #rstats and #rshiny ✨🙋🏼♀️. Loves Olympic Weightlifting, hiking in the Alps, and doggos (especially Dalmatians). Currently on maternity leave for the rest of 2025 🤱🏼. LinkedIn: https://www.linkedin.com/in/veerlevanleemput/
@saiemgilani.bsky.social
Creator of the SportsDataverse (@sportsdataverse.org): https://sportsdataverse.org | Game on Paper (@gameonpaper.com): gameonpaper.com/cfb/
@rshiny.bsky.social
Daily tips and tricks to enhance your Shiny Apps. Use hashtag #rshiny and tag our page with your best Shiny Apps!
@gameonpaper.com
Official account of Game On Paper, the preeminent source for college football advanced analytics created by @akeaswaran.me + @saiemgilani.bsky.social. Human posts by @jacknicolaus.bsky.social. Part of @sportsdataverse.org https://gameonpaper.com
@perfectfall.com
I develop things. Check out website below for Weekly College Football Ratings using my PFI Rating Algorithm. https://perfectfall.com
@rossdrucker9.bsky.social
Chicago & Illini sports | 2x @UofIllinois grad | Currently: Demand Analytics | Formerly: @MLB
@tejfbanalytics.bsky.social
football data science | stats & scheme podcast | games are played on the field, not on spreadsheets ॐ
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@jennwv.bsky.social
Sr. Principal Researcher at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // More at http://jennwv.com
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@nunezanalyzed.bsky.social
Asst. Prof. University of Amsterdam, rock climber, husband, father. Model-based (Mathematical) Cognitive Neuroscientist. I study decision-making, EEG, 🧠, statistical methods, etc. 🇺🇦🇪🇺
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@matthijspals.bsky.social
Using deep learning to study neural dynamics @mackelab.bsky.social
@approxbayesseminar.bsky.social
Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
@bayesflow.org
Amortized Bayesian Workflows in Python. 🎲 Post author sampled from a multinomial distribution, choices ⋅ @marvinschmitt.bsky.social ⋅ @paulbuerkner.com ⋅ @stefanradev.bsky.social 🔗GitHub github.com/bayesflow-org/bayesflow 💬Forum discuss.bayesflow.org
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@stefanradev.bsky.social
Assistant Professor at Rensselaer Polytechnic Institute (RPI) Bayesian | Computational guy | Name dropper | Deep learner | Book lover Opinions are my own.
@schumacherlu.bsky.social
Postdoctoral Researcher at University of Basel Interested in Cognitive Modeling | Decision Making | Dynamics in Cognition | Amortized Bayesian Inference | Superstatistics
@yungbayesian.bsky.social
PhD student at TU Berlin, working on generative models and inverse problems he/him
@yugahikida.bsky.social
Doctoral researcher at Aalto University Simulation-based Inference, Probabilistic ML yugahikida.github.io
@stephenrgreen.bsky.social
Black holes, gravitational waves, and AI. UKRI Future Leaders Fellow @ University of Nottingham. https://www.stephenrgreen.com/
@lukasheinrich.com
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
@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
@rdgao.bsky.social
computational neuroscience, machine learning, occasionally cognitive science | inverting brain circuits towards translational neuroscience. 🌊 www.rdgao.com
@makagan.bsky.social
Physics + Machine Learning Scientist at SLAC National Laboratory at Stanford
@auschulz.bsky.social
PhD student @mackelab.bsky.social - machine learning in (neuro)science. Co-CEO of KI macht Schule gGmbH
@mackelab.bsky.social
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍@ml4science.bsky.social, Tübingen, Germany
@janboelts.bsky.social
Researcher at appliedAI Institute for Europe. Working on simulation-based inference and responsible ML
@gmoss13.bsky.social
PhD student at @mackelab.bsky.social - machine learning & geoscience.
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io