CS PhD student at the University of Birmingham. Research interests: automated machine learning-AutoAI (Bayesian Optimization, GPs & meta-learning) and reinforcement learning. 🏳️🌈. https://sites.google.com/view/zhaoyangwang/home
Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand biological systems from new angles of attack
Hon. Associate Professor UCL CS | Ex-Dir. Research AI for Good & Head of Element AI London Office | Ex-DeepMind. He/Him | https://cornebise.com
Stats PhD student @ UCL. Interested in causality, active learning and decision making. Previously at CISPA, MPI-INF, and Saarland University.
https://muneebaadil.github.io
Studying genomics, machine learning, and fruit. My code is like our genomes -- most of it is junk.
Guest Scientist IMP Vienna, Board of Directors NumFOCUS
Incoming Prof UMass Chan Medical
Previously Stanford Genetics, UW CSE.
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, Compute Acceleration in biotech // http://albertvilella.substack.com
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
PhD @ ETH Zurich - VLG | Ex-Intern @ Meta.
https://ellis-jena.eu is developing+applying #AI #ML in #earth system, #climate & #environmental research.
Partner: @uni-jena.de, https://bgc-jena.mpg.de/en, @dlr-spaceagency.bsky.social, @carlzeissstiftung.bsky.social, https://aiforgood.itu.int
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15.
https://neurips.cc/
Currently @ Yale, working on causal inference & cutting down on caffeine.
Website: melodyyhuang.com
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Carpe espresso ☕
Associate Professor in Machine Learning
Manchester Centre for AI FUNdamentals
Department of Computer Science
The University of Manchester
Alumn UCL, DeepMind, U Alberta, PUCP
Deep Thinker.
Posts / reposts might be non-deep.
Assistant professor at UIUC iSchool.
Previously at Purdue CS.
Work on Causal Data Science
https://yonghanjung.me/
Statistician. PhD @Harvard • Masters degree in pure math • Follow me for fun, nerdy content.
Sign up to my newsletter: kareemcarr.substack.com
I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
