Daolang Huang
PhD student at Aalto University 🇫🇮
Probabilistic ML, amortized inference.
See more at huangdaolang.com
@loriaj.bsky.social
Postdoc in probabilistic machine learning, Costarican loriaj.github.io Interested in Bayesian statistics and heavy tails El/He/Him
@icthiit.bsky.social
HIIT is a strategic partnership between Aalto University and University of Helsinki. We offer funded positions and support for researchers working in information and communications technology. About us Helsinki IT research
@vyeoms.bsky.social
ELLIS PhD student in ML at Aalto University and the University of Manchester
@omarrivasplata.bsky.social
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.
@mtamborrino.bsky.social
Reader in Statistics at the University of Warwick | Inference for Stochastic processes | Simulation-based inference| Stochastic Numerics | Parallel-in-time numerical methods| Stochastic Modelling | Neuroscience | www.warwick.ac.uk/tamborrino
@samikaski.bsky.social
Probabilistic machine learning and its applications in AI, health, user interaction. @ellisinstitute.fi, @ellis.eu, fcai.fi, @aifunmcr.bsky.social
@shlevanto.bsky.social
|| Psychologist, Advisor, Work Ability Management and Mental Health || PhD student at University of Helsinki
@larsdingeldein.bsky.social
I am a PhD candidate at the Frankfurt Institute for Advanced Studies, working on simulation-based inference in biophysics.
@juand-r.bsky.social
CS PhD student at UT Austin in #NLP Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models! Other interests: math, philosophy, cinema https://www.juandiego-rodriguez.com/
@lennartpurucker.bsky.social
PhD student sup. by Frank Hutter; researching automated machine learning and foundation models for (small) tabular data! Website: https://ml.informatik.uni-freiburg.de/profile/purucker/
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@blackhc.bsky.social
My opinions only here. 👨🔬 RS DeepMind Past: 👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y 🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM 👤 @nwspk
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@eringrant.bsky.social
Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @eringrant@sigmoid.social, twitter.com/ermgrant @ermgrant
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@alexalemi.bsky.social
Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
@aaronschein.bsky.social
Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Doing: Probabilistic ML | probabilistic circuits | (Bayesian) deep learning | Bayesian stats https://trappmartin.github.io/
@sebfar.bsky.social
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@lisaschut.bsky.social
phd student at university of Oxford 🌾 prev: visited the cocosci lab, google brain, deepmind 🐙
@brunokm.bsky.social
PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
@jamesallingham.bsky.social
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
@kstensbo.bsky.social
Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.
@dan-kowal.bsky.social
Associate Professor of Statistics and Data Science at Cornell University. https://www.danielrkowal.com/
@sperez-vieites.bsky.social
Postdoctoral researcher at Aalto University and FCAI, Helsinki 🇫🇮 Previously in Edinburgh, Lille and Madrid. Working on Bayesian inference for state-space models, and Bayesian experimental design. https://sarapv.github.io/
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@nelsontang.com
Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer. I blog (throw bricks into the wind) @ www.nelsontang.com
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@rdeheide.bsky.social
Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
@javaloyml.bsky.social
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia. 🌐 adrianjav.github.io