Ph.Suignard
Ingénieur Chercheur Expert chez EDF R&D
NLP, IA, LLM, Data, Réseaux Sociaux, Energie
https://www.linkedin.com/in/philippe-suignard-06829518/
@jamesallingham.bsky.social
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
@dan-kowal.bsky.social
Associate Professor of Statistics and Data Science at Cornell University. https://www.danielrkowal.com/
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@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” 🦮
@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
@sigmabayesian.bsky.social
Visiting Researcher @NYU Courant, CILVR. PhD student @TU Denmark, MLLS(https://mlls.dk). Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents. Previously intern @SonyAI in deep generative modelling. web: http://uppalanshuk.github.io
@gandry.bsky.social
PhD student @universitedeliege.bsky.social with @glouppe.bsky.social. @frsFNRS research fellow. Focuses on AI for scientific discoveries 🤖
@ayushbharti.bsky.social
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence. Website: http://bharti-ayush.github.io
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@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
@dvinnie.bsky.social
Researcher at Google DeepMind in London. Previously PhD at Cambridge University.
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
@danklotz.bsky.social
Professional Stumbler. Shenanigans with Earth Science & Machine Learning Visiting researcher at google & assistant prof at it:u (at)
@dfm.io
Retired computational astrophysicist Working on JAX at Google DeepMind Editor at The Journal of Open Source Software (he/him) https://dfm.io // https://github.com/dfm
@eviatarbach.bsky.social
Lecturer (Asst. Prof.) @ University of Reading in meteorology and math. & stats | Data assimilation, climate, ML, applied dynamical systems, predictability, inverse problems https://eviatarbach.com
@sebastian-uribe.bsky.social
Book Author - AI for Science Senior AI PM @HelloBetter Open-ended scientific discovery Animal rights activist
@johnboik.bsky.social
PhD research fellow at Active Inference Institute, data science, cognitive science, probabilistic models, Julia, Montana regenerative hobby farmer, author of Economic Direct Democracy: A Framework to End Poverty and Maximize Well-Being. #wellbeingeconomy
@samblouir.bsky.social
Thanks for coming to “Foundation Models for Biological Discoveries” (FMs4Bio) @ AAAI 2025!
@lukasgruber.bsky.social
Ph.D. Student @ ELLIS Unit / University Linz Institute for Machine Learning
@nandofioretto.bsky.social
Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io
@jobrandstetter.bsky.social
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
@tkrusch.bsky.social
AI postdoc @ MIT CSAIL PhD @ ETH Zurich https://konstantinrusch.com/
@chatgtp.bsky.social
Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. EPFL alumnus.
@elseml.bsky.social
💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
@vagar.bsky.social
Head of mRNA Platform Design Data Science @Sanofi (https://www.linkedin.com/in/vagarwal87). R&D in mRNA therapeutics using ML/DL. Formerly @ UTAustin, MIT, MSFTResearch, UW, & Calico. Latest work: gScholar (https://tinyurl.com/3xdfksy6)
@mandanas.bsky.social
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup. Doing research on AI and Neuroscience 🤖🧠 Based in Montreal. 🇨🇦
@jdijkman.bsky.social
Infusing statistical physics with machine learning to describe molecular fluids. PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
@mayrandreas.bsky.social
Postdoctoral Senior Scientist working at Johannes Kepler University Linz (Austria) Some other profiles: https://scholar.google.com/citations?user=3-Iw0tgAAAAJ&hl=de https://at.linkedin.com/in/andreas-mayr-48479664
@sidneygjwong.bsky.social
黃吉贊 ~ Queer Cantonese advocate from Aotearoa & PhD researcher @ Canterbury, NZ. he/any Computational Sociolinguist. Place ~ Identity ~ Language. Fulbright 24/25 @ Champaign-Urbana, IL. Views my own. https://linktr.ee/sidneygjwong
@natalieshapira.bsky.social
Tell me about challenges, the unbelievable, the human mind and artificial intelligence, thoughts, social life, family life, science and philosophy.
@jhartford.bsky.social
DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦
@btoader.com
Applied mathematician developing computational imaging tools #CryoET #TeamTomo Postdoc in Scheres & Bharat labs @ MRC Laboratory of Molecular Biology, Cambridge btoader.com
@scotthosking.bsky.social
Mission Director for Environment Forecasting, The Alan Turing Institute | Science Leader for AI, @bas.ac.uk | He/Him scotthosking.com
@jakhmack.bsky.social
#AI4Science #CompNeuro #NeuroAI #SBI www.mackelab.org @mackelab.bsky.social · Prof Uni Tuebingen ML4Science BCCN tue.ai · Adjunct MPI IS · Fellow ellis.eu · currently hiring postdocs and PhD students · sometimes goes for a run
@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
@ml4science.bsky.social
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
@sebastianlerch.bsky.social
Junior research group leader at the Karlsruhe Institute of Technology, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
@arinbjorn.is
Visiting Postdoc Scholar @UVA Previously: PhD Imperial, Evidation Health, Samsung AI Researching core ML methods as well as computational/statistical methods in biomedicine, health and law arinbjorn.is 📍Switzerland
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@samillingworth.com
Professor of Creative Pedagogies | Poet | Game Designer | Bridging creativity and communities through poetry, games, and GenAI. #SciComm #HigherEd #Poetry https://linktr.ee/sam.illingworth
@roxanadaneshjou.bsky.social
Assistant professor of biomedical data science and dermatology at Stanford. AI for healthcare. Associate editor at NEJM AI and the Journal of Investigative Dermatology. Mother of a sassy girl and a baby boy.
@yuzheyang.bsky.social
Assistant Professor @UCLA | Scientist @Google | PhD @MIT | BS @PKU #ML, #AI, #health, #medicine https://people.csail.mit.edu/yuzhe/
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@kkt.bsky.social
Postdoc at Stanford. Previously PhD student at Berkeley AI research. Trying to understand proteins with microfluidics and machine learning. www.karlk.net
@nishantharun.bsky.social
PhD candidate @CarnegieMellon / ex @MartinosCenter interested in bridging the gap between machine learning academia and clinical practice; uncertainty quantification / explainable AI
@hplisiecki.bsky.social
Exploring the latent space of human experience. Here to meet cool people and share my findings. Follow to see cool NLP papers #Psychology #AI #OpenScience #NLP
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF