Ting Chen
Columbia Stats PhD student, interested in Bayesian ML and optimization
@skainswo.bsky.social
prev: @BrownUniversity, @uwcse/@uw_wail phd, ex-@cruise, RS @waymo. 0.1x engineer, 10x friend. spondyloarthritis, cars ruin cities, open source
@emm5s.bsky.social
PhD candidate in the Dunn and Wysocka Labs at @stanfordmedicine.bsky.social | @Wellesley.edu ‘19 | (she/hers)
@satpreetsingh.bsky.social
Postdoc @harvard.edu @kempnerinstitute.bsky.social Homepage: http://satpreetsingh.github.io Twitter: https://x.com/tweetsatpreet
@ajdavison.bsky.social
From SLAM to Spatial AI; Professor of Robot Vision, Imperial College London; Director of the Dyson Robotics Lab; Co-Founder of Slamcore. FREng, FRS.
@fajtl.com
Research Scientist @Kingston University London | Computer Vision | Continual Learning | Scene Understanding | Multimodal Models | Open-Ended Learning
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@rebaudogiovanni.bsky.social
Assistant Professor of Statistics @economicsunito.bsky.social University of Torino and Collegio Carlo Alberto Affiliate. He/him.
@jmschreiber91.bsky.social
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.
@bimidu.bsky.social
computational biologist and statistician interested in how genes encode shape, form, and dynamics during development and regeneration; assistant professor @Columbia University https://www.morpho-lab.com/
@albertvilella.bsky.social
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, Compute Acceleration in biotech // http://albertvilella.substack.com
@uoft-tcairem.bsky.social
Transforming health through Artificial Intelligence. (Based at the University of Toronto's Temerty Faculty of Medicine.) Reposts are not endorsements.
@jeremybernste.in
🧪 pulp deep learning theory @ mit ✍️ anon feedback: http://admonymous.co/jxbz
@neuripsconf.bsky.social
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/
@toddmorrill.bsky.social
Computer Science PhD student at Columbia University interested in NeuroAI 🧠🤖
@yann-lecun.bsky.social
Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com
@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
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@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
@docmilanfar.bsky.social
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@alextokolyi.bsky.social
Postdoc in medical genomics at the New York Genome Center. alextokolyi.com
@seichang.bsky.social
Computer Science PhD candidate at Columbia University. Interested in applying deep learning to functional genomics. NSF GRFP Fellow
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@laurenceai.bsky.social
Lecturer at the University of Bristol. probabilistic ML, optimisation, interpretability, LLM evals.
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/
@charlesm993.bsky.social
Research fellow at the Flatiron Institute and Stan developer. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
@saxelab.bsky.social
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@kristinaulicna.bsky.social
Research Scientist 👩💻 at @valenceai.bsky.social 🧬🧪, powered by @recursionpharma.bsky.social 🔬🤖 | Bringing @mila-quebec.bsky.social spirit from Montréal 🇨🇦🍁 to our new London office 🇬🇧 | Enthusiastic "singlecellologist" 👩🔬🧫 into #AI & 🐍💻
@benburtenshaw.bsky.social
Building tools for AI datasets. 😽 Looking in AI datasets. 🙀 Sharing clean open AI datasets. 😻 at https://bsky.app/profile/hf.co
@soumithchintala.bsky.social
Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source. http://soumith.ch
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@cianeastwood.bsky.social
Senior Research Scientist at Valence Labs. Generative modeling (causal, multimodal) and generalisation for scientific discovery. PhD in ML from UofEdinburgh and MPI-IS, with time at Google DeepMind, Meta AI and Spotify. 📍London 🔗 cianeastwood.github.io
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@aloxatel.bsky.social
cognition, computation, language 🧠 & bikes! 🚲 phd student @ brown university prev: postbac @ mit brain+cog (he) https://aalok-sathe.github.io
@yoavgo.bsky.social