Information and updates about RLC 2025 at the University of Alberta from Aug. 5th to 8th!
https://rl-conference.cc
PhD student @Yale • Applied Scientist @AWS AI • Automated Reasoning • Neuro-Symbolic AI • Alignment • Security & Privacy • Views my own • https://ferhat.ai
Professor of Computer Science at Cambridge.
http://timvieira.github.io/blog
Head of R&D @Kensho and lecturer at @MIT, teaching NLP and ML. Enjoys challenging #hikes ⛰ and #woodworking 🌲 Prev: @Harvard, @BrownCSDept, @MITLL
PhD candidate in NLP at Utrecht University | Accounting for language variation in ML/NLP | Style Measurement | Tokenizers | Paraphrases | she/her
https://annawegmann.github.io/
Interested in ML, AI, and NLP. Particularly interested in tokenization. Live in the Boston area and work at Kensho Technologies.
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
Research Scientist @ IBM Research, Cambridge (MA), US
Researcher @IBMResearch @MITIBMLab #GraphLearning #LLMs
PhD student@GA Tech; Research Engineer @IBM Research. Thinking about Associative Memory, Hopfield Networks, and AI.
Research manager. Statistical Large Language Modeling, MIT-IBM AI Lab, IBM Research. Stats PhD @UMich.
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
I wrote a book.
Free pdf: http://trustworthymachinelearning.com
Paperback: http://amazon.com/dp/B09SL5GPCD
Posts are my own and don't necessarily represent IBM.
Assistant Professor of @utexasece, UT Austin. Cal and UT Austin alum.
I like Computational MRI, signal processing, nature, and movies (among other things)
www.jtsense.com
