Assistant Professor @HopkinsMedicine @JHUPath
https://scholar.google.com/citations?user=dGBD72YAAAAJ
Applied Scientist Intern @ Amazon | Community lead @ Cohere For AI | Prev MPI-INF, CISPA, Media Lab.
I work on systems and algorithms for efficient training/inference of large scale machine learning models.
Robustness, Data & Annotations, Evaluation & Interpretability in LLMs
http://mimansajaiswal.github.io/
Professor of Molecular Medicine at the University of California, Los Angeles.
Systems Genetics | Cardiovascular Disease | Smooth Muscle Cells | Obesity | Adipose Tissue | FAHA | FAIMBE| he/him | 🌈| https://civeleklab.org
Assistant Professor NUS. Infectious diseases, virus evolution, AI for Public Good, Human Behaviour and Bayesian Inference
Data and Human Scientist @EA ▪️Productive time modeling Video Game Behavior 🎮🕹️▪️Moonlight as ⚾️🏈🏒analyst ▪️PhD @UCD studied evolution of peer relationships ▪️Mostly dad-ing; garden more than I thought I would at 18. #bayesian #causalinference #games
CS Prof at UC Irvine, CTO/Cofounder at Envive AI
Work on evaluation and robustness of LLMs
CS PhD candidate @UCLA | Prev. Research Intern @MSFTResearch, Applied Scientist Intern @AWS | LLM post-training, multi-modal learning
https://yihedeng9.github.io
PhD student @ UW & visiting researcher @ MetaAI.
Previously Google Brain resident & Stanford'19.
Curating better training data for language & multimodal models.
https://thaonguyen19.github.io/
Ph.D. @WisconsinCS @WIDiscovery | Previously BS/MS @uwcse, @Meta @Google
Research: AI for Creativity, Active Learning, Data Efficient Learning (jifanz.github.io)
Director of the Center for the Advancement of Progress
Ph.D. Student @UW, @WAIL. Data centric Machine learning, NVIDIA, Prev: Amazon. B.Tech - IIT Delhi. Into photography, and alpinism.
https://sites.google.com/view/gbhatt/
PhD student in machine learning at TU Wien.
learning theory | graphs
https://maxthiessen.github.io
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery)
Researcher @valenceai.bsky.social
Details: austintripp.ca
machine learning asst prof at @cs.ubc.ca and amii
statistical testing, kernels, learning theory, graphs, active learning…
she/her, 🏳️⚧️, @queerinai.com
PhD Candidate @ Leipzig University. Active Learning, Text Classification and LLMs. Check out my active learning library: small-text. #NLP #NLProc #ActiveLearning #LLM #ML #AI
PhD @ MIT. Prev: Google Deepmind, Apple, Stanford. 🇨🇦 Interests: AI/ML/NLP, Data-centric AI, transparency & societal impact
PhD @ King’s College London • prev CambridgeNLP, TU Wien, intern GoogleDeepmind • NLP, Data-centric ML, Multimodality
http://mubasharaakhtar.com
