Toronto Data Workshop (TDW) brings together academia and industry to share data science best practice. TDW is a joint initiative between the Faculty of Information and the Department of Statistical Sciences and is organized by Assistant Professor Rohan Alexander, Professor Kelly Lyons and MI student Michaela Drouillard. All workshops are held virtually on Zoom and are free to attend. Everyone is welcome. Sign up to receive weekly invitations to Toronto Data Workshops and visit Professor Rohan Alexander’s website for full event details.
LiveCodeBench: Holistic and contamination free evaluation of large language models for code
Naman Jain, UC Berkeley
Naman Jain is a CS Ph.D. student at UC Berkeley, focusing on using machine learning to enhance developer productivity tools like program analysis, synthesis, and repair. He also explores how synthesis and verification can improve algorithm generalizability and explainability. He holds an undergraduate degree from IIT Bombay, where he researched NLP robustness and computer vision. Before his Ph.D., he was a predoctoral research fellow at Microsoft Research India, working on program repair, improving large language models, and learning decision trees.