NSU AI: From Dhaka to World-Class AI Research — Fireside with Fahim Tajwar

​What does it take to go from Bangladesh to publishing at the frontier of AI research?

​🎙️ Fahim Tajwar is a PhD student at Carnegie Mellon University's Machine Learning Department, co-advised by Ruslan Salakhutdinov and Jeff Schneider. Before CMU — BS in Mathematics (with distinction) and MS in Computer Science at Stanford, supervised by Chelsea Finn.

​🔬 His recent work: → MaxRL — has been making waves in the ML community, Pareto-dominating GRPO for training LLMs on math reasoning with up to 20x efficiency gains (preprint, 2026) → PAPRIKA — training generally curious agents (ICML 2025, Oral) → Self-Rewarding Training — RL without ground truth answers → Published at NeurIPS, ICML, ICLR, TMLR, PNAS

​🎤 Hosted by Ismail Hossain (NSU, TMLR-published researcher)

​💻 This is an online event — join from anywhere.

​Fireside chat + open Q&A. Come curious, bring questions 👇