Georgia Institute of Technology

Member of Technical Staff at OpenAI focused on accelerating biomedical intelligence. He was previously a Research Scientist at Google DeepMind.

Chinmay Hegde is an associate professor at the NYU Tandon School of Engineering. His public homepage and NYU faculty profile say he works on machine learning, optimization, and inverse problems, joined NYU in 2021 after three years at Iowa State University, previously completed a postdoc at Stanford University, and earned a PhD in electrical and computer engineering from Georgia Tech in 2016.

Public profiles say he completed a Georgia Tech PhD in 2025 after earlier study at Rice and USTC, and his current work focuses on bringing frontier AI to everyday devices.

Chris Alberti's Google Research profile lists natural language processing and speech processing as his research areas, and his OpenReview profile lists him as a researcher at Google.

Nan Du works on large language models, mixture-of-experts methods, few-shot learning, and natural language processing. Her public OpenReview profile lists Apple AIML as her current affiliation and Google Brain as an earlier role.

David Heineman works on the OLMo project at Ai2 and says he previously completed his undergraduate studies at Georgia Tech.

Alexander Bukharin is an applied research scientist at NVIDIA working on large language models, with public NVIDIA materials highlighting reinforcement learning and model robustness.

Khaled Saab

Chinmay Hegde

Yonggan Fu

Chris Alberti

Nan Du

David Heineman

Alexander Bukharin