Mitchell L. Gordon

Mitchell L. Gordon is an incoming Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT), starting Fall 2025, and currently a researcher at OpenAI. He completed his PhD in Computer Science at Stanford University under advisors Michael Bernstein and James Landay.

His educational background includes:

• PhD in Computer Science, Stanford University (HCI group)

Gordon's research pioneers human-centered machine learning through interactive system design and evaluation frameworks that reconcile HCI principles with ML practicalities. His work specifically targets human-AI collaboration mechanisms, dissent integration in model training, and perceptual assessment of generative outputs, emphasizing real-world applicability and ethical considerations.

Analysis of his publications reveals consistent innovation at the HCI-ML intersection, with growing emphasis on evaluation robustness—from disagreement-aware metrics to perceptual human studies—demonstrating how human perspectives fundamentally reshape ML development and assessment paradigms.

His scientific impact is recognized through prestigious awards:

• Best Paper Award at CHI 2022 (top 1% of submissions) for Jury Learning framework
• Oral Presentation at NeurIPS 2019 (top 0.5%) for HYPE perceptual evaluation system
• Apple PhD Fellowship in AI/ML supporting doctoral research

Funding and professional development were advanced through the Apple PhD Fellowship alongside strategic industry internships at Apple, Google, and CMU HCII, enabling cross-sector validation of his methodologies. His research originates from Stanford's HCI group and will transition to MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), where he will establish new collaborative frameworks for human-centered AI development.