Michelle S. Lam

Michelle S. Lam is a PhD candidate at Stanford University, specializing in human-computer interaction and human control of artificial intelligence. Her research employs innovative system designs to optimize the interaction between AI and users, enabling AI to better adapt to users' dynamic goals. Her work includes published papers at top-tier academic conferences and has received awards such as Best Paper at CHI and CSCW, along with other academic accolades. Her primary interests lie in HCI, user-controllable AI, and social computing, with a focus on leveraging technology and design to address societal challenges.

• Summer 2024·Apple AIML Visualization Team·Research Intern
  • Conducted research at Apple AIML, focusing on visualization technologies for artificial intelligence and machine learning.

• 2017–Present·Stanford University·PhD Candidate
  • Focus Area: Human-Computer Interaction and Artificial Intelligence
  • Advisors: Professor Michael Bernstein and Professor James Landay

• Rising Star in EECS
• Stanford Interdisciplinary Graduate Fellow
• Siebel Scholar
• CHI 2022 Best Paper Award
• CSCW 2024 Best Paper and Impact Recognition Award