Yudai Tanaka

Yudai Tanaka is a Ph.D. candidate in the Department of Computer Science at the University of Chicago, researching Human-Computer Interaction (HCI). He focuses on developing computer interfaces that directly interact with users' nervous systems and brains, advancing hardware-free haptic interaction technologies, and exploring novel interaction experiences through brain-perceived feedback. His research has been published at top academic conferences such as ACM CHI and UIST, earning accolades including the CHI 2023 Best Paper Award, honorable mentions at CHI 2024 and UIST 2024, and the CHI 2022 Best Demonstration Award. His work has been featured by media outlets like IEEE Spectrum and New Scientist and has received the 2025 Google North America Ph.D. Fellowship and the 2026 Siebel Scholars Award. His research aims to enhance human capabilities and accelerate skill acquisition through innovative interaction technologies, with potential applications in medical rehabilitation, immersive gaming, skill training, and assistive technologies.

• 2025 – Present·Google North America Ph.D. Fellowship Recipient·Researcher
  • Dedicated to developing computer interfaces that directly interact with the nervous system, driving advancements in Human-Computer Interaction.
• 2026·Siebel Scholars Award Recipient
  • As a member of the Department of Computer Science at the University of Chicago, explored innovative computer interaction technologies and promoted interdisciplinary research.

• 2019 – Present·University of Chicago·Ph.D. Candidate
  • Specialized in Human-Computer Interaction technologies, focusing on haptic feedback and neural engineering.
• Undergraduate Studies | Details not provided