We are the VIA Lab (Visualization and Intelligence Augmentation) at
UC Davis.
Chasing “big data, intelligent algorithms, and intuitive interfaces”,
we build visualization-empowered human-AI teaming systems to augment human intelligence,
Our goal is to make the data-to-decision process not only
accurate and
efficient, but also
accessible,
understandable, and
acceptable to users.
News
We are recuirting multiple fully-funded PhD students
who share our passion for pushing the boundaries of Visualization, Human-Centered AI, and Data Science.
Visit our Prospective Students page for details!
People
Current Lab Members
Current Student and Postdoc Collaborators
- Sam Yute Lee , PhD, Computer Science, UC Davis
- Yiran Li , PhD, Computer Science, UC Davis
- Hsiao-Ying Lu , PhD, Computer Science, UC Davis
- Yuya Kawakami , PhD, Computer Science, UC Davis
- Alexandera Zytek , PhD, Electrical Engineering and Computer Science, MIT
- Sarah Alnegheimish , PhD, Electrical Engineering and Computer Science, MIT
- Sara Pidò , Postdoc, MIT
- Yifang Wang , Postdoc, Northwestern University
- Rui Sheng , PhD, Computer Science and Engineering, HKUST
- Haobo Li , PhD, Computer Science and Engineering, HKUST
- Yue Yu , MPhil, Computer Science and Engineering, HKUST
Alumni
- Yinkui Tang , March 2024 - June 2024, CS Undergrad, UC Davis; Now MS at UIUC
- Boquan Fang , March 2024 - June 2024, CS Undergrad, UC Davis; Now at AWS
- Jiang Wu , November 2023 - April 2024, Visiting PhD, Zhejiang University; Now at Hithink RoyalFlush Information Network
CS Undergraduate Capstone Projects (ECS 193):
- Catherine Kang, Jacob Vogt, Hangyul Yun, Mihika Krishna : Climage Changes and Bird Migration Data Analytics, 2024
- Jose Gavidia, Billy Ouattara, Seungeui Song, Roger Cheng : AI Cartoons Generator, 2024 (news image)
Our Sponsors
About Curiosity:
"The important thing is not to stop questioning. Curiosity has its own reason for existing. One cannot help but be in awe when he contemplates the mysteries of eternity, of life, of the marvelous structure of reality. It is enough if one tries merely to comprehend a little of this mystery every day."
— Albert Einstein
