Scholar
Tu Vu
Google Scholar ID: tOevwEEAAAAJ
Research Scientist, Google DeepMind; Assistant Professor, Virginia Tech
Citations & Impact
Citations
9,539
H-index
20
i10-index
21
Publications
20
Co-authors
73
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, such as a paper on efficient model development at EMNLP 2025 and a paper on model merging at scale at TMLR 2025; received the Amazon - VT faculty research award, research gift awards from Google DeepMind and Google Research, etc.
Research Experience
- Worked as a Research Scientist at Google DeepMind for one year before joining Virginia Tech.
Education
- PhD in Computer Science from the University of Massachusetts Amherst, advised by Mohit Iyyer.
Background
- Research interests include deep thinking, agentic memory and context engineering, efficient transfer and adaptation, and efficient model updating. An Assistant Professor at Virginia Tech and a Faculty Researcher at Google. Previously, a Research Scientist at Google DeepMind.
Miscellany
- Plans to recruit one new PhD student every year and is open to collaborating with current VT undergraduate and master's students who have at least one full academic year until graduation.
