Jianan Nie
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Ph.D. Student |
About me
I am a Ph.D. student in the Department of Computer Science at Virginia Tech, advised by Dr. Peng Gao.
My research interest lies in AI for Science, specifically in the field of Chemistry and Material, which includes molecule/material design, structure prediction, property prediction, autonomous discovery and generation.
Honors and Awards
IEEE S&P Student Travel Grant (top tier conference), 2023
CCI SWVA Cyber Innovation Scholarship, 2023
VT Department Travel Grant, 2023
Outstanding Graduate, 2022
KAUST Scholarship, 2022, 2021
SUSTech Academic Scholarship, 2021, 2020, 2019
National Program of Undergraduate Innovation and Entrepreneurship, 2021
Second Prize of Guangdong University Student Art Exhibition, 2021
Advanced Individual Award of SUSTech Volunteer Association, 2020
Industry Experience
Intern at Microsoft Research Asia AI for Science in Beijing, 2024/05 - 2024/08
Professional Services
Reviewer, AI4Mat-NeurIPS, 2024
External Reviewer, ACM Conference on Computer and Communications Security, 2023
Teaching Experience
Teaching Assistant, Virginia Tech, CS-4824 Machine Learning, 2024
Teaching Assistant, Virginia Tech, CS-4804 Introduction to Artificial Intelligence, 2023
Education
Ph.D. in Computer Science, Virginia Tech, 2023 - Present (Advisor, Dr. Peng Gao)
M.S. in Chemistry from King Abdullah University of Science and Technology, 2021-2023
B.S. in Chemical Science from Southern University of Science and Technology, 2018-2022