About Me

I’m a 5th year Ph.D. candidate in the GRAphics & VIsualization sTudY (GRAVITY) research group at The Ohio State University, advised by Prof. Han-Wei Shen. I received B.S. in Computer Science and Engineering from OSU in 2021. My Ph.D. research focuses on machine learning for large-scale scientific data visualization.

My interest is generally in applying machine learning for solving practical problems, including content generation and insight extraction from data in diverse modalities (e.g. texts, images, videos, 3D volumes). Here is my recent CV.

Experience

• Graduate Research Associate, The Ohio State University
  [08/2023 - Present] Deep-learning-based preditive modeling for large-scale scientific data

• Research Aide, Argonne National Laboratory, advised by Dr. Tom Peterka
  [06/2023 - 08/2023] Uncertainty quantification of continuous data representation for scientific visualization

• Graduate Teaching Associate, The Ohio State University
  [01/2023 - 05/2023] CSE 5523: Machine Learning and Statistical Pattern Recognition
  [08/2022 - 12/2022] CSE 2111: Modeling and Problem Solving with Spreadsheets and Databases

• Distinguished University Fellowship, The Ohio State University
  [08/2021 - 07/2022; 08/2025 - 09/2026]

• Undergraduate Instructional Assistant, The Ohio State University
  [08/2020 - 12/2020] CSE 3521: Survey of Artificial Intelligence I: Basic Techniques
  [08/2019 - 12/2019] CSE 2421: Systems I: Introduction to Low-Level Programming and Computer Organization

Publications [Google Scholar]

Misc

I was involved in the student club Chinese Folk Music Orchestra at Ohio State as a Bamboo Flute player and the president in the 2022 academic year. CFMO actively performs traditional Chinese music ensembles around the Columbus area. Follow CFMO Facebook and Instragram for our life and activities.

Powered by Jekyll and Minimal Light theme.