I'm a sixth-year Ph.D. candidate in Information Systems at the University of Maryland, Robert H. Smith School of Business. My advisor is Kunpeng Zhang. My research focuses on developing and applying deep learning methods to infer consumer behavior and make better business decisions from unstructured data.  I'm especially interested in computer vision and multimodal learning. 

Fields

• Major
  Information Systems

• Minor
  Deep Learning

Research Interests

• Computer Vision

• Multimodal Representation Learning

• Consumer Behavior Inference

Awards and Grants

• Outstanding Research Assistant Award, University of Maryland, 2023-2024

• Student Travel Award, IEEE Big Data 2023, $800

• FDA-CERSI Fellowship, 2023-2024

• University Assistantship, 2019-2023

• Student Scholarship, INFORMS Workshop on Data Science, 2023

• Jacob K. Goldhaber Travel Grant Award, University of Maryland, 2023

• Best Student Paper Runner-Up Award, WITS 2022, $500

• Outstanding Research Assistant Award, University of Maryland, 2021-2022

• Faculty-Student Research Award (FSRA), University of Maryland, 2021-2022, $10000

• Master of Quantitative Finance Merit Scholarship, Rutgers Business School, 2016 - 2017

 Academic Services

• Ad-hoc Reviewers

  • Conference on Knowledge Discovery and Data Mining (KDD), 2022

  • Workshop on Information Technologies and Systems (WITS), 2022

  • International Conference on Information Systems (ICIS), 2020, 2021, 2023

  • Annual Meeting of the Association for Computational Linguistics (ACL), 2020, 2023

  • Conference on Information Systems and Technology (CIST), 2023

  • Pacific-Asia Conference on Information Systems (PACIS), 2024

Work Experience