Schmidt AI in Science Postdoctoral Fellow, Aug 2024 - present
University of Michigan, Michigan Institute for Data & AI in Society
Mentors: Dr. Yafeng Yin and Dr. Vijay G. Subramanian
Doctor of Philosophy in Operations Research, Aug 2024
Georgia Tech, H. Milton Stewart School of Industrial and Systems Engineering (ISyE), Atlanta, GA
Successful completion of Ph.D. Comprehensive Exams in OR in September 2019.
Minor in Transportation Systems and Engineering.
Thesis advisor: Dr. Anton J. Kleywegt.
Bachelor of Engineering (Engineering Systems and Design), Sep 2018
Singapore University of Technology and Design (SUTD), Singapore
Focus Tracks: Business Analytics, Economics and Operations Research.
Honor: Summa Cum Laude.
Visiting Student at Stanford International Honors Program, Jun 2016 - Aug 2016
Stanford University, Stanford, CA
Stanford and SUTD Global Leadership Program Scholarship recipient.
Amazon.com Services LLC, Seattle, WA, May - Aug 2020
Position: Research Scientist Intern
Designed an advanced fulfilling model with a novel Direct-to-Sort-Center process to improve the multi-echelon system.
Formulated a mixed integer linear program, developed and implemented solution algorithms in Python, queried data with SQL, and produced numerical results with up to 70% reduction in shipping delays at low or no additional cost.
Provided entitlement calculation and policy suggestions to the management and advocated for prototypes.
Agency for Science, Technology and Research (A*STAR), Singapore, Jan - Aug 2018
Position: Student Researcher
Designed a novel framework to semantically represent human behaviors from multi-modal data, using computer vision and natural language processing techniques.
Obtained state-of-the-art classification accuracies on behavior analysis subtasks and developed an automatic content-based tag generation.
Nominated for SUTD Capstone (Final Year Project) Award.
SAP Innovation Center Singapore, Singapore, May - Aug 2017
Position: Research Intern in Data Science
Proposed a generative Question-Answering system with 80% accuracy on semantically matching 10,000 pairs of data.
Collaborated with a multifunctional team under an Agile development system, performed multimodal data analysis with Python and Microsoft Office, and developed value-adding solutions for client projects.
Received travel award for poster presentation at Women in Machine Learning (WiML) Workshop 2017.