Here are my full CV and resume.
Education
- PhD in Statistics, University of Michigan, 2026 (expected)
- Current GPA: 4.00/4.00
- Received the Rackham International Student Fellowship for demonstrating exceptional academic and professional promise.
- Received one of the International Biometric Society Eastern North American Region’s Distinguished Student Paper Awards.
- MS in Data Science, Columbia University, 2020
- GPA: 4.00/4.00
- BS (Honours) in Applied Mathematics and Statistics, National University of Singapore, 2019
- GPA: 4.90/5.00
- Received the Ho Family Prize as the best student in Applied Mathematics.
- Completed the Special Programme in Mathematics, a program specially designed for students with a strong passion and aptitude for mathematics.
Work Experience
- PhD Software Engineer Intern (Rider Structural Pricing), Uber, May 2024 - Aug 2024
- Applied causal inference techniques to analyze the paycheck effect and its impact on demand and price elasticity.
- Enhanced Uber’s demand model by adding paycheck features, improving predictive performance and business metrics.
- Implemented and refined large language model-based data augmentation methods, achieving notable improvements in test AUC and accuracy based on experiments conducted on Uber’s demand data.
- Junior Data Scientist (Fraud), Walmart, Feb 2021 - Jun 2021
- Improved fraud detection system via model stacking and feature engineering, reducing financial losses by around 30%.
- Data Science Intern (Pricing), Walmart, Jun 2020 - Aug 2020
- Developed item-scoring algorithms to inform strategic price investment decisions for each Sam’s Club.
- Adapted and implemented natural language processing algorithms to improve item elasticity predictions.
- Data Science Intern, Portcast, May 2018 - Aug 2018
- Devised methods to improve existing cargo demand forecasting models of leading shipping companies.
- Enhanced forecasting accuracy via market signal experimentation, reducing mean absolute percentage errors by 5 to 15%.
- Research Intern, Centre for Social Development Asia, May 2017 - Aug 2017
- Collaborated with a multidisciplinary team of undergraduate students to analyze the state of charity governance in Singapore, resulting in the publication An Overview of Charity Governance in Singapore.
- Data Analyst Intern, Traveloka, May 2016 - Jul 2016
- Developed dashboards to summarize the effectiveness of organic searches in generating hotel sales.
Awards and Honors
International Biometric Society Eastern North American Region’s Distinguished Student Paper Awards, 2024.
Top 1.5% in Baidu and Xi’an Jiaotong University International Big Data Competition, 2020
3rd Prize in Columbia University Data Science Hackathon, 2019
Ho Family Prize for being the best graduate in Applied Mathematics, 2019
Top 250 in William Lowell Putnam Mathematical Competition, 2017
8th Place in Virginia Tech Regional Mathematics Contest, 2017
Singapore Ministry of Foreign Affairs’ Undergraduate Scholarship, 2015
Silver Medal in Asian Pacific Mathematics Olympiad, 2013 and 2014
Bronze Medal in International Mathematical Olympiad, 2013
Satyalancana Wira Karya Presidential Award
Presentations and Posters
Neural Information Processing Systems (NeurIPS), Vancouver, BC, Canada, 2024.
Joint Statistical Meetings, Portland, OR, USA, 2024.
Michigan Student Symposium for Interdisciplinary Statistical Sciences, Ann Arbor, MI, USA, 2024.
Midwest Speech and Language Days, Ann Arbor, MI, USA, 2024.
NeurIPS Workshop on Mathematics of Modern Maching Learning, New Orleans, LA, USA, 2023.
Joint Statistical Meetings, Toronto, ON, Canada, 2023.
Michael Woodroofe Memorial Conference, Ann Arbor, MI, USA, 2023.
Uncertainty in Artificial Intelligence (UAI), Pittsburgh, PA, USA, 2023.
ICSA Applied Statistics Symposium, Ann Arbor, MI, USA, 2023.
Midwest Machine Learning Symposium, Chicago, IL, USA, 2023.
Service
- Reviewer
- Cities, 2024.
- Neural Information Processing Systems (NeurIPS), 2024.
- ICML Workshop on In-Context Learning, 2024.
- ICML Workshop on Theoretical Foundations of Foundation Models, 2024.
- Artificial Intelligence and Statistics (AISTATS), 2023 - 2024.
- Volunteer
- Neural Information Processing Systems (NeurIPS), 2023.
- ICSA Applied Statistics Symposium, 2023.
Leadership Experience
Project Director, PERMIAS Michigan, 2021 - 2022.
Student Ambassador and Mentor, Columbia Data Science Institute, 2020.
Assistant Vice President of Training and Development, Columbia Indonesian Society, 2019 - 2020.
President, NUS Angklung Ensemble, 2016 - 2017.
Treasurer and Mentor, NUS-British Petroleum Mentoring, 2015 - 2017.