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.
• 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

• Rackham International Student Fellowship, 2023

• 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

• 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.