Courses developed and taught:• DTSC6010001 Bayesian Data Analysis• ISYE6244011 Network Flow in Transportation and Logistics• ISYE6242011 Decision Making Under UncertaintyAlso teach:• STAT6205020 Introduction to Statistical Programming

Leading data and research initiatives.

Worked on the projects at the Health Systems Engineering Lab to:• propose optimization strategies to improve sepsis-related mortality prediction• develop a tree-based optimized scoring system for sepsis-related mortality prediction• quantify the impact of diabetes complications on COVID-19 severe outcomes • examine the medical surge during the COVID-19 pandemic• examine law-enforcement drug seizures' impact on crime and overdose mortality

Co-designed and taught undergraduate-level courses in the Department of Statistics:• Operations Research• Data Mining• Computational Statistics• Simulation Techniques• Stochastic Processes

Main projects:• Developed a framework to detect abnormal debit card transactions for an Indonesian private bank• Developed statistical models to infer individual poverty level in Indonesia based on human mobility signatures and demographic characteristics extracted from debit card transactions data• Performed statistical analyses to examine customer journey of Cambodian microlending institutions and understand women’s financial inclusion in CambodiaOther projects:• Developed a framework to infer official commuting statistics from Twitter locational information in Jakarta, Indonesia• Performed analyses to understand relationships of call detailed record metrics and development indicators in Vanuatu• Performed analyses to understand the demand and uses of bus rapid transit system in Jakarta, Indonesia

• Co-designed randomized controlled trials to examine business and financial practices of micro- and small-retailers in Jakarta, Indonesia• Performed data analyses to gain insights on business and financial practices of micro- and small-retailers in Jakarta, Indonesia

• Designed and led the experiments to evaluate two education projects in East Nusa Tenggara, Indonesia• Performed statistical analyses to understand the effectiveness of treatments and how the treatments impact education performance in East Nusa Tenggara, Indonesia

Developed statistical models to validate one of the French nutrient profiling systems based on French Nutrition and Health Survey.This internship was done at UMR NORT, a collaborative research unit of INRA, INSERM, and Aix-Marseille University. NORT : Nutrition, Obesity and Risk of Thrombosis, INRA : Institut National de la Recherche Agronomique (National Agricultural Research Institute), INSERM : Institut National de la Santé et de la Recherche Médicale (National Health and Medical Research Institute).

Assisted lab activities and graded the homeworks/exams for undergraduate-level courses in the Department of Statistics:• Introduction to Statistical Methods• Simulation Techniques