Work Experience

September 2024 - present

• Develop mathematical models to evaluate the cost-effectiveness and clinical outcomes of Metabolic dysfunction-associated steatohepatitis (MASH) with newly FDA-approved medication, Resmetirom, and to investigate its impact on liver transplant allocation strategy.

• Develop mathematical models to evaluate the cost-effectiveness of using wrist-worn wearable devices to screen atrial fibrillation (AFib).

• Design various screening strategies to investigate the impact of expanding the screening population given various novel AFib screening strategies with regards to patient's life expectancy.

July 2022 - July 2023

• Analyzed flight volume and census bureau data to identify and visualize risk levels of Ebola across U.S. zip codes, providing actionable insights for surveillance and intervention.

• Performed a cost-effectiveness analysis of mask mandates in public transportation using airborne transmissible disease models.

• Conducted a machine learning study in conjunction with statistical analyses to estimate disease under-reporting rates and adjusted prevalence level, improving data insights required for further modeling studies.

• Computational Data Analysis (ISYE 6740) - May 2021 to Aug 2021 

• Manufacturing Systems (ISYE 6201) - Jan 2021 to May 2021 

• Statistics and Applications (ISYE 3770) - Jan 2018 to Dec 2018 

May 2019 - Jan 2020

• Developed a discrete-time mixed-integer program optimizing the location of parcel carriers in a distribution center, thereby reducing their temporary staging time.

• Designed greedy heuristics with historical last-mile delivery data, resulting in a 10% enhancement of on-time delivery service levels.

May 2018 - Aug 2018

• Cooperated with AT&T and Microsoft to implement IoT (Internet of Things) tags on Coca-Cola products to gain visibility in supply chain 

• Developed a machine learning model for inventory forecasting, facilitating proactive management of potential shortages and predicting future demand.