Experience

Lark Health

• United States
• Hospitals and Health Care
• 100 - 200 Employee

• Data Scientist II

  • Jul 2023 - Present

• Data Scientist

  • Mar 2022 - Jul 2023

• Business Intelligence Analyst

  • Dec 2020 - Mar 2022

  Lark Health delivers chronic diseases prevention and management programs at scale using AI-driven health coaching.• Drove analytics and defined user engagement and outcome metrics as a main contributor for ~20 partner quarterly business reports.• Create dashboards from ideation to launch for BI, Product and Data Science initiatives.• Regularly investigate issues regarding unexpected trends in user behavior or missing data.



Stanford Children's Health | Lucile Packard Children's Hospital Stanford

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Research Analyst

  • Jan 2020 - Jun 2020

  • Developed a surgical demand forecasting model to project utilization in operating rooms. • Designed LPCH’s summer planning model, accounting for COVID-related cancellations and outputting block schedule adjustment recommendations to reach target utilizations. • Supervised by David Scheinker. • Developed a surgical demand forecasting model to project utilization in operating rooms. • Designed LPCH’s summer planning model, accounting for COVID-related cancellations and outputting block schedule adjustment recommendations to reach target utilizations. • Supervised by David Scheinker.



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • Oct 2019 - Mar 2020

  GSB/Freeman Spogli Institute • I used causal inference to understand a new health insurance system’s impact on rural and urban populations in China. I coded in R to explore a dataset describing 10 million patient visits and ran a Difference in Differences analysis to quantify the effects on populations depending on their insurance group. • Supervised by Karen Eggleston and Stefan Wager. GSB/Freeman Spogli Institute • I used causal inference to understand a new health insurance system’s impact on rural and urban populations in China. I coded in R to explore a dataset describing 10 million patient visits and ran a Difference in Differences analysis to quantify the effects on populations depending on their insurance group. • Supervised by Karen Eggleston and Stefan Wager.



Renault-Nissan-Mitsubishi

• France
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Project Management Intern - Autonomous Vehicles

  • Jul 2019 - Sep 2019

  Seamless Autonomous Mobility team • Researched the implementation of an internal autonomous driving-related product to other markets. • Interviewed 14 companies to assess their needs and discussed feature feasibility with engineers. • My project led to several NDA signatures for advanced talks. I received an extension offer to continue it part-time. Seamless Autonomous Mobility team • Researched the implementation of an internal autonomous driving-related product to other markets. • Interviewed 14 companies to assess their needs and discussed feature feasibility with engineers. • My project led to several NDA signatures for advanced talks. I received an extension offer to continue it part-time.



University of Southern California

• United States
• Higher Education
• 700 & Above Employee

• Summer Researcher - Data Analysis

  • Jul 2017 - Aug 2017

  Department of Industrial and Systems Engineering • Worked on Professor Suen’s research project, in which we sought to design a compartmental model to predict transmission patterns of HIV in the Los Angeles area. • Statistical analysis of a large dataset (50,000 x 200) from a clinic to understand patients’ behavior. • Learned to code in R and worked in a Linux environment to access confidential data. Department of Industrial and Systems Engineering • Worked on Professor Suen’s research project, in which we sought to design a compartmental model to predict transmission patterns of HIV in the Los Angeles area. • Statistical analysis of a large dataset (50,000 x 200) from a clinic to understand patients’ behavior. • Learned to code in R and worked in a Linux environment to access confidential data.