Joyce Luo Email & Phone Number

Princeton, New Jersey, United States

ORF 307: Optimization

• Modeled the dynamics of the opioid epidemic using an ordinary differential equation-based model and fit the model parameters using a new technique called neural ordinary differential equations• Created an optimization model that incorporates the dynamical model of the epidemic and socioeconomic equitability considerations in order to recommend optimal opioid treatment facility locations across the United States (Supervised by Prof. Bartolomeo Stellato)

Princeton, New Jersey, United States

Used offline reinforcement learning methods to find optimal treatment policies for COVID-19 patients (Supervised by Prof. Barbara Engelhardt)

Princeton, New Jersey, United States

ORF 245: Fundamentals of Statistics

Princeton, Nj

• Tutored students in engineering calculus and physics courses approximately 3 hours per week• Facilitated group discussion and understanding about complicated topics in a study hall setting

Redmond, Washington, United States

Redmond, Washington, United States (Remote)

• Developed and automated the creation of a new product for Azure customers that provides enhanced security features• Collaborated with partner teams across engineering disciplines to design and create new cloud security technology on Azure• Defined the customer experience by creating product specs and engaged with customers to assess the product’s success• Created impactful data dashboards that will be used by product managers to gauge the usage of the product and its features

Rochester, New York Area

• First-authored a manuscript that has been published in the journal Tobacco Control and co-authored two other publications• Used Python and SAS to conduct data mining, data modeling, and statistical analysis on social media data from Reddit in order to make conclusions about different JUUL (a type of e-cigarette) flavors and health problems related to those flavors• Collected, cleaned, and used Natural Language Processing to put the social media posts into a form usable for analysis• Developed a webpage crawler to gather posts and post information from E-cigarette-related medical forums• Created visually impactful tables and figures in Excel and Python for data reporting(Supervised by Prof. Dongmei Li)

Rochester, New York Area

• Analyzed time series data regarding electric grid failures using the R programming language• Created an early warning system to predict electric grid failures and notify operators before the failure occurs

Rochester, New York Area

• Engaged in independent research culminating in a formal research paper (completed July 2018) • Presented research at a symposium to a non-specialist audience • Developed a new ammonia-removal process (called inert gas purging) for anti-reflective coating solutions in laser systems• Collected data from production-scale trials and used Excel to visualize and analyze data to assess the efficiency of the process

Doctor Of Philosophy - Phd, Operations Research

Activities and Societies: MIT INFORMS Student Chapter (Vice President 2022-2023), MIT Club Tennis

Bachelor Of Science In Engineering, Operations Research And Financial Engineering

Activities and Societies: Princeton Data Science (Co-President), Princeton Club Tennis Travel Team (Co-President), Princeton Society.

High School Diploma

Activities and Societies: Science Olympiad (Captain), Pittsford Tutoring Club (President), Model UN Club (President), Rochester.