PhD Statistics
2023-09-01
University of California, Irvine
BS Statistics and Operations Research
2019-08-01
2023-05-14
University of North Carolina at Chapel Hill
BA Economics
2019-08-01
2023-05-14
University of North Carolina at Chapel Hill
My research focuses on developing statistical methods for healthcare applications, particularly in the context of mobile health and personalized medicine. I am currently working on two main projects:
Causal Mediation Analysis for Type 1 Diabetes — Developing autoencoder-based methods to understand how meal carbohydrate intake affects post-meal glucose trajectories through insulin bolusing behavior.
Tensor-Based Reinforcement Learning for Adaptive Insulin Dosing — Building personalized treatment recommendation frameworks using tensor factorization methods for longitudinal continuous glucose monitoring data.
Presented research on autoencoder-based causal mediation methods for analyzing postprandial glucose response in Type 1 Diabetes.
Guest lecturer for STATS 295, a graduate-level special topics course in machine learning.
T32 STEER in Biomedical Sciences Fellow (2025) — NIH-funded training fellowship supporting research at the intersection of statistics and biomedical sciences, University of California, Irvine.
Diversity Recruitment Fellowship (2023) — Fellowship awarded to support doctoral studies in Statistics at the University of California, Irvine.
PREDOC Summer Program (2022) — Selected for competitive data analytics training program at Harvard University’s Opportunity Insights, directed by economists Raj Chetty, John Friedman, and Nathaniel Hendren.
Literature review and application of Hidden Markov Model methods to the Penn Treebank dataset for STATS 230: Statistical Computing Methods. Tools Used: Python, R
Project demonstrating the efficacy of LSTM models in enhancing prediction of stock indexes such as the DJIA. Tools Used: Python, R
Short research paper completed as part of the PREDOC Summer Program 2022 at Harvard University’s Opportunity Insights, a data analytics training course directed by economists Raj …
Feel free to reach out via email at shilligo@uci.edu.
Office: Department of Statistics, University of California, Irvine
