About Me

I'm a fifth-year PhD student in the Center for Systems Science and Engineering at Johns Hopkins University. My primary research interests are in optimization and machine learning for applications in healthcare and medicine. I also have a BS in Computer Science and Applied Math from Johns Hopkins.

Ongoing Research

Time-Series Augmented Multimodal Large Language Models

Developing a multimodal LLM framework for time series prediction and analysis.

Predictive Hospital Capacity Management

Building models to predict surge demand and proactively optimize patient flow at the Johns Hopkins Hospital.

Supervised Inverse Optimization

Extending inverse optimization to incorporate outcome data or scores.

¶ Abstract

Misinformation Tracking

Using LLMs to track the spread of misinformation across platforms.

Completed Projects

MedTsLLM: Leveraging LLMs for Multi-Modal Medical Time Series Analysis

Paper Code ¶ Abstract

Optimal Hospital Capacity Management During Demand Surges

Developed models to optimize practical capacity management decisions in hospital systems during surge periods.

Paper Code ¶ Abstract

screenshot of options in a dashboard

An Interactive Decision-Support Dashboard for Optimal Hospital Capacity Management

Built an interactive online dashboard to assist hospitals in making capacity management decisions during major demand surges.

Paper Code ¶ Abstract

diagram of transfers between hospitals

Hospital Resource and Demand Redistribution for COVID-19

Developed models to make optimal patent and resource transfers between hospitals to reduce the burden of COVID-19 on healthcare systems.

Website Paper Code ¶ Abstract

plot of forecast evaluation scores across locations and time

Evaluating Epidemic Forecasting

Introduced the weighted contextual interval score, a new metric for evaluating quantile forecasts in context.

Paper ¶ Abstract

diagram of matching graph nodes

Phantom Alignment Strength in Weakly Correlated Graphs

Studied alignment strength of seeded graph matching for weakly-correlated graphs.

Paper Code ¶ Abstract

image of a retina

Detecting Sickle-Cell Retinopathy

Used deep learning to detect sickle-cell retinopathy from ultra-widefield fundus photography.

Paper Code ¶ Abstract

diagram of segmented regions of a larynx

Automated Classification and Segmentation of Laryngeal Lesions

Instance segmentation for detecting two types of laryngeal lesions in endoscopic video.

Paper Code ¶ Abstract

image of a caataract surgery being performed

Cataract Surgery Phase Identification

Contributed to a machine learning system for recognizing the current phase in cataract surgery from video as a step towards automated skill assessment.

Paper ¶ Abstract

AlphaTSP

Built a heuristic solver for the traveling salesman problem using Monte Carlo tree search and deep reinforcement learning, inspired by AlphaZero.

Code Paper ¶ Abstract