Felix Parker

Time-Series Augmented Multimodal Large Language Models

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

SimplexRL: Learning Optimal Pivot Selection for the Simplex Algorithm

Training a foundation model for pivot variable selection in the simplex algorithm using reinforcement learning.

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.

Misinformation Tracking

Using LLMs to track the spread of misinformation across platforms.

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

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Optimal Hospital Capacity Management During Demand Surges

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

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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.

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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.

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Evaluating Epidemic Forecasting

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

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Phantom Alignment Strength in Weakly Correlated Graphs

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

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Detecting Sickle-Cell Retinopathy

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

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Automated Classification and Segmentation of Laryngeal Lesions

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

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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.

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AlphaTSP

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

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