Louis Adedapo Gomez

AI/ML Researcher

Stevens Institute of Technology

Health and AI Lab

Biography

Louis Gomez is an AI/ML researcher at the Health and AI Lab. His Phd dissertation focused on developing new machine learning and causality based methods to generate new knowledge and enhance decision-making for doctors and patients by leveraging both real-world clinical (e.g., physiological signals) and patient-generated (e.g., blood glucose) time series data.

Education

PhD in Computer Science, 2024
Stevens Institute of Technology
MS in Computer Science, 2021
Stevens Institute of Technology
BSc in Electrical Engineering, 2018
Wichita State University

Publications

Collin J Popp, Chan Wang, Adam Hoover, Louis Adedapo Gomez, Margaret Curran, David E St-Jules, Souptik Barua, Mary Ann Sevick, Samantha Kleinberg (2023). Objective Determination of Eating Occasion Timing (OREO): Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Pre-Diabetes and Obesity. JDST.

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Louis Adedapo Gomez, Aishat Toye, R.Stan Hum, Samantha Kleinberg (2023). Simulating Realistic Continuous Glucose Monitor Time Series By Data Augmentation. JDST.

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Louis Adedapo Gomez, Qi Shen, Kevin Doyle, Athina Vrosgou, Angela Velazquez, Murad Megjhani, Shivani Ghoshal, David Roh, Sachin Agarwal, Soojin Park, Jan Claassen, Samantha Kleinberg (2022). Classification of Level of Consciousness in a Neurological ICU Using Physiological Data. Neurcrit Care.

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Hae Won Park, Ishaan Grover, Samuel Spaulding, Louis Adedapo Gomez, Cynthia Breazeal (2019). A Model-free Affective Reinforcement Learning Approach to Personalization of a Social Robot Companion for Early Literacy Education. AAAI.

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