Hello, I'm Larry.

I'm a final year Dual PhD Candidate at Indiana University Bloomington where I am an NSF-NRT Fellow. I'm currently co-advised by Yong Yeol Ahn and Gregory Lewis.

During my PhD, I've interned with the Digital Health Team at Samsung Research America, the Human Sensing and Interaction Team at Sony R&D Tokyo, and the Human Centered AI Team at Toyota Research Institute.

I've also been a visiting scholar at the National Institute of Informatics (NII) in Tokyo, Japan, and the Department of Network and Data Science at Central European University (CEU) in Vienna, Austria.

If you're interested in collaborating, please reach out! I am also available to consult on data science and research projects, specifically related to human-centered AI and digital health.

My research focuses on:

Affective Computing
Cognitive Science
Human-Computer (AI) Interaction
Physiological and Behavioral Sensing

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[April 2025] Paper Accepted at ICASSP 2025

Our paper 'Know Your Heart: Multimodal Cardiac Output Monitoring using Earbuds' has been accepted at ICASSP 2025.

[March 2025] Two Patents from Samsung Research America

Our patent(s) 'Cardiac signal quality check and feature extraction pipeline using morphological features for stress level estimation' (US20250082277A1) and 'Extracting Biomarkers For Stress Monitoring Using Mobile Devices' (US20250087366A1) have been published.

[December 2024] Paper Accepted at ICASSP 2025

Our paper 'Know Your Heart: Multimodal Cardiac Output Monitoring using Earbuds' has been accepted at ICASSP 2025.

[September 2024] Internship at Toyota Research Institute

I started an internship at Toyota Research Institute on the Human-Centered AI team.

[June 2024] Internship at Sony R&D Tokyo

I started an internship at Sony R&D Tokyo on the Human Sensing and Interaction team.

[January 2024] Internship at Samsung Research America

I started an internship at Samsung Research America on the Digital Health team.

Recent Publications

Know Your Heart Better: Multimodal Cardiac Output Monitoring using Earbuds

This study introduces EarCO, a non-invasive cardiac output monitoring system using commodity earbuds with photoplethysmography and ballistocardiogram signals. The research demonstrates that multimodal earbud sensors can accurately estimate cardiac output for daily cardiovascular health monitoring.

Published on March 27, 2025

Morphological Photoplethysmography Features Enhance Stress Detection in Earbud Sensors

This study shows that morphological features from earbud PPG sensors outperform heart rate variability features for stress detection. The research evaluates earbud sensors as a platform for stress monitoring.

Published on December 17, 2024

forager: A Python package and web interface for modeling mental search

A comprehensive Python package and web interface that implements computational models of memory search for analyzing verbal fluency task data. The tool provides multiple automated methods for cluster-switch analysis and foraging models to study semantic memory search patterns in both research and clinical settings.

Published on December 13, 2023

Speech Behavioral Markers Align on Symptom Factors in Psychological Distress

This study investigates the link between speech signals and psychological distress symptoms using the Distress Analysis Interview Corpus. The research demonstrates that speech behavioral markers align primarily with somatic and affective symptom factors rather than cognitive alterations.

Published on November 25, 2022

View All My Publications