I am a Dual PhD Student in the Department of Informatics (specializing in Complex Network Systems), and the Department of Intelligent Systems Engineering (specializing in Neuroengineering) at Indiana University Bloomington (IU) as a Fellow of the CNS-NRT Program funded by the National Science Foundation (NSF). I am co-advised by Yong-Yeol Ahn and Gregory Lewis.
In 2023, I am working at the National Institute for Informatics (NII) in Tokyo, Japan from January to May on psychophysiological applications in information interaction and search, Samsung Digital Health Lab in Mountain View, California from May to September on stress sensing, and Central European University in Vienna, Austria from September to December on higher-order interactions in temporal brain fingerprinting research.
My research focuses on applying computational and cognitive models to measurements from multimodal behavioral sensing technologies (e.g. voice recordings, heart rate, pose, language) to enable and accelerate theory building around neuropsychiatric health and general wellbeing. I am particularly interested in developing cheap, non-invasive measures of neuropsychiatric state to make psychiatric healthcare more accessible to all. Currently, I am studying computational methods for assessing cross-modal synchrony in behavioral and neuroscientific studies.
Prior to IU, I worked on research at the Institute of Creative Technologies at the University of Southern California, where I worked with Mohammad Soleymani and Stefan Scherer studying multimodal behavioral sensing in substance abuse disorders and psychological distress. I also worked with Reza Hosseini Ghomi and Trevor Cohen at the University of Washington studying vocal biomarkers and the clinical application of semantic memory networks for cognitive decline. I continue to study semantic memory search with Michael Jones at IU.
Download Larry’s resumé.
Dual PhD in Complex Network Systems and Intelligent Systems Engineering, 2020 - Present
Indiana University Bloomington
BS in Electrical Engineering (Specialization in Machine Learning and Controls), 2013 - 2017
University of California, San Diego
Acoustic, Linguistic, Physiology, Body & Head Pose
Plotly, Altair, Seaborn, Vega
MySQL, PostgreSQL, AWS
Digital Biomarkers, Clinical Study Design, Ethics Approval
Journal articles, Grants & Fellowships, Reviewing
Fury.gl, Blender, VTK, trimesh
Machine Learning, Deep Learning, Network Science, Dynamical Systems
Scientific Computing and Package Development
Conference Presentations and Public Speaking