Sean X. Luo, MD, PhD

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Overview
Research

Overview

Dr. Luo is Assistant Professor of Clinical Psychiatry, Columbia University Division on Substance Use Disorders, and Research Scientist, New York State Psychiatric Institute. He attended University of Chicago for his undergraduate degree in physics and mathematics and completed his training through the Medical Scientist Training Program at Columbia University, in computational neuroscience. He completed psychiatry training at Columbia University/New York State Psychiatric Institute and a NIDA funded T32 research fellowship in Addiction Psychiatry at Columbia. Dr. Luo’s current research interest lies at the interface of statistics, artificial intelligence, neuroscience and addiction psychiatry. Active research projects focus on bottom-up and top-down approaches to develop new algorithms and models to better match patients with substance use disorders to treatment. There is also significant interest in developing novel biomarkers and signal processing methods to extract predictive information from neuroscience-inspired human research methods.

Academic Appointments

Assistant Professor of Clinical Psychiatry

Administrative Titles

Research Scientist, New York State Psychiatric Institute

Gender

Male

Research

Grants

INDIVIDUAL LEVEL PREDICTIVE MODELING OF OPIOID USE DISORDER TREATMENT OUTCOME (NIH HEAL INITIATIVE) (Federal Gov)
Feb 15, 2020 – Feb 15, 2022
Electroretinogram: a new human biomarker for smoking cessation treatment (Federal Gov)
Jul 1 2017 - July 1 2022

Selected Publications

Original, Peer Reviewed Articles

Luo SX, Wall M, Covey L, Hu MC, Levin FR, Nunes EV and Winhusen T. Exploring longitudinal course and treatment-baseline severity interactions in secondary outcomes of smoking cessation treatment in individuals with Attention-Deficit Hyperactivity Disorder (ADHD) American Journal of Drug and Alcohol Dependence, 2018;44(6):653-659
Luo SX, Covey L, Hu MC, Levin FR, Nunes EV and Winhusen T. Toward personalized smoking-cessation treatment: using a predictive modeling approach to guide decisions regarding stimulant medication treatment of attention-deficit/hyperactivity disorder (ADHD) in smokers, American Journal on Addictions, 2015, 4:348-56. PMID: 25659348
Luo SX, Martinez D, Carpenter K, Silfstein M and Nunes EV. Multimodal predictive modeling of individual treatment outcome in cocaine dependence with combined neuroimaging and behavioral predictors, Drug and Alcohol Dependence, 2014, 143:29-35. PMID: 25108585


For a complete list of publications, please visit PubMed.gov