The Population Informatics Lab applies Data Science, Machine Learning (ML), and Artificial intelligence (AI) to analyze large-scale population data, advancing our understanding of societal trends, population health, and human behavior. Our key objectives are:
Foundational Research in Population Health using Data Science, ML, & AI. To deepen our understanding of the root causes of social and public health challenges; predict the downstream impacts of various policy decisions; identify upstream opportunities for effective interventions; and inform the strategic allocation of resources to maximize societal benefit at a population level
Foundational Research in Data Science, ML, & AI. To build a comprehensive ecosystem that supports population informatics research—focusing on foundational advancements in methods development for decision support systems, data mining, ML/AI, data integration as well as data governance, information privacy, and compliant computing for responsibly AI
Innovative AI Applications in Population Health. To develop AI-driven decision support tools and public health surveillance systems that leverage insights generated from data science to improve population health outcomes and inform policy-making.
The lab brings together methodological expertise from computer science (e.g., AI, ML, data mining, NLP, HCI), epidemiology, biostatistics, law, and ethics, alongside domain expertise in the health, social, behavioral, and economic sciences. We apply advanced computational methods to large-scale population data to address complex societal challenges, leveraging diverse data sources (e.g., government administrative records, electronic health records, traffic records) to support informed, evidence-based decision-making while protecting the confidentiality of individuals. Through strong partnerships with government agencies, research institutions, and practitioners, the lab advances the field of population informatics by enabling data-driven decision-making for the public good.
We welcome collaborations with other researchers interested in population informatics, computational social science, and medical/health informatics. Please contact Hye-Chung Kum (kum at tamu dot edu) if you have any questions.
Michelle Hayek's paper comparing at-home blood pressure monitoring with traditional clinic-based monitoring was highlighted on TAMU Engineering's news website!
Dr. Kum cochair the Digital Ethology Ernst Strüngmann forum (Forum is supported by the Deutsche Forschungsgemeinschaft, the German Research Foundation). Book in print by MIT press (summer 2024).
Hye-Chung Kum inducted as a Fellow of the American Medical Informatics Association
TEES awards seed grant funding for Big Data and cybersecurity research
Bobak Mortazavi: College of Engineering, Department of Computer Science & Engineering
William M. Sage: Texas A&M, Department of Health Policy and Management
Mahin Ramezani: Center for Transportation Safety, Texas A&M Transportation Institute (TTI)
Mark Lawley: College of Engineering, Department of Industrial Engineering & Department of Biomedical Engineering
Robert Ohsfeldt: Texas A&M, Department of Health Policy and Management
Christine Blackburn: Texas A&M, Department of Health Policy and Management
Hannah Rochford: Texas A&M, Department of Health Policy and Management
Qi Zheng: Texas A&M, Department of Epidemiology & Statistics
Dennis Gorman: Texas A&M, Department of Epidemiology & Biostatistics
Daniel Marthey, Texas A&M, Department of Health Policy and Management
Kuan-Hao Huang: College of Engineering, Department of Computer Science & Engineering
Frank Shipman, College of Engineering, Department of Computer Science & Engineering
Sherecce Fields, Texas A&M, Department of Psychological and Brain Sciences
Jenna Yentes, Texas A&M, Department of Kinesiology & Sport Management
Keegan Warren, Texas A&M, Law School & Institute for Healthcare Access
PhD Alumni
Theodoros Giannouchos: Assistant Professor at the Department of Health Policy & Organization, University of Alabama at Birmingham
Mohammad Karim: Assistant Professor, Department of Healthcare Administration and Policy, University of Nevada, Las Vegas
Nikita Wagle: Principal Scientist, Surveillance and Health Equity Science, American Cancer Society
Debra Tan: VA Research Associate
Yuxian Du: Postdoctoral Fellow, at Bayer
MPH Alumni
Yong Choi: PhD program at University of Washington
Kobi Ajayi: PhD program at Texas A&M University
Abhishek Kumar Singh (MSDS)
Joshua Immanuel Vemana (MSDS)
Dhruvraj Singh Rathore (MSDS)
Suhu Lavu (BS)
Alumni
Mahin Ramezan (MS): TTI
Gurudev Ilangovan (MS): Capital One
Qinbo Li (PhD)
Han Wang (PhD)
Jain Prannay (MS)
Vishwas Siravara (MS)
Yumei Li (BS)
Johnny Yoon (BS)
Haiwei Chen (BS)
Alumni
Michele Hayek (PhD): Data and AI Consultant, Impact Advisors
Sulki Park (PhD): Biostatistician, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health
Doowon (PhD)
Pulkit Jain (MS)
Seoyoon Lee
Ashley Forsman
Jacob Hooper
Jonathon Lowe
Associate Director of Statistical Methods (Dr. Bobak J. Mortazavi, Center for Remote Health Technologies and Systems and Texas A&M Department of Computer Science and Engineering)
Privacy Officer: John Pryde
Associate Director of Facility & Computing (Dr. Honggao Liu, High Performance Research Computing)
Jessica Bernard: director of the Lifespan Cognitive and Motor Neuroimaging Laboratory.
David Washburn: Texas A&M, Department of Health Policy and Management
Itza Mendoza: Texas A&M, Department of Environmental and Occupational Health
Joseph Sharkey: Texas A&M, Department of Health Promotion and Community Health Sciences
Dr. Mark Fossett, Texas Research Data Center and Texas A&M Department of Sociology)
Amber Trueblood
Charles E. Bell, M.D., M.S.
Arcot Rajasekar, chief scientist at RENCI & professor at the School of Information and Library Science (SILS)
Ketan Mane
Sharlini Sankaran, executive director, REACH NC/RENCI
Howard Lander, senior research software developer
Barry Popkin (UNC Food Research Group)
Shu Wen Ng (UNC Food Research Group)
Thomas W. Carsey
Jon Crabtree
Dean Duncan
Kim Flair
Joy Stewart
Jennie Vaughn
Harlene Gogan
Cyrette Cotten-Fleming
Dorthy Cilenti
Marisa Domino
Shirley Richards
Marianne Hillemeier (Pennsylvania State University)
Tim Whitmire (Center for Health Statistics, NC-DHHS)
Michelle Mellers
Darshana Pathak (dpathak at cs dot unc dot edu): SAS, Cary
Ren Bauer (rabauer at email dot unc dot edu): Automated Insights, Durham
Ian Sang-June Kim (iankim at unc dot edu)
Gautam Sanka (gausanka at gmail dot com)
Dennis Given(dgiven at live dot unc dot edu)
Jordan Reese (jsreese at live dot unc dot edu)
Zhaoyu Zhang
Wei Cheng
Shunping Huang
Nirup Reddy
Loreli Evans
Wilson Lian
David Brandl
Chung-Kwon Lee
Elizabeth Caplick Weigensberg
Rachel Buchanan
Paul Lanier
Ryan Morgan
Cheryl Noble
Jilan Li
Yeong-Hun Yeo
Jung-Won Huh
Fall 2013: Dr. Kum also joined Texas A&M Health Science Center and more connections were made with Texas A&M. But UNC-CH also have seen more participation as the group matured.
Spring 2013: Became an inter organization group with Dr. Wells Joining Texas A&M Health Science Center
Fall 2012: Population Informatics Lab
Fall 2010: Social Welfare and Health Informatics Group (SWHIG)