We are delighted and proud to announce the conference keynote speakers!

Robert L. Caslen Jr.

President, University of South Carolina

Robert L. Caslen Jr., the University of South Carolina President , will deliver the Welcome and Opening Remarks.

G. Thomas Chandler, Ph.D., M.Sc

Dean, Arnold School of Public Health, University of South Carolina

Dean Chandler will chair the Opening Session and announce the winners of Student Big Data Case Competition.

Stephen J. Culter, Ph.D.

Dean, College of Pharmacy, University of South Carolina

Dean Culter will deliver the Closing Remarks.

Sean Young, Ph.D., M.S.

The Executive Director of the University of California Institute for Prediction Technology, the Center for Digital Behavior

Dr. Young is the Executive Director of the University of California Institute for Prediction Technology, the Center for Digital Behavior, a Medical School and Informatics Professor with the UCI Departments of Emergency Medicine and Informatics, and the #1 Wall Street Journal and International Best-Selling author of Stick With It.

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He studies digital behavior and prediction technology, or how and why people use social media, mobile apps, and wearable devices. He helps people and businesses apply this knowledge to predict what people will do in the future (in areas like health, medicine, politics, and business) and to change what they will do in the future.

Cui Tao, Ph.D.

Professor at the School of Biomedical Informatics, University of Texas Health Science Center at Houston.

Dr. Tao is an elected fellow of American College of Medical Informatics (FACMI).  Dr. Tao is a recipient of the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE) of 2014 named by President Obama. 

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Dr. Tao is an expert in medical informatics with focus on ontologies, biomedical data and knowledge extraction, normalization, and integration, as well as applying artificial intelligent technologies on biomedical applications. Dr. Tao has published more than 150 peer-reviewed articles and has served as a reviewer for many different journal and conferences.

Dolores Albarracin, Ph.D.

Professor of Psychology, Business, and Medicine at the University of Illinois at Urbana-Champaign

Presentation Title: Integrating Big Data into Theory and Applications on Health-Behavioral Change

Dr. Albarracin is is a leading expert in the study of attitudes, communication, and behavioral change. She has been a tenured professor at the University of Illinois, the University of Florida, and the University of Pennsylvania. She has published about 180 journal articles and book chapters in the leading outlets of the psychology field and other disciplines. She is a fellow of the Society for Experimental Social Psychology, the Society for Personality and Social Psychology, the American Psychological Association, and the Association for Psychological Science.

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Her work has been recognized with the inaugural 2018 Mid-Career Award for Outstanding Scientific Contribution on Attitudes and Social Influence from the Society for Personality and Social Psychology. Her research received the 2019 Avant Garde Award from the National Institute of Drug Abuse for work using computational and experimental methods. She is the author of five books, including Action and Inaction in the Social World: Predicting and Changing Attitudes and Behaviors, published by Cambridge University Press. She is the Editor-in-Chief of Psychological Bulletin (2014-2020).

Susan Gregurick, Ph.D.

Associate Director for Data Science and Director of the Office of Data Science Strategy (ODSS) at the National Institutes of Health

Presentation Title: Using Data Science to Address a Global Pandemic

Susan K. Gregurick, Ph.D., was appointed Associate Director for Data Science and Director of the Office of Data Science Strategy (ODSS) at the National Institutes of Health on Sept. 16, 2019. Under Dr. Gregurick’s leadership, the ODSS leads the implementation of the NIH Strategic Plan for Data Science through scientific, technical, and operational collaboration with the institutes, centers, and offices that comprise NIH. Dr. Gregurick was instrumental in the creation of the ODSS in 2018 and served as a senior advisor to the office until being named to her current position.

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Dr. Gregurick was previously the Division Director for Biophysics, Biomedical Technology, and Computational Biosciences at the National Institute of General Medical Sciences. Prior to joining the NIH in 2013, Dr. Gregurick was a program director in the Office of Biological and Environmental Research at the Department of Energy.

Before beginning a career of government service, Dr. Gregurick was a professor of computational chemistry at the University of Maryland, Baltimore County. Her research interests included dynamics of large biological macromolecules, and her areas of expertise are computational biology, high performance computing, neutron scattering and bioinformatics.

Dr. Gregurick received her undergraduate degree in chemistry and mathematics from the University of Michigan and her Ph.D. in physical chemistry from the University of Maryland.

Bankole (Banky) Olatosi, M.S., M.P.H., Ph.D., FACHE

The Program Director for the MHA program in the Department of Health Services Policy and Management, at the Arnold School of Public Health, University of South Carolina

Dr. Olatosi is published in peer-reviewed journals and his research interests are in the fields of Big Data Health Analytics, HIV/AIDS, COVID-19 and rural health. He has expertise in the field of Data Analytics and Data Mining, and currently has NIH grant funding in this area. He is a Fellow of the American College of Healthcare Executives (FACHE) and serves on the board of the South Carolina ACHE state chapter. 

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He is passionate and committed to the improvement of graduate healthcare education. He currently serves as the Chair of the CAHME Accreditation Council and is also a CAHME national board member. Banky Olatosi earned his doctorate in Health Services Policy and Management from the University of South Carolina and earned his MPH in Public Health Administration and Policy from the University of Minnesota (Twin Cities). He also holds a master’s degree in biochemistry.

Sultan Haider

Head of Innovation Think Tank, Siemens Healthineers; Program Director and Adjunct Professor at Innovation Think Tank Lab at University of South Carolina  

Presentation Title: Elaboration of Disease Pathways to Drive Future Requirements for Healthcare Systems Using Innovation Think Tank 

Prof. Sultan Haider is the founder and Global head of Innovation Think Tank at Siemens Healthineers. He has filed over 500 inventions and patents and has established Innovation Think Tank Labs in Germany, US, Turkey, China, India, UK and UAE.

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Prof. Sultan has been invited to conduct Innovation Think Tank certification programs at a number of prestigious universities and hospitals worldwide like Acibadem University, New York University Abu Dhabi, Peking University, Oxford University Hospitals, Technical University of Munich, Bogazici University, Baskent Hospital Group and University, Imperial College London, Georgia Institute of Technology and University of South Carolina. Prof. Haider has been awarded multiple professorships and directorships in recognition of his innovation track record.

Wenbin Lu, Ph.D.

Professor of Statistics at North Carolina State University

Presentation Title: Statistical and Machine Learning Methods for Optimal Treatment Regime Estimation and Inference

Dr. Wenbin Lu is Professor of Statistics at North Carolina State University. He obtained his Ph.D. from Department of Statistics at Columbia University in 2003. His research interests include biostatistics, high-dimensional data analysis, statistical and machine learning methods for precision medicine, and network data analysis. 

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Dr. Lu has published more than 100 papers in a variety of statistical journals, including Biometrika, Journal of the American Statistical Association, Journal of the Royal Statistical Society (Series B), Annals of Statistics, and Journal of Machine Learning Research. He has graduated 26 Ph.D. students. His research is partly funded by several grants from the National Institute of Health. He is an Associate Editor for Biostatistics, Biometrics and Statistica Sinica, and a fellow of American Statistical Association.