4th Annual National Big Data Health Science Conference Agenda 

Friday, February 10, 2023

|Plenary Sessions|

8:00 am – 9:40 am

Registration and Breakfast

9:40 am – 9:55 am

Opening Remarks

Michael Amiridis, 30th President of the University of South Carolina

Announcement of Case Competition Winners

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

10:00 am – 10:45 am

Creating a FAIR and Equitable Data Ecosystem

Susan Gregurick, Associate Director for Data Science & Director of Office of Data Science Strategy, National Institutes of Health

10:55 am – 11:40 am

Leveraging the National COVID Cohort Collaborative (N3C), a national electronic health records repository, for insights into COVID-19 and health equity

Rena Patel, Assistant Professor, Division of Allergy and Infectious Disease, Department of Medicine & International Clinical Research Center, Department of Global Health, University of Washington

11:45 am – 12:30 pm

The Macroscope Meets the Microscope: Integrating Earth Science Data with Disease Surveillance for Outbreak Forecasting

Michael Wimberly, Professor, Deptartment of Geography and Environmental Sustainability, University of Oklahoma

12:30 am – 1:30 pm


Underrepresented Minorities Academic Career Development and Data Science Applied to Health Luncheon

Julian Williams, Vice President, Diversity, Equity and Inclusion, University of South Carolina

Cheryl Addy, Vice President and Dean of Faculty, Interim Executive Director of OIRAA, and Interim Dean of the Graduate School, University of South Carolina

|Breakout Sessions|

Geospatial Core Breakout Session

Seeing What Others Can’t: Integrating Geospatial Methods into Big Data Research

1:30 pm – 3:30 pm

Employing Big Data Methods to Elucidate the Impact of Three Decade’s Extreme Weather Events on Early Childhood Development in the United States

Leila Larson, University of South Carolina

The Utility of a Bayesian Predictive Model to Forecast Neuroinvasive West Nile Virus Disease in the United States, 2022

Maggie McCarter, University of South Carolina

Using Geographically Weighted Poisson Regression to Examine Factors Associated with the Spatial Heterogeneity of COVID-19 Infection Rate in Bologna, Italy

Addisu Jember Zeleke, University of Bologna

Geographic Variations in Spatial Access to Hospital Maternity Care and Digital Access to Technology in the United States

Peiyin Hung, University of South Carolina

Adapting Survey Designs for Vector Surveillance Using Bayesian Decision Theory: An Application to an Ongoing Tick Monitoring Program in the Southeastern United States

Brendan Case, University of Vermont

Identifying Associations Between Hotspots of Social Determinants of Health Needs, Community-Based Organizations and Healthcare Resource Use

Reid DeMass, University of South Carolina

Using Smartphone-Based Place Visitation Big Data to Improve Health Measure Estimation

Huan Ning, University of South Carolina

Drones for 3D Monitoring of Coastal Ecosystem Healthiness with Sea Level Rise

Cuizhen Wang, University of South Carolina

Electronic Health Records Core Breakout Session

Cutting Edge Methodologies to Handle Health Science Big Data

1:30 pm – 3:30 pm

Oracle P-values for High Dimensional Regression Models 

Helen Zhang, University of Arizona

Distribution Invariant Differential Privacy

Xiaotong Shen, University of Minnesota

Leveraging Electronic Health Records for Big Data Research

Jihad Obeid, Medical University of South Carolina

On the Use of an Automated, Reproducible Binning Approach to Bring Consistency in Calibration of Predictive Models built on Electronic Health Records

Madhusree Chowdhury, Health Data Analytics Institute

Topological Inference on Heat-Diffusion Estimates of Persistence Diagrams

Yuan Wang, University of South Carolina

Genomic Core Breakout Session

The Power of Genomic Analysis in Biological and Health-Related Data

1:30 pm – 3:30 pm

Rigorous benchmarking of T cell receptor repertoire profiling methods for cancer RNA sequencing

Serghei Mangul, University of Southern California

Big Data-Based Genome Mining for Drug Discovery

Jie Li, University of South Carolina

Integrated Molecular and Clinical Data Analysis of Cancer Patients

Anna Blenda, University of South Carolina

Kynurenine aminotransferase II inhibition improves sleep architecture in adult male and female rats exposed to kynurenic acid elevation during development

Snezana Milosavljevic, University of South Carolina

Knowledge discovery,  Machine learning, and Transcriptomics to drug repurposing for the treatment of HAND and cocaine abuse

Michael Shtutman, University of South Carolina

Regulation of stress granules dynamics and composition by Dead Box RNA Helicase 3

B. Celia Cui, University of South Carolina

Artificial Intelligence for Sensing and Diagnosis Core Breakout Session

AI for Medical Research and Treatment

3:45 pm – 5:45 pm

Using Random Forest Classifier to Identify Important COVID-19 Patient Characteristics Predicting Mortality in South Florida

Debarshi Datta, Florida Atlantic University

Prognostic Models for Sepsis Based on Short-term ICU Data

Chunyan Li, USC

Interrogating the Metabolomic Profile of Amyotrophic Lateral Sclerosis in the Post-Mortem Human Brain by Infrared Matrix-Assisted Laser Desorption Electrospray Ionization (IR-MALDESI) Mass Spectrometry Imaging (MSI)

Alexandria Sohn, North Carolina State University

Leveraging smartphone technology to enhance patient-centered HIV care and treatment services in Nigeria’s most populous city: The Jolly-95 app experience

Obioma Azurunwa, Centre for Integrated Health Programs

Exploring Racial Disparities in Colorectal Polyp Characteristics at Screening Colonoscopy Using Machine Learning Approaches

Yuqi Wu, Mayo Clinic Department of Artificial Intelligence and Informatics

Using the Semantic Web technology to leverage interoperable clinical decision support system (CDSS) rules—a pathway to interoperable patient records

Xia Jing, Clemson University

Using label-free two-photon microscopy and deep learning image processing to assess the chondrocyte viability of articular cartilage

Hongming Fan, Clemson University

An algorithm on the concept of the uniquely most frequently visited provider

Songyuan Deng, USC School of Medicine

Social Media Core Breakout Session

Harnessing Big Social Data for Public Health Research

3:45 pm – 5:45 pm

Using Social Meda and Place Visitation Data for Public Health Research: Applications, Challenges, and Innovation Opportunities 

Zhenlong Li, University of South Carolina

Epitweetr: development and implementation of an AI tool to monitor Twitter trends for early warning of threats to public health

Laura Espinosa, European Centre for Disease Prevention and Control

Using Artificial Intelligence Methods to Identify Perinatal Substance Use Discourse and Stigma Patterns on Twitter

Dezhi Wu, University of South Carolina

Examine HIV Service Interruption During the COVID-19 Pandemic using Cellphone-Based Place Visitation Data

Shan Qiao, University of South Carolina

Assessing information quality and user engagement of eating disorder content on TikTok

Valerie Lookingbill, University of South Carolina

Youth-Focused Tobacco Prevention through a novel advertising, sales, and social media tracking dashboard

Jaron King, South Carolina Department of Health & Environmental Control

Disparities in mental health service utilization among immigrants in the U.S. using geospatial big data

Fengrui Jing, University of South Carolina

NIH Trainee Session

3:45 pm – 5:45 pm

Antimicrobial use in the outpatient setting during COVID-19 pandemic

Pamela Bailey, University of South Carolina

Quantifying vascular calcification and predicting patient outcomes with synthetic data, deep neural networks, and logic programming

Forest Agostinelli, University of South Carolina

Informatics approach to identification and deep phenotyping of PASC cases 

Chen Liang, University of South Carolina

Leveraging Big Data for the prevention and control of sexually transmitted infections (STIs)

Mufaro Kanyangarara, University of South Carolina

Graduate Student Mentoring in Quantitative Health Sciences: A Mentee’s Perspective 

Joshua Miles, University of Florida

Saturday, February 11, 2023

8:00 am – 9:30 am

Registration and Breakfast

|Poster Session I|8:30 am – 9:30 am

|Plenary Sessions|

9:35 am – 10:20 am

Harnessing big heterogeneous data to evaluate the potential impact of HIV responses among key populations in generalized epidemic settings in Sub Saharan Africa: The Boloka Data Warehouse Project

Refilwe Phaswana-Mafuya, Professor, Epidemiology and Public Health, Faculty of Health Sciences and Director of the first SA Medical Research Council/University of Johannesburg (SAMRC) Pan African Centre of Epidemics Research (PACER) Extramural Unit

10:25 am – 11:10 am

Priorities, Strategies, and Research Interests in Data Science for Health: Perspectives from NIH Leadership and Programs

Moderator: Lori Scott-Sheldon, National Institutes of Health

11:15 am – 12:00 pm

Four Methodological Themes in Spatial Health Science

Fahui Wang, Cyril & Tutta Vetter Alumni Professor, Associate Dean, the Graduate School, Department of Geography and Anthropology, Louisiana State University

12:00 pm – 1:00 pm


|Poster Session II|12:00 pm – 1:00 pm

|Breakout Sessions|

Electronic Health Records Core Breakout Session II

Addressing Public Health Issues Using Health Science Big Data

1:00 pm – 3:00 pm

SARS-CoV-2 Infections and Severe Maternal Morbidity in U.S. Patients: A National Retrospective Cohort Study 

Jihong Liu, University of South Carolina

Leveraging the Continuity in Treatment dashboard analytics to retain Persons Living with HIV on ART care and treatment in Nigeria- The Lagos ART Surge Experience

Oluwasola Idowu, Centre for Integrated Health Programs

Social Determinants of Health and Severe Maternal Morbidity During the COVID-19 Pandemic in the US

Peiyin Hung, University of South Carolina

Identifying risk factor clusters to predict undiagnosed cognitive loss 

Longgang Zhao, University of South Carolina

The Incidence and Evolving Risk Factors of Diabetes Among People Living with HIV- A Population-based Cohort Study

Gazi Sakir Mohammad Pritom, University of South Carolina

Prediction of Low Birthweight Babies and Associated Risk Factors in an Extremely Imbalanced Large-Scale Prenatal Care Dataset: A Machine Learning Approach

Yang Ren, University of South Carolina

Association between patient-provider shared decision-making and use of pain-related complementary and integrative health modalities among adults with chronic noncancer pain, 2010-2017

Yi-Wen Shih, University of South Carolina

Developing a Taxonomic Framework for Ethics and Biases in Data Analytics Involving Electronic Health Records and other Big Data Sources 

Moderator: Bankole Olatosi, University of South Carolina

1:00 pm – 3:00 pm

Race and Risk:  A Bioinformatic Analysis of Alzheimer’s Disease

Loni Taylor, Meharry Medical College

Charrette-like Activity to Provide Input on this Important Problem

George Khushf, University of South Carolina and Shan Qiao, University of South Carolina

Creating Big Data Dashboards using SAS Viya for Learners

1:00 pm – 3:00 pm

 Linda Jordan, MSc, SAS

|Plenary Sessions|

3:15 pm – 4:00 pm

Advancing Digital Health Policies and Funding Strategies to Improve the Public’s Health

Valerie Rogers, Director, Government Relations, Healthcare Information and Management Systems Society (HIMSS)

4:00 pm – 4:30 pm

Closing remarks & Poster Presentation Awards Announcement

Julius Fridriksson, Vice President for Research, University of South Carolina