Data Science related professionals outside of UD.
Dr. Akins is Director of the Center for Pediatric Clinical Research and Development for the Nemours Children’s Health System and an affiliated Full Professor in Materials Science & Engineering, Biomedical Engineering, and Biological Sciences at the University of Delaware. Dr. Akins received his PhD from the University of Pennsylvania where he trained in the Biophysical Cytology and Cell & Molecular Biology Programs with an emphasis on computational imaging, dynamic systems, and advanced statistics. He has contributed seminal work in multiple areas including protein analytics, regenerative medicine, and muscle pathophysiology. Dr. Akins is committed to improving the health and care of children with complex perinatal and congenital diseases through research and innovation. He also currently leads mentoring and scientist development programs focused on building biomedical research and research capacity in the state.
Assistant Professor, Data Science Institute
Helping society through artificial intelligence technologies
Dr. Haider Ali is an Adjunct Faculty (Assistant Professor) in the Data Science Institute at the University of Delaware. He is also a CEO and Founder of the Crowdception Inc. with over 15 years of extensive professional experience (mainly research and development in Computer Vision, Machine Learning, Applied AI, Robotics and Knowledge Based Systems) in Asia, Europe and the United States of America. Prior to joining the University of Delaware, he was an Assistant Research Professor in the Department of Computer Science at the Johns Hopkins University until April, 2019. He was an Associate Research Scientist at Center for Imaging Science (CIS), JHU from 2017-2018 and a Senior Research Scientist at the Institute of Robotics and Mechatronics (RM) of the German Aerospace Center (DLR), Germany from 2011-2017. He received his Ph.D. in Computer Science at Vienna University of Technology, Austria in 2010.
Civil & Environmental Engineering
Machine Learning, Information Retrieval, Recommender System and Large Scale Search Systems
Dr. Bhattacharya research focuses on leveraging machine learning and information retrieval algorithms to build at-scale recommender systems and search systems. Currently Dr. Bhattacharya is a Senior Research Scientist at Netflix Research, where she works on developing at-scale machine learning models for Search and Recommendation Systems. Prior to Netflix, she was a Senior Applied Scientist at Etsy, a two-sided marketplace. At Etsy, Moumita was tech leading a team that developed recommendation systems to show relevant products to Etsy users. Dr. Bhattacharya has a PhD in Computer Science with a focus on Machine Learning and its applications in disease prediction and patient risk stratification. She is actively serving as Program Committees for SIAM International Conference on Data Mining and The Web Conference 2023 since 2020 and is a reviewer for conferences such as WSDM, The Web Conference 2023, American Medical Informatic Association (AMIA), and journals including Journal of the American College of Cardiology, among others.
Imaging, Spectroscopy, Biophysics, Nanotransport, Machine Learning
Hacene Boukari, PhD, is Professor of physics and Associate Dean for Research in the College of Agriculture, Science, and Technology (CAST) at Delaware State University (DSU). He obtained his PhD degree in Chemical Physics from the University of Maryland. His career started while working on a 22-million-dollar NASA project (Zeno Experiment) to build and operate a spectrometer for studying supercritical xenon in microgravity aboard the NASA Space-Shuttle. Before joining DSU (2010), he held several positions, including Senior Scientist at NIH, Guest Researcher at NIST, and Postdoctoral Fellow at University of Maryland. He worked on diverse projects, including understanding the transport properties of supercritical fluids, determining interactions of biopolymers and cells, and probing diffusion of nanoparticles in complex matrices. His current work focuses on combining machine learning methods and novel optical and imaging techniques to investigate interactions of nanoparticles in crowded complex systems and their impacts on the overall behavior of the systems. He received the researcher award from NASA and the DSU research and service awards.
Psychometrics, Structural Equation Modeling, Psychological Well-Being
Dr. Chen is a senior research biostatistician at the Nemours Center for HealthCare Delivery Science, Associate Professor of Pediatrics at the Thomas Jefferson University. Before joining Nemours, Dr. Chen was an Assistant Professor of Psychology in the Department of Psychology at the University of Delaware and later at the University of Hong Kong. Dr. Chen obtained her Ph.D. from Arizona State University, where she pursued a rigorous course of training in both quantitative methodology and social psychology. Dr. Chen’s scholarly work builds on the foundation of her dual training in quantitative methodology and social psychology. She conducts basic research on measurement, basic research on social/health psychology, and applies her work on measurement to key constructs in social/health psychology. Dr. Chen’s work has been widely cited by researchers, including top ranked journals’ most cited list, and Classics in Academic & Psychological Testing.
Dr. Malcolm J. D’Souza is Professor of Chemistry & Dean of Interdisciplinary Collaborative/Sponsored Research at Wesley College. Dr. D’Souza laid the groundwork to establish the Wesley Sponsored Research Office. By developing an inclusive and successful mentoring program, he launched undergraduate research (UR) activities to inspire students from marginalized groups to be resilient, collaborative, and successful. His academic training in chemistry, physics, and mathematics has allowed him to develop UR projects, presentations, and publications in the areas of chemical informatics, chemometrics, chemical synthesis and mechanistic pathway studies, STEM-education, (societal) data-driven analytics, and the design of commercial databases for new pharmaceutical and agricultural products.
statistical machine learning, bioinformatics, survival analysis, data mining, high-dimensional data analysis
Dr. Devarajan is an Associate Research Professor in the Department of Biostatistics and Bioinformatics at Fox Chase Cancer Center (FCCC) and Adjunct Associate Professor in the Lewis Katz School of Medicine at Temple University (TU). He has been an affiliated faculty member in the Center for High-dimensional Statistics in the Department of Statistics, Operations and Data Science at TU. His primary research interests encompass statistical machine learning and data science with applications in bioinformatics, genomics, neuroscience, biomedicine and natural language processing; its principal focus is the development of statistical and computational approaches for massive data sets and includes methods for pattern recognition, outlier detection, feature selection, biomarker discovery, and predictive modeling. He has published over 100 peer-reviewed papers, book chapters and pre-prints. Dr. Devarajan serves as Co-Chair of the Data Safety and Monitoring Board at FCCC and on the editorial board of scientific journals. Previously, he held research positions at the Bristol-Myers Squibb Pharmaceutical Research Institute and AstraZeneca Pharmaceuticals.
Boston Chilren’s Hospital
Triclosan, Parabens, Asthma, Environment, Children
Medina Jackson-Browne is a Senior Staff Scientist in Division of General Pediatrics at Boston Children’s Hospital. Dr. Jackson-Browne received her PhD in Environmental Health Sciences from the Mailman School of Public Health at Columbia University. Previously, she was an assistant professor in the in Epidemiology program in the College of Health Sciences at the University of Delaware and a postdoctoral research scholar in the Department of Epidemiology at the Brown University School of Public Health. Her primary research focus is understanding the effects of exposure to environmental chemicals, particularly during gestation and in early childhood, on the alteration of immune function and the development of allergic diseases in children.
Big data, social network analysis, machine learning, health services research
Dr. Ostovari is a Lead Research Investigator at the Institute for Research on Equity and Community Health (iREACH), Christiana Care Health Services, Inc. She holds a Ph.D. in Industrial Engineering from Purdue University. Dr. Ostovari is interested in the application of social network analysis and machine learning for improving access to care and health outcomes for patients with chronic conditions. She has successfully obtained external funding, including a Mentored Research Development Award (MRDA) in 2019 and a pilot grant from the DE-CTR ACCEL program in 2021. She has presented her research in multiple national and international conferences, including the American Medical Informatics Association (AMIA) Annual Symposium, and has several publications in peer-reviewed journals, such as PLOS One and JAMIA.
Dr. Tawiah is an Assistant Professor at Delaware State University, where he teaches introductory and upper-level sociology courses. His research focuses on health disparities inequality, labor, family, machine learning, and data science education. He is also a consultant with the Food Science Program at Delaware State University, applying data science expertise. He has successfully obtained funding from USDA-AFRI and USDA-NIFA to introduce data science into classroom education.
Director of Biostatistics, Christiana Care Health System
Fellow, American Heart Association
Biostatistics, public health, health economics, bioinformatics, data analysis
As director of biostatistics at the Christiana Care Health System, I carried out study design, methodology research, data analysis, writing drafts as the lead author for peer reviewed research papers, and teaching courses. I published manuscripts in New England Journal of Medicine, Journal of American Medicine, JACC, Circulation, Journal of Clinical Hypertension, The Canadian Journal of Cardiology, among others. My work and papers have been widely reported via media and cited in academic journals. I have worked extensively on several large, international, multi-center, randomized clinical trials, including the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation, the Enoxaparin and Thrombolysis Reperfusion for Acute Myocardial Infarction Treatment, American College of Cardiology Foundation-The Society of Thoracic Surgeons Collaboration on the Comparative Effectiveness of Revascularization Strategies, Systolic Blood Pressure Intervention Trial, and Individual Breastfeeding Support with Incentives for Low-income Mothers.