Michael A. Posner, PhD
Associate Professor, Department of Mathematics and Statistics · College of Liberal Arts & Sciences | Villanova University
Michael Posner, PhD, PStat®, is an expert on statistical analysis for medical and health care data, including Medicare overpayment.
Data Science Statistics Education Methods Observational Studies Biostatistics Statistics
Lillian Cassel, PhD
Professor of Computing Sciences | College of Liberal Arts and Sciences · Villanova University
Lillian N. Cassel, PhD, is an expert on information storage, classification, retrieval and networking.
Digital Libraries Web-based Information Retrieval Data Science Education Women in Computer Science
Gregory La Blanc
Lecturer| Distinguished Teaching Fellow · Haas School of Business, University of California, Berkeley
Data Analytics Blockchain Complex adaptive systems Behavioral law and economics Alternative Investment Strategies
Edd Wilder-James
VP Strategy · Silicon Valley Data Science
Expert in emerging technologies and how they change the world, specializing in big data & data science
Emerging Technologies Future of It Data Science Big Data Open Source
M. Ehsan Hoque
Asaro Biggar Family Fellow in Data Science, Assistant Professor of Computer Science, and Interim Director, Goergen Institute for Data Science · University of Rochester
M. Ehsan Hoque is designing and implementing new algorithms to sense subtle human nonverbal behavior
Data Science Human Nonverbal Behavior Interactive Machine Learning Human-Computer Interaction Computer Vision
Stan Ahalt
Faculty · UNC at Chapel Hill
Director, Renaissance Computing Institute and Professor, Department of Computer Science
Data Analysis High Performance Computing Data Science Public-Private Partnerships Signal Processing
Henrik Christensen
Director, Contex Robotics Insitute · UC San Diego
Henrik Christensen is a national policy leader for the field of robotics and has testified before Congress on the subject.
Artificial Intelligence Human Robot Interaction Cognitive Robotics Robotics Autonomous Vehicles
Warren Shiau
Research Vice-President, AI & Analytics · International Data Corporation (IDC)
Warren Shiau is a Research Vice-President, specializing in AI & Analytics at IDC Canada.
Artifical Intelligence Quantitative Surveying Market assessment and segmentation Message and value proposition testing Thought leadership research
David Bader
Distinguished Professor, Computer Science · New Jersey Institute of Technology
Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity
Computational Genomics Applications in Cybersecurity Data Science High-Performance Computing Massive-Scale Analytics
Adrian Gardiner
Associate Professor · Georgia Southern University
Adrian Gardiner's research interests cover psychological issues in information systems
Data Analysis Decision Support Systems OLAP Data Management
Pascal Van Hentenryck
Professor, Russel Chandler III Chair, industrial and systems engineering · Georgia Tech - COE
Pascal Van Hentenryck is an expert in Artificial Intelligence, Data Science, and Operations Research.
Data Engineering Analytics and Machine Learning Energy Systems Data Science Artifical Intelligence
Arjun Krishnan
Assistant Professor · Michigan State University
Arjun Krishnan develops and applies computational data-driven approaches to unravel how our genome relates to health and disease.
Precision Medicine Big Data Genome-wide molecular networks Computational Biology Machine Learning
Grover Righter
Guerrilla Marketing Scientist · Lever10
Sheeple Antidote! At Lever10, developing creative and effective B2B marketing initiatives harness the evolving world of online media
Integrated Marketing Demand Generation Lead Generation Online Advertising Science-Based Marketing
Carlos Dr. Forlenza
Managing Director · eisc European Institute of Social Capital
Managing Director for the Americas at eisc European Institute of Social Capital
Executive Data Science Big Data Management Human Capital Leadership Consulting
David Gotz, Ph.D.
Associate Professor, School of Information and Library Science, and Assistant Director, Carolina Health Informatics Program (CHIP) · University of North Carolina at Chapel Hill
Conducts research related to the study and development of visual methods for information analysis and communication.
Medical Informatics Research Multimedia Communications Visual Analytics Pattern Analysis Data Tracking
Lukasz Kurgan, Ph.D.
Robert J. Mattauch Endowed Professor and Vice Chair of Computer Science · VCU College of Engineering
Data scientist specializing in high-throughput structural bioinformatics of proteins & small RNAs.
Structural Bioinformatics Intrinsically Disordered Proteins Protein-ligand(drug) interactions Computer-aided molecular modeling Big Data Analysis
Sue Metzger
Professor of the Practice, Information Systems; Faculty Director, VU Women in Tech | Villanova School of Business · Villanova University
Sue Metzger, MS, is an expert in advancing women in technology, mobile app development and entrepreneurship, and enterprise computing.
Business Advancing Women in Technology Mobile Application Development and Entrepreneurship Enterprise Computing Including the Cloud Collaborative Media
Joan B. Rose
Homer Nowlin Chair in Water Research, Dept of Fisheries and Wildlife · Michigan State University
International expert in water and public health microbiology, studies viruses, source tracking and protozoa in water with new tools.
Wastewater Treatment and Reuse Microbial Source Tracking Quantitative Microbial Risk Assessment Public Health Microbiology Environmental Virology
Sameer Srivastava
Associate Professor | Ewald T. Grether Chair in Business Administration and Public Policy | Co-Director, Computational Culture Lab | Co-Director, Berkeley Culture Initiative · Haas School of Business, University of California, Berkeley
Pioneering the use of computational methods to study culture and cognition
Culture and Cognition Organizational Sociology Organizational Theory Network Analysis Economic Sociology
Michael Brodie
Visiting Scholar Harvard University · Harvard University
Michael Brodie is an expert in research and industrial practice in data science and databases.
Data Science Databases Multi-Disciplinary Problem Solving Industrial Practice Distributed Systems