Elea McDonnell Feit is an Assistant Professor of Marketing at Drexel University and a Senior Fellow of Marketing at WCAI. Her career has focused on developing new quantitative methods and bringing them into practice, first working in product design at General Motors, then commercializing new methods at the marketing analytics firm, The Modellers. She previously served as the Executive Director of WCAI, where she built the Research Opportunity program. She excels at making analytics accessible to broad audiences and has authored a book on R for Marketing Research and Analytics and a DataCamp course on Choice Modeling in R. She holds a PhD in Marketing from the University of Michigan, an MS in Industrial Engineering from Lehigh University and a BA in Mathematics from University of Pennsylvania.
Dr. Michael Ferrari is the Managing Partner at Atlas Research Innovations, where he provides clients with basic and applied bespoke research services towards a variety of scientific, technical and economic domains. Most of this work falls at the food-water-energy-infrastructure nexus, and encompasses Data Science & Analytics, Spatial Informatics, AI/Machine Learning, Financial & Physical Risk, GeoEconomics, Sensor Networks, Environmental System Science and Engineering, and Information Theory. Michael has spent two decades as a scientist, engineer and economist in the following industrial sectors: energy and agriculture; financial services, chemicals, water & natural resources, commodities & supply chain, environmental management and information technology. Dr. Ferrari earned his PhD from Rutgers (Dept. of Env. Sciences & Engineering: programs in Geophysical Fluid Dynamics and Environmental Biophysical Modeling) where his research focused on better understanding the Industrial/Environmental interface and the Earth/Space/Biosphere complex from both an information systems and an evolutionary perspective. His doctoral work in numerical modeling & applied mathematics was supported by the NASA Goddard Institute for Space Studies in Manhattan.
Saurabh Goorha has expertise in building and monetizing business information products and content analytics platforms utilizing AI, ML and NLP technology. He is Chief Product Officer at YouVisit, driving enrollment and successful student outcomes for educational institutions with content and data analytics EdTech products. Previously as SVP and global head of software products at Cision, he led portfolio of SaaS and eCommerce products delivering actionable insights from media content and data. As Vice President at PR Newswire, he led growth of analytic workflow products and custom analysis reporting business unit. As Director at Dow Jones, he expanded information products into social media and text-mining driven analytics solutions. He researched at Cornell – Social Media Lab and has been invited guest speaker at The Wharton School, Purdue University, and Pratt School of Design. He has served on the Board of Directors for the business information division of Software & Information Industry Association (SIIA). He has MS in Management Science from Cornell University.
Shawndra Hill is an expert Data Scientist and Senior Researcher in the Computational Social Science Group at Microsoft Research NYC. Prior to joining Microsoft, she was on the faculty of the Operations and Information Management Department at the Wharton School of the University of Pennsylvania. She researches the value to companies of mining data on how consumers interact with each other on online platforms, for targeted marketing, advertising, health and fraud detection purposes. Her current research focuses on the interactions between TV content and online behaviors. Her past and present industry partners included AT&T Labs Research, ClearForest, and Siemens Energy & Automation. Dr. Hill holds a B.S. in Mathematics from Spelman College, a B.E.E. from the Georgia Institute of Technology and a Ph.D. in Information Systems from NYU’s Stern School of Business.
Acclaimed for his exploration of business strategies that strengthen the understanding of customer relationships, Neil’s work is seen across numerous publications, lectures, and machine learning patents. Yet, it’s as Google’s Global Head of Customer Analytics and Chief Analytics Evangelist that he’s pushed limits even farther; pioneering new applications of analytics through customer lifetime value, marketing attribution, dynamic pricing, and content personalization in support of the company’s $90B+ advertising business. He holds an MBA from UCLA’s Anderson School of Management and a BS in Management Science from Purdue University.