(Joseph) Bryan Bennett
Currently teaching:
Data Visualization, Communication, and Storytelling
Bryan Bennett is a seasoned educator with experience developing curriculum and delivering adult education courses in both online and in-person classroom environments. A proven education program leader with experience managing and overseeing the expansion of large-scale programs, Bennett is a skilled project manager with a history of successfully managing and executing deliverables for multimillion-dollar implementations on time and on budget. His exceptional leadership and team building skills have resulted in committed and empowered teams. A thought leader with work recognized by the Gartner Group, he has written a white paper published in an international journal. Bennett is a national presenter in the areas of consumer insights, executive leadership, customer relationship management, and healthcare technology. He received his MBA from Northwestern University’s Kellogg School of Management.
Elbert Hearon is a marketing analytics manager with Discover Financial Services. Hearon has extensive experience building, implementing, and using predictive analytics for marketing, operations, and risk management in the financial services and credit industries. He has also taught quantitative courses in mathematics, statistics, and operations research at both the undergraduate and graduate level. Hearon holds an MS in applied statistics from DePaul University, an MBA from the University of Chicago, and a bachelor’s degree in mathematics from Indiana University–Bloomington.
Lance Levenson is a Senior Data Scientist and Analytics Team Lead at Walmart Labs where he is responsible for architecting, designing, and implementing enterprise level machine learning and analytics products and services for various internal business groups across the globe. Prior to Walmart, he was an analytics consultant working with various trading firms and hedge funds in the Chicago and New York areas, building and implementing quantitative and predictive models using massive financial datasets. Over the course of his career, Levenson has developed many tactical and strategic investment initiatives including relative value strategies, commodity and energy market-making algorithms, fixed income basis/duration/curve trades, real-time dynamic portfolio management frameworks, and advanced-options market-making algorithms. He is an experienced instructor of quantitative disciplines at both the undergraduate and graduate levels, having held instructor positions in the fields of physics, astronomy, mathematics, and methods of teaching mathematics. Levenson also teaches the Advanced Modeling and Risk Analytics courses in the Predictive Business Analytics Program, where he received the 2015 Distinguished Teaching Award. He holds bachelor’s degrees in Astrophysics and Mathematics from Arizona State University and a master’s degree in Financial/Applied Mathematics from the University of Chicago.