Events

Larry Lerner, Partner, QuantumBlack-McKinsey
Larry advises financial institutions on advanced analytics, data transformations, and scaling of digital and analytics capabilities. In addition, he helps them to develop strategies for risk and fraud analytics and achieve insight-driven product and customer growth. His recent work includes helping clients improve their advanced-analytics programs, launch digital banks and data businesses, and create centralized analytics environments.

Larry is a frequent author and speaker, presenting often on topics ranging from advanced analytics to analytics transformations. Until recently, he led the global financial-services and risk-analytics practices at a global management-consulting and professional-services firm. Prior to that, he held leadership positions at a number of financial institutions, where he led statistics and data-analysis teams as well as product development and credit policy for a US credit card business.

Bryce Hall, Solution Associate Partner, QuantumBlack-McKinsey
Bryce advises organizations on digital and analytics transformations, and leads the development of McKinsey’s proprietary digital and analytics assessment tools, which include the analytics quotient and digital quotient. He also coled the development of McKinsey’s digital- and analytics-transformation playbook. His publications have appeared in the Harvard Business Review and MIT Sloan Management Review, and been cited in Forbes, Entrepreneur, and the Wall Street Journal.

In his work helping clients develop meaningful insights and create competitive advantage, Bryce focuses on topics that include strategy, organization and talent, agile delivery and culture, data, technology, models and tools, and adoption and scaling. He serves companies across industries, and has particular expertise in consumer, healthcare, and the financial-services sector.

Moderated by Nicholas Lovegrove, Professor of Practice, McDonough School of Business Management Area, Former Senior Partner at McKinsey

Introduction by Alberto G Rossi, Professor of Finance and Director of the AI, Analytics, and Future of Work Initiative, McDonough School of Business

Sanjay Patnaik, Director – Center on Regulation and Markets Bernard L. Schwartz Chair in Economic Policy, Development Fellow – Economic Studies

Anton Korinek, David M. Rubenstein Fellow – Economic Studies, Center on Regulation and Markets

Susan Athey, The Economics of Technology Professor – Stanford Graduate School of Business

David Autor, Professor of Economics and Margaret MacVicar Faculty Fellow – Massachusetts Institute of Technology

Prasanna Tambe , Associate Professor of Operations, Information and Decisions – The Wharton School, The University of Pennsylvania

Alberto Rossi, Professor and Director of the AI, Analytics, and Future of Work Initiative – Georgetown University

• Presenter: Alberto Rossi, Professor and Director of the AI, Analytics, and Future of Work Initiative, Georgetown University McDonough School of Business
• Discussant: Michael Reher, Assistant Professor of Finance, UC San Diego Rady School of Management
• Discussant: Scott Smith, Director of Advice Relationships, Cerulli Associates

• Alberto Rossi, Professor and Director of the AI, Analytics, and Future of Work Initiative, Georgetown University McDonough School of Business

• Igor Zaks is the Co-Founder and Chief Risk Officer of 40Seas, a fintech platform that digitizes and simplifies cross-border trade financing for SMEs around the globe. Igor is a seasoned finance professional, with extensive experience in banking, blue-chip corporates and consulting. Prior to joining the 40Seas founding team, Igor held senior banking roles at Citibank, Daiwa and Eurohypo/Commerzbank, and served as a senior executive at Dell on the financing and risk management teams. He was also a Managing Partner at SCF Capital, where he played a key role in launching the first supply chain financing platform, and is a seasoned consultant to many companies in the fintech space. Igor is a frequent speaker at major corporate events and sits on the advisory/editorial boards of TRF News and World of Open Account. Igor holds a Sloan Fellowship MSc (with distinction) from the London Business School and a Global Professional LLM from the University of Toronto.

Moderated by Volodymyr Babich, Dean’s Professor of Operations and Information Management
Introduction by Alberto G Rossi, Professor of Finance and Director of the AI, Analytics, and the Future of Work Initiative

• Sanjay Patnaik, Director – Center on Regulation and Markets Bernard L. Schwartz Chair in Economic Policy Development Fellow – Economic Studies
• Andrew Ng, Founder – DeepLearning.AI Co-founder and Chairman – Coursera General Partner – AI Fund
• Alberto Rossi, Professor and Director of the AI, Analytics, and Future of Work Initiative – Georgetown University
• Loni Mahanta, Nonresident Fellow – Economic Studies, Center on Regulation and Markets
• David Estrada, Chief Legal & Policy Officer – Nuro
• Morgan Frank, Assistant Professor – University of Pittsburgh
• Gad Levanon, Chief Economist – Burning Glass Institute

• Kristian Hammond, Bill and Cathy Osborn Professor of Computer Science, Northwestern University
• Daniel Ho, William Benjamin Scott and Luna M. Scott Professor of Law, Stanford University, CASBS faculty fellow (2017-22)
• Jennifer Logg, Assistant Professor of Management, Georgetown University
• Moderated by Jacob Ward, Correspondent, NBC News, CASBS fellow (2018-19)

• Jim Manzi, Founder of Foundry.ai and author of “Uncontrolled”
• Matthew Breitfelder, Global Head of Human Capital and Senior Partner at Apollo
• Prasad Setty, Vice President of People Operations at Google
• Fiona Greig, Managing Director and the Co-President at the JPMorgan Chase Institute

Moderated by Alberto Rossi, Provost’s Distinguished Associate Professor of Finance

• Noah Castelo, University of Alberta: Noah is an assistant professor in the marketing group at the University of Alberta School of Business. His research focuses on the psychology and marketing of artificial intelligence, and he teaches consumer behavior in the B.Comm. program. He received his PhD from Columbia Business School. You can follow him on Twitter or visit his website for more information.
• Jennifer M. Logg, Georgetown University: Jennifer is an Assistant Professor of Management at Georgetown University’s McDonough School of Business. Prior to joining Georgetown, she was a Post-Doctoral Fellow at Harvard University. She received her PhD from the Management of Organizations department at the University of California, Berkeley’s Haas School of Business. Jennifer’s work examines why people fail to view themselves and their work realistically. Her research focuses on how individuals can assess themselves and the world more accurately by using advice and feedback produced by algorithms (scripts for mathematical calculations). You can visit her website for more information.
• Hatim A. Rahman, Northwestern University: Hatim is an Assistant Professor of Management and Organizations at the Kellogg School of Management, Northwestern University. Prior to joining Kellogg, Hatim received his PhD and Masters in Management Science and Engineering from Stanford University and his B.S. in Business Administration from the University of Illinois at Urbana-Champaign. His research investigates how artificial intelligence, undergirded by algorithms, is impacting the nature of work and employment relationships in organizations and labor markets. Hatim’s work has received several awards, including from INFORMS, Academy of Management, Psychology of Technology Institute, and ICIS.
• Teodora Tomova Shakur, New York University: Teodora is a 5th-year PhD Candidate at New York University, Stern School of Business. Prior to joining NYU Stern, she gained industrial experience as an organizational consultant and HR professional, giving a start to her career as a researcher. Teodora’s research interests focus on unpacking the motivations of network tie favoritism (e.g. nepotism, cronyism) and the implications of such favoritism on organizational diversity and equality. Additionally, Teodora is interested in exploring the role of automation in hiring processes and the perceived utility of algorithmic recommendations in comparison to incumbent employees’ hiring recommendations for organizational diversity, performance, and new hire socialization.
• Heather Yang, Massachusetts Institute of Technology: Heather is an organizational psychologist and PhD candidate at MIT’s Sloan School of Management, where she has been recognized as an MIT Presidential Fellow. Her research is on how social information embedded in novel technologies (such as artificial intelligence) influences their use and the psychological factors that dissuade or engage users from algorithmic advice. She is currently on the job market for tenure-track faculty positions in management departments. You can follow her on Twitter or visit her website for more information.
• Michael Yeomans, Imperial College: Michael is currently an Assistant Professor at Imperial College Business School. His research focuses on the digital transformation of conversation. He uses methods from machine learning and natural language processing to understand and improve the ways that people make decisions in their social interactions. You can follow him on Twitter or visit his website for more information.
• Moderated by PTI co-directors Nate Fast (USC) and Juliana Schroeder (UC Berkeley).