

Conference Description
Exploring the Transformative Impact of AI
This event is part of the Digital Future Initiative’s inaugural Digital Innovation Conference: AI and the Future of Business, which aims to explore technology’s profound impact on business, people, purpose, and growth. Our panel of experts will examine technological breakthroughs, workplace adaptability, the dynamics of human capital and machine interaction, regulation, and outlook for the coming years.
In this AI in Finance conference, we explore the transformative impact of AI within the financial industry. From automation and banking to investments, capital markets, asset and wealth management, fintech, and beyond, our panelists will delve into the groundbreaking ways AI is reshaping the financial landscape. Explore innovations, trends, and opportunities AI is unlocking in finance, and gain valuable insights into how organizations are harnessing AI to drive growth and efficiency in the sector. We will also cover critical security, ethical, and regulatory issues associated with the integration of AI in the financial sector.
Organized by
Digital Future Initiative
Digital Future Initiative is Columbia Business School’s new think tank focused on preparing our students to lead through the next century of digital transformation while helping organizations, governments, and communities better understand, leverage, and prosper from future waves of digital disruption.

Conference Program
Friday, November 22
Location: Cooperman Commons
Geffen Hall, 645 W 130th St, New York, NY 10027
Agenda
8:20am – 9:00am | Registration & Breakfast |
9:00am – 9:05am | Opening Remarks
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9:05am – 10:05am | The Future of AI in Banking Speakers:
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10:05am – 10:30am | Qualitative vs Quantitative AI
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10:30am – 10:45am | Coffee Break, Alumni Suite (2nd Floor) |
10:45am – 11:45am | AI's Transformative Impact on Fintech Speakers:
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11:45am – 12:00pm | Break (Alumni Suite, 2nd Floor) |
12:00pm - 12:45pm | Fireside Chat Speakers:
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12:45pm – 1:45pm | Lunch, Board Rooms |
Speakers
Heather Bellini

President and Chief Financial Officer, InvestCloud
Heather Bellini brings over two decades of experience in technology and financial services to her role at InvestCloud. Before joining the company, she served as CFO at cybersecurity software firm Deep Instinct and spent nearly 10 years as a Partner and Managing Director at Goldman Sachs, where she led the Technology Research Group specializing in software equity research and analysis. A seasoned leader, Heather has overseen and led research diligence and investor education on over 20 IPOs for numerous tech companies and currently drives InvestCloud’s financial strategy, ensuring sustainable growth and value creation.
Aaron Brown

Opinion Columnist, Bloomberg & Former Chief Risk Manager, AQR
Aaron Brown spent 40 years on Wall Street as a trader, portfolio manager, head of mortgage securities and risk manager for some of the largest global financial institutions, the last ten as risk manager for AQR Capital Management. He has written books (The Poker Face of Wall Street, Red-Blooded Risk, Financial Risk Management for Dummies and A World of Chance), and many articles, including regular columns for Bloomberg and Wilmott magazine, as well as a video series, “Wrong Number” for Reason Magazine. Aaron holds an SB degree in applied mathematics from Harvard, and an MBA in finance and statistics from the University of Chicago. He splits his time between Manhattan, Las Cruces and Coronado Island.
Francesca Carlesi

Chief Executive Officer, Revolut UK
Currently CEO of Revolut in the UK, Francesca is a growth-leader and entrepreneur with almost 20 years of experience in financial services. Before joining Revolut in December 2023, she was CEO of Molo, the UK’s first digital mortgage lender, a company which she founded in 2017 and grew successfully to exit in 2023. Previously Francesca had held several senior roles in some of the largest banks in Europe, including Deutsche Bank and Barclays. She started her career in consulting and private equity at McKinsey & Co. and Bridgepoint Capital between London and Milan. She holds a PhD in Banking and Finance from the University of Rome, MBA (Hons) from Columbia Business School, Diploma from Harvard Kennedy School of Government. Francesca was nominated a Young Global Leader by the World Economic Forum in 2014.
When she is not busy with work, Francesca enjoys spending time with her two sons, playing the piano, travelling and playing any type of sport.
Xiaomo (Shawn) Liu

Executive Director, JP Morgan AI Research
Xiaomo (Shawn) Liu is an Executive Director at JP Morgan AI Research focusing on machine learning and natural language processing to improve the productivity in financial services.
Prior to JP Morgan & Chase, Xiaomo was a Director of Data Science at S&P Global and a senior research scientist at Thomson Reuters. His work has been reported by numerous news media and won industry awards for inventing AI-driven technologies such as Reuters Tracer and Westlaw Quick Check.
Xiaomo holds a PhD in Computer Science from Virginia Tech. Through his career, Xiaomo published more than 50 peer reviewed papers and 10 US patents in the area of NLP and AI.
Nan Lu

Director at BlackRock AI Labs
Nan Lu is a Director at BlackRock AI Labs. Nan focuses on Asset Strategy / Financial Engineering at BlackRock, leading efforts in equity finance, capital markets, and prime finance use cases by applying machine learning, quantitative modeling, and optimization. Over the past two years, Nan has initiated efforts to apply AI in the fundamental investment process at BlackRock. Nan has hands-on knowledge of quantitative financing and LLM driven AI development for investment industry.
Before joining BlackRock, Nan spent 15 years in Prime Brokerage at Credit Suisse, where he led development in trading, inventory management, and pricing strategies serving hedge fund clients. During this time, the technology used included quantitative modeling, big data, and machine learning.
Nan graduated with a B.S. in Physics from Tsinghua University in Beijing, China, before attending the University of Maryland at College Park, where he earned an M.S. in Electrical and Computer Engineering. Nan is also a CFA charter holder and volunteers as a mentor for the CFA financial analyst competition, which is participated in by students from business schools.
Sunil Madhu

Founder and CEO, Instnt
Sunil is the founder and CEO of Instnt (instnt.ai), an AI for fraud loss insurance. He's a serial entrepreneur and a security architect by profession. He has spent over 30 years innovating in the Identity and Access Management, Security, Governance, and Risk and Compliance markets.
He's recognized as a Top 100 Fintech Influencer in the US by Forbes and CB Insights. Previously, Sunil was the Founder & CEO of Socure, now a $5 billion business and a leader in AI-driven fraud prevention and digital identity verification, that powers the top banks, fintechs, card issuers, and e-commerce companies and state governments.
An avid futurist and technologist, he holds a master's degree in Management Information Systems from Glasgow Caledonian University and a Bachelor’s degree with Honors in Computer Science from Strathclyde University in the UK. He's got several patents under his name and has helped set risk and compliance industry standards through OASIS, NIST and W3C.
Jeff McMillan

Head of Firmwide Artificial Intelligence, Morgan Stanley
Jeff McMillan serves as Head of Firmwide Artificial Intelligence. In this role, McMillan works across the Firm to help install and ensure appropriate AI strategy and governance, partnering with the various business and infrastructure areas to identify and prioritize AI opportunities.
Previous to this role, McMillan served as Head of Analytics, Data, and Innovation for Morgan Stanley Wealth Management, where he played a key role in driving the technological evolution of the business. Jeff has held a variety of leadership roles at Morgan Stanley, as well as other financial services firms in the areas of Investment Products, Research, Operations, Digital Strategy and Technology.
Jeff is a graduate of the United States Military Academy at West Point where he earned a BS in economics. Upon graduation, he served on active duty as an armor officer and scout platoon stationed in South Korea and Fort Knox, KY. Jeff is a 2-time Ironman Triathlete and a competitive boxer with a lifetime record of 1-0.
Vasant Prabhu

Former Vice Chairman & Chief Financial Officer, Visa Inc.
Vasant Prabhu retired as Vice Chairman & CFO of Visa, Inc in September, 2023. He had been Vice Chairman since 2019, and CFO since 2015. Vasant has been CFO at several large US public companies spanning multiple industries including, financial technology, media, travel, consumer retail and consumer goods. He was EVP & CFO of NBC Universal (2014-2015), Vice Chairman & CFO at Starwood Hotels & Resorts (2004-2014), EVP & CFO, President e-commerce at Safeway (2000-2004).
From 1998-2000, Vasant was President of the Information & Media Group at The McGraw-Hill Companies. He was CFO of various divisions of PepsiCo (1992-1998), including Pepsi-Cola International and PepsiCo Restaurants International. His tenure at PepsiCo included stints overseas in Europe and Latin America. He started his career at Booz, Allen &Hamilton (1983-1992) where he was a Partner serving media and consumer goods companies.
Vasant is a member of the Board of Directors at Delta Airlines and Intuit. He is on the Board of Kenvue, Johnson &Johnson's Consumer Health spin-off, where he Chairs the Audit Committee. He is also a member of the Board of Trustees of the Brookings Institution. In the past, Vasant has served on the Boards of Mattel and Knight Ridder, as well as a Trustee at The Nature Conservancy California and the Asian Art Museum of San Francisco.
Vasant holds an MBA from the Booth School of Business at the University of Chicago and a BTech in Mechanical Engineering from the Indian Institute of Technology, Mumbai (India).
Vasant lives in Greenwich, CT with his wife Sumati and their dog Poppy.
Mike Schuster

Head of AI Core, Two Sigma
Mike Schuster joined Two Sigma in New York as the head of the AI Core team in 2018 and Managing Director where he has been working with a growing team of AI researchers on challenging machine learning problems for the financial space. Previously he was part of the Google Brain team in California, where he co-led the development of the new Google Neural Machine Translation system (featured in the New York Times Magazine article “The Great A.I. Awakening”), worked on large language models and human-like speech synthesis. Earlier at Google he did research and development on all aspects of speech recognition on Android including launching the first versions of the Japanese and Korean speech recognition models, working on YouTube recommendation systems, and many other machine learning related projects. He was also an early contributor to Google’s open-source machine learning toolkit TensorFlow. Mike’s 25+ year professional career brought him to Advanced Telecommunications Research Laboratories in Kyoto, Japan, Nuance in the U.S., and NTT in Japan. Mike holds a Ph.D. in Information Science from the Nara Institute of Science and Technology, Japan and a Master’s in Electrical Engineering from the Gerhard-Mercator University, Germany.
Amanda Stent

Head of AI Strategy & Research, Bloomberg
Amanda Stent is the head of AI Strategy & Research in the Office of the CTO at Bloomberg. They have worked in several roles in industry and academia. Most recently, they served as inaugural director of the Davis Institute for AI at Colby College from 2021-2024. From 2016-2021, they served as NLP Architect in Bloomberg's Office of the CTO, a role in which they helped the company achieve and maintain technical excellence and broad applicability of NLP solutions, as well as architected and coordinated the development of new Bloomberg Terminal-based and Enterprise product offerings that use NLP.
They previously held positions as Director, Research and Principal Research Scientist at Yahoo, as Principal Member of the Technical Staff at AT&T Labs — Research, and as associate professor in the Computer Science Department at Stony Brook University in Stony Brook, NY. Amanda holds a Ph.D. in computer science from the University of Rochester, has authored or co-authored over 100 papers on natural language processing, and is co-inventor on over 35 patents.
Bing Xiang

Head of AI Research, Goldman Sachs
Bing Xiang is Head of Artificial Intelligence (AI) Research within Engineering. He joined Goldman Sachs in 2023 as a managing director.
Prior to joining the firm, Bing served as a director of Applied Science at Amazon Web Services (AWS), leading AI lab teams across several countries. He was responsible for a dozen of cloud-based AI services in the area of Generative AI, Large Language Model (LLM), code generation, search, question answering, recommendation, forecasting and business analytics. Prior to Amazon, Bing worked at IBM Research, Thomson Reuters and BBN Technologies on various AI, machine learning and natural language processing issues. He has more than 20 years of research and development experience. Bing has published more than 100 papers on AI and machine learning and has numerous patents granted. He serves as an area chair and program committee member at top-tier conferences.
Bing received a BS degree in Electronics from Peking University in 1995, an MS degree in Signal and Information Processing from Peking University in 1998 and a PhD degree in Electrical and Computer Engineering from Cornell University in 2003.
Moderators
Paul Glasserman

Jack R. Anderson Professor of Business, Columbia Business School
Professor Glasserman serves as the Jack R. Anderson Professor of Business in the Decision, Risk, & Operations division, where his research and teaching address risk management, quant finance, Monte Carlo simulation, statistics and operations. Prior to joining Columbia, Glasserman was with Bell Laboratories; he has also held visiting positions at Princeton University, NYU, and the Federal Reserve Bank of New York. In 2011-2012, he was on leave from Columbia and working at the Office of Financial Research in the U.S. Treasury Department, where he continues to serve as a part-time consultant.
Paul was named the 2020 Financial Engineer of the Year by the International Association for Quantitative Finance. His publications include the book Monte Carlo Methods in Financial Engineering (Springer, 2004), which received the 2006 Lanchester Prize and the 2005 I-Sim Outstanding Publication Award. Paul is a past recipient of the National Young Investigator Award from the National Science Foundation (1994 - 99), IBM University Partnership Awards (1998 - 2001), the TIMS Outstanding Simulation Publication Award (1992), the Erlang Prize (1996), an IMS Medallion from the Institute of Mathematical Statistics (2006), and a fellowship from the FDIC Center for Financial Research (2004). He received the 2004 Wilmott Award for Cutting-Edge Research in Quantitative Finance and Risk Magazine's 2007 Quant of the Year Award, and he received a U.S. patent for an option pricing method. He was named an INFORMS Fellow in 2008. He is also a recipient of the Dean's Award for Teaching Excellence (1994, 2000) and the Saul Gass Expository Writing Award (2016). Paul serves on the editorial boards of Operations Research, Mathematical Finance, and Stochastic Systems.
Paul was senior vice dean of Columbia Business School in 2004-2008 and served as interim director of the Sanford C. Bernstein & Co. Center for Leadership and Ethics in 2005-2007. He chairs the Financial and Business Analytics center in Columbia’s Data Science Institute. He holds a Bachelor of Arts in Mathematics from Princeton University and a PhD in Applied Mathematics from Harvard University.
Daniel Guetta

Associate Professor of Professional Practice, Columbia Business School, Decision, Risk, and Operations Division
Daniel Guetta is Associate Professor of Professional Practice and the Director of the Center for Pricing and Revenue Management and Business Analytics Initiative at Columbia Business School. His research focuses on the ways companies can harness the power of data and analytics to drive value.
He teaches classes in business analytics, including data science, pricing, supply chain management, and technical tools such as python and cloud computing. He has authored award-winning case studies in the area with a number of companies, and co-authored "Python for MBAs".
Prior to joining the faculty at Columbia, he was a data scientist and engagement manager at Palantir Technologies, where he worked with clients around the world in fields ranging from finance to pharmaceuticals to help them solve their hardest problems using data. He completed his undergraduate studies in physics and mathematics at Cambridge and MIT, and holds a PhD in Operations Research from Columbia Business School.
Ciamac Moallemi

William von Mueffling Professor of Business, Columbia Business School, Decision, Risk, and Operations Division
Ciamac C. Moallemi is the William von Mueffling Professor of Business in the Decision, Risk, and Operations Division of the Graduate School of Business at Columbia University, where he has been since 2007. He also develops quantitative trading strategies at Bourbaki LLC, a quantitative investment advisor. A high school dropout, he received S.B. degrees in Electrical Engineering & Computer Science and in Mathematics from the Massachusetts Institute of Technology (1996).
He studied at the University of Cambridge, where he earned a Master of Advanced Study degree in Mathematics (Part III of the Mathematical Tripos), with distinction (1997). He received a Ph.D. in Electrical Engineering from Stanford University (2007). Prior to his doctoral studies, he developed quantitative methods in a number of entrepreneurial ventures: as a partner in a $200 million fixed-income arbitrage hedge fund and as the director of scientific computing at an early-stage drug discovery start-up. He holds editorial positions at the journals Operations Research and Management Science.
He is a past recipient of the British Marshall Scholarship (1996), the Benchmark Stanford Graduate Fellowship (2003), first place in the INFORMS Junior Faculty Paper Competition (2011), and the Best Simulation Publication Award of the INFORMS Simulation Society (2014). His research interests are in the area of the optimization and control of large-scale stochastic systems and decision-making under uncertainty, with an emphasis on applications in financial engineering.
Kent Daniel

Jean-Marie Eveillard/First Eagle Investment Management, Professor of BusinessFinance Division
Kent Daniel is the Jean-Marie Eveillard/First Eagle Investment Management Professor of Business in the Finance Division at the Graduate School of Business at Columbia University. From 1996 to 2006, Kent was at the Kellogg School of Management at Northwestern University, where he was the John and Helen Kellogg Distinguished Professor of Finance (on leave from 2004-2006). Previously, he served on the faculties of the University of Chicago and the University of British Columbia.
Between 2004 and 2010, Kent was with the Quantitative Investment Strategies group at Goldman Sachs Asset Management. In 2005, he became a managing director and head of the QIS equity research effort. He became a co-chief investment officer in 2009.
Kent's academic research, both theoretical and empirical, has been primarily in the areas of behavioral finance and asset pricing. In addition to other awards, his academic papers received the 1997 and 1999 Smith-Breeden awards for the best paper in the Journal of Finance. His papers have been reprinted in several books. He also received the Sidney J. Levy Teaching Award for 1996-1997 and 2000-2001 at the Kellogg School.
Co-Sponsors
