AI Symposium Keynote Speakers

Aneesh Chopra

Co-founder and president, CareJourney; former CTO, U.S. Government 

Aneesh Chopra is the President of CareJourney, an open data and analytics platform delivering a trusted, transparent provider ratings system anchored on value-based care measures. He served as the first U.S. CTO (2009-2012) and authored “Innovative State: How New Technologies Can Transform Government” (2014). He serves on the Boards of IntegraConnect, UpStream Care, Virginia Center for Health Innovation, and Chairs the George Mason Innovation Advisory Council. He earned his MPP from Harvard Kennedy School and BA from The Johns Hopkins University.

Yiu Luo

Vice Chairman of Quantitative Research, Economics and Strategy, Wolfe Research

Yin Luo has been consistently top ranked in Institutional Investor magazine’s II-All America equity research survey in Quantitative Research, Portfolio Strategy, Economics, and ESG Research sectors for over a decade. Prior to Wolfe Research, Yin was a Managing Director and Global Head of Quantitative Strategy at Deutsche Bank, where over seven years he built a world-class quantitative and macro research franchise. He spent the prior 12+ years in various roles in quantitative research, fundamental research, portfolio management, investment banking, and consulting. In 2016-2018, Yin was selected to the UPstanding’s top 100 ethnic-minority executives in the US and Europe by the Financial Times. Yin holds a Bachelor of Economics degree from Renmin University of China, an MBA in Finance from University of Windsor, and a Master of Management and Professional Accounting from University of Toronto. He is a CFA charterholder, a U.S. CPA, a CGMA (Chartered Global Management Accountant), and a PStat (Professional Statistician).

Nazneen Rajani

Head of Researh, Hugging Face; Founder & CEO, Stealth

Nazneen Rajani is the founder and CEO of Collinear AI, which aims to align open-source LLMs with enterprise-specific needs. Before that, she was a Research lead at Hugging Face and worked on AI evaluation, safety, and alignment. Nazneen is on the United Nations’ AI Advisory Body along with other global experts in AI. She completed her Ph.D. in Computer Science at UT Austin and has over 40 papers published at ACL, EMNLP, NAACL, NeurIPS, and ICLR. Several media outlets, including the New York Times and Quanta magazine have covered her research.

Nicol Turner Lee

Senior Fellow, Brookings Institution

Dr. Turner Lee comes to Brookings from the Multicultural Media, Telecom and Internet Council (MMTC), a national non-for-profit organization dedicated to promoting and preserving equal opportunity and civil rights in the mass media, telecommunications, and broadband industries, where she served as vice president and chief research and policy officer. In this role, she led the design and implementation of their research, policy and advocacy agendas. Dr. Turner Lee’s most recent publications address biases in machine learning algorithms, the digital divide, 5G mobile infrastructure and telehealth. She has written extensively on the digital divide in both urban and rural areas, and the availability of local health resources, including those enabled through telemedicine. She has written a book on the topic, Digitally Invisible: How the Internet is Creating the New Underclass (Brookings Press, 2021).

Mark S. Urbanczyk

Principal, AI & data practice, Deloitte

 Over the past 20 years, Mark has collaborated with various government clients to explore emerging analytic and AI technologies and achieve innovative data driven results. Mark has led numerous digital and technology transformation efforts across the Civilian, National Security, Defense, and commercial sectors. He has also helped numerous organizations evolve their operating model to become more insight driven, including the establishment of analytics centers of excellence and Chief Data Officer (CDO) offices.

Hari Balakrishnan

Professor, MIT; co-founder, Cambridge Mobile Telematics 

2023 Marconi Prize winner

Hari Balakrishnan is the Fujitsu Professor of Computer Science at MIT. His research is in networked computer systems, with current interests in networking, sensing, and perception for sensor-equipped mobile devices connected to cloud or edge services. He has made many contributions to mobile and sensor computing, overlay and peer-to-peer networks, congestion control, Internet routing, and data management systems.

In 2010, based on the CarTel project, Balakrishnan co-founded Cambridge Mobile Telematics (CMT). CMT's mission is to make the world's roads and drivers safer. Using mobile sensing and IoT, signal processing, machine learning, and behavioral science, CMT's platform measures driving behavior to improve driving behavior and reduce risk, provides crash alerts and roadside assistance, and creates a smooth connected claims process. Today, CMT is the world's leading telematics and analytics provider, serving many millions of users in 25 countries by partnering with insurers (including powering consumer telematics programs at 21 of the top 25 US insurers), car makers, commercial mobility providers, and the public sector.

Balakrishnan received his PhD in 1998 from the EECS Department at UC Berkeley.

Andrew Chin

Head of Investment Solutions, Alliance Bernstein

Andrew Chin is Head of Investment Solutions and Sciences and a member of the firm’s Operating Committee. In this leadership role, he oversees the research, management and strategic growth of the firm’s strategic asset allocation, data science, indexing and custom beta businesses. Previously, Chin was the head of quantitative research and chief data scientist. In that capacity, he was responsible for optimizing the quantitative research infrastructure, tools and resources across the firm’s investing platforms. In 2015, Chin created and has since led the firm’s data science strategy to harness big data and leverage machine learning techniques to improve decision-making across the organization. From 2009 to 2021, he was the firm’s chief risk officer, where, in addition to his quantitative research responsibilities, he led all aspects of risk management and built a global team to identify, manage and mitigate the various risks across the organization. Chin has held various leadership roles in quantitative research, risk management and portfolio management in New York and London since joining the firm in 1997. Before joining AB, he spent three years as a project manager and business analyst in Global Investment Management at Bankers Trust. Chin holds a BA in math and computer science, and an MBA in finance from Cornell University.