Machine learning, technology, and AI have the power to influence and impact policymaking. Alumni panelists will discuss their careers in AI and how new technologies will shape politics and policymaking in the future.
The Princeton in Washington (PIW) program brings students, alumni and experts together for exclusive events, to foster connections and provide opportunities to learn about alumni career paths. This summer, all events will be virtual.
This event is open to all current Princeton undergraduates and graduate students.
Email Satomi Chudasama (email@example.com) to request accommodations for this event at least 15 working days in advance.
Alumni Panelist Bios
Timothy Hwang '14, Founder and CEO of FiscalNote
Tim is currently the Founder and CEO of FiscalNote. The company owns media and news company CQ Roll Call Group, which it acquired from The Economist Group in 2018 and creates a technology platform that combines award-winning journalism along with products and services that provide access to large quantities of data, news, and analysis for all levels of government. The global company with offices across DC, NYC, Baton Rouge, Seoul, India and Brussels is the largest privately held company in the legal analytics and regtech space and powers over 4,000 of the world's largest and most influential corporations, associations, non-profits, and law firms, creating a more open and transparent society through data. With Hwang's technology and capital partners from the likes of Mark Cuban, Jerry Yang, Steve Case, NEA, Renren and others, FiscalNote is revolutionizing access to legislation, regulations, and court cases for organizations around the world
David Robinson '04, Visiting scientist in the AI Policy and Practice Initiative, Cornell University
David Robinson is a Visiting Scientist in the AI Policy and Practice Initiative, in Cornell's College of Computing and Information Science. He studies the ways that algorithms, ethical commitments, and human identities influence and shape each other. He's currently working on a book about the ethics of the algorithm that matches American transplant patients with donated kidneys. Earlier in his career, he cofounded Upturn, an NGO that advances equity and justice in the design, governance, and use of digital technology. From 2007-2009, he served as the inaugural Associate Director of Princeton's Center for Information Technology Policy.
Dr. Nandi Leslie *02, *05, Engineering fellow, Raytheon Technologies
Dr. Nandi Leslie is an Engineering Fellow at Raytheon Technologies with over twenty years of experience as an applied mathematician. The Engineering Fellow distinction is the highest technical honor one can receive at Raytheon. Her research interests are focused on artificial intelligence, machine learning, and cybersecurity. Last year, Dr. Leslie was the award recipient for the 2020 Black Engineer of the Year Award for Outstanding Technical Contribution in Industry.
Dr. Leslie has helped Raytheon win over $300 million in Department of Defense (DoD) contracts, since 2015. She has published over 55 journal and conference articles, and she has given over 50 research presentations at world-renown national and international conferences and panels, including, but not limited to, North Atlantic Treaty Organization (NATO), Society for Industrial and Applied Mathematics, and Institute of Electrical and Electronics Engineers.
Currently, in addition to Dr. Leslie’s work at Raytheon, she serves as an Advisory Board Member for the Howard University, Center of Excellence in Artificial Intelligence and Machine Learning, and she is a Founding Member of the National Science Foundation and Society of Women Engineers jointly-funded Women of Color in Engineering Council. Furthermore, she is an Instructor and Graduate Student Research Advisor in the Applied and Computational Mathematics Program at Johns Hopkins University, and she also is a Visiting Professor at the African Institute for Mathematical Sciences in Senegal, Africa.
Before joining Raytheon, from 2007 to 2015, she led and contributed to DoD projects on modeling and simulation, sensor performance, and cybersecurity for the U.S. Navy and Office of the Secretary of Defense at Systems Planning and Analysis, Inc. In this role, she served as Program Manager and individual contributor developing mathematical and computational modeling approaches for submarine force operations and cybersecurity. Dr. Leslie earned her Ph.D. in Applied and Computational Mathematics from Princeton University in 2005. She graduated magna cum laude with her B.S. in Mathematics from Howard University in 1999.