#

JUDGES

Rachel Greenstadt 

Associate Professor, NYU Tandon School of Engineering 

Rachel Greenstadt holds a bachelor’s degree in Computer Science (2001) and master’s degrees in Electrical Engineering and Computer Science (2002) from MIT, as well as a Ph.D. (2007) in Computer Science from Harvard. Her honors have included membership in the DARPA Computer Science Study Group, a U.S. Department of Homeland Security Fellowship, a PET Award for Outstanding Research in Privacy Enhancing Technologies, and a National Science Foundation CAREER Award.

Greenstadt's research has focused on designing more trustworthy intelligent systems — systems that act not only autonomously, but also with integrity, so that they can be trusted with important data and decisions. She takes a highly interdisciplinary approach to this research, incorporating ideas from artificial intelligence, psychology, economics, data privacy, and system security. Continued here...


Samantha Kappagoda 

Co-Lead Investigator, RiskEcon Lab @ Courant Institute of Mathematical Sciences; NYU Co-Managing Member, Numerati Partners LLC

Samantha Kappagoda is Co-Lead Investigator at RiskEcon ® Lab for Decision Metrics @ NYU Courant Institute of Mathematical Sciences, established in 2011 to focus primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control.

Samantha is also co-Managing Member of Numerati ® Partners LLC, which coordinates a data analytics investment and development ecosystem, with a mission to curate the next generation of scalable data-intensive risk and liability management enterprises by providing resources critical to accelerating the development of nascent leading-edge inferential surveillance, monitoring, and predictive analytics technologies for deployment in Risk Technology (RiskTech).

David K.A. Mordecai

Lead Investigator, RiskEcon Lab @ Courant Institute of Mathematical Sciences, NYU; Co-Managing Member, Numerati Partners LLC

David K.A. Mordecai, PhD is lead investigator at the RiskEcon® Lab for Decision Metrics, established in 2011, Visiting Scholar at Courant Institute of Mathematical Sciences at New York University (NYU) and Co-Managing Member of Numerati Partners, LLC, an R&D ecosystem manager. He has served as an adjunct instructor of applied mathematics at Courant, as well as an Adjunct Professor and an active member of the working group for the NYU Center for Data Science (NYUCDS) at its inception. He has been a Fellow and a member of the Advisory Board of the Mathematical Finance program at Courant. From 2012 to 2015, he held a joint appointment at Stern Graduate School of Business, as a Senior Research Scholar for Computational Economics of Commerce, Law and Geo-Politics. Since 2013, he has served as the first Scientist-in-Residence at FinTech Innovation Lab, an accelerator platform for early and growth stage technology firms, organized by The Partnership Fund for New York City in conjunction with Accenture and a consortium of global financial institutions and venture capital firms. He is a member of the Board of Governors for the New York Academy of Sciences, and a Vice-Chair of both the AI and Robotics Law committee and the Nanotechnology committee of the ABA Sci-Tech Chapter. He earned a Ph.D. with concentrations in Econometrics/Mathematical Statistics and Economics/Industrial Organization from the University of Chicago, and an M.B.A. in Finance from NYU Stern School of Business.


Organizers

Siddharth_Garg_headshot.png

Siddharth Garg, Faculty Co-lead

NYU Tandon School of Engineering, NYU Center for Cybersecurity

Siddharth Garg received his Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2009, and a B.Tech. degree in Electrical Enginerring from the Indian Institute of Technology Madras. He joined NYU in Fall 2014 as an Assistant Professor, and prior to that, was an Assistant Professor at the University of Waterloo from 2010-2014. His general research interests are in computer engineering, and more particularly in secure, reliable and energy-efficient computing. Bio continued...


Bredan_Dolan-Gavitt.png

Brendan Dolan-Gavitt, Faculty Co-lead

NYU Tandon School of Engineering, NYU Center for Cybersecurity

Brendan Dolan-Gavitt is an Assistant Professor in the Computer Science and Engineering Department at NYU Tandon School of Engineering. He holds a Ph.D. in computer science from Georgia Tech (2014) and a BA in Math and Computer Science from Wesleyan University (2006)...Bio continued...


Ben_Tan_Headshot.png

Benjamin Tan, Competition Coordinator 

Benjamin Tan is a Post-Doctoral Associate at the New York University Center for Cybersecurity. He was awarded BE(Hons) and Ph.D. degrees in Computer Systems Engineering from the University of Auckland, New Zealand, in 2014 and 2019, respectively. His current research interests include security and its implications on embedded systems, digital system design, and more recently, machine learning in CAD.

*


Kang_Liu_Headshot.png

Kang Liu, Student Co-Lead 

Kang Liu is the recipient of the Ernst Weber Fellowship for his Ph.D. program in the Department of Electrical and Computer Engineering, New York University since 2016. Prior to joining NYU, he was a software engineer in Evertz Microsystems Ltd., Burlington, Canada. His research interests include security and privacy in deep neural networks.


Akshaj_Veldana.png

Akshaj Kumar Veldanda, Student Co-lead

Akshaj is a first-year PhD student at NYU Tandon School of Engineering, advised by Siddharth Garg. Akshaj earned a MEng in Mechanical Engineering at Texas A&M University where he conducted research in additive manufacturing and characterization of polymer composites.