The TILOS Team

Leadership & Management

Yusu Wang

Director and PI of TILOS (2023-present).
Associate Director of Research (2021-2023).
University of California, San Diego.
Foundations team.
Professor, Halıcıoğlu Data Science Institute.
Faculty co-lead for Foundations of Data Science CoP at Translational Data Analytics Institute at the Ohio State University (2018-2020).
NSF CAREER Award and DOE ECPI Award.
Member of the Computational Geometry Steering Committee and SIGACT CATCS Committee.

Arya Mazumdar

Deputy Director and Co-PI of TILOS.
Associate Director of Research.
University of California, San Diego.
Foundations team co-lead.
Associate Professor, Halıcıoğlu Data Science Institute.
NSF CAREER Award.
Jack K. Wolf Paper Award.
EURASIP JASP Best Paper Award.
Distinguished Dissertation Award.
Area Editor of Now Publishers Foundation and Trends Series.
Associate Editor of IEEE Transactions on Information Theory.
Vijay Kumar

Vijay Kumar

Associate Director of Translation and Chair of Translation Committee.
University of Pennsylvania.
Robotics team co-lead.
Nemirovsky Family Dean and Professor, School of Engineering and Applied Science.
Founder of Exyn Technologies.
Fellow of the ASME and IEEE.
Elected Member of the National Academy of Engineering, American Philosophy Society, and American Academy of Arts and Sciences.
Engelberger Robotics Award.
IEEE Robotics and Automation Pioneer and Field Awards.

Jodi Reeves

Associate Director of Education, Workforce Development, and Outreach.
Chair of Education Committee.
National University.
Academic Program Director of Data Science in the Department of Engineering and Computing.

Angela Berti

University of California, San Diego.
Managing Director of TILOS (2023-present).
Saura Naderi

Saura Naderi

University of California, San Diego.
K-14 Outreach Director, Halıcıoğlu Data Science Institute.
Co-founder of Thinkabit Lab at Qualcomm.
Founder of the myLab program at UC San Diego.

Faculty Members

Nikolay Atanasov

Nikolay Atanasov

University of California, San Diego.
Robotics team.
Assistant Professor of Electrical and Computer Engineering.
Contextual Robotics Institute member.
NSF CAREER award and NSF CRII award.
IEEE Robotics and Automation Society Early Academic Career Award in Robotics and Automation.
Associate Editor of IEEE RA-L, IEEE ICRA, IEEE/RSJ IROS.
Mikhail (Misha) Belkin

Mikhail Belkin

University of California, San Diego.
Foundations team.
Professor, Halıcıoğlu Data Science Institute.
Fellow of the ACM.
Shirin Saeedi Bidokhti

Shirin Saeedi Bidokhti

University of Pennsylvania.
Networks team.
Assistant Professor of Electrical Engineering and Computer Science.
NSF CAREER award and NSF CRII award.
Henrik I. Christensen

Henrik I. Christensen

University of California, San Diego.
Co-PI and Robotics team co-lead.
Qualcomm Chancellor's Chair of Robot Systems and Distinguished Professor of Computer Science and Engineering.
Director of Contextual Robotics Institute.
Fellow of IEEE and AAAS.
Sicun Gao

Sicun Gao

University of California, San Diego.
Chips team.
Assistant Professor of Computer Science and Engineering.
NSF Career Award.
Air Force Young Investigator Award.
Kurt Godel Research Fellowship Prize Silver Medal.
Hamed Hassani

Hamed Hassani

University of Pennsylvania.
Foundations team co-lead.
Assistant Professor of Electrical Engineering and Computer Science.
NSF CAREER Award.
AFOSR Young Investigator Award.
Intel Rising Star Award.
Thomas Cover Dissertation Award from the IEEE Information Theory Society.
Jack Wolf Student Paper Award.
Tara Javidi

Tara Javidi

University of California, San Diego.
Co-PI and Networks team co-lead.
Jacobs Family Scholar and Professor of Electrical and Computer Engineering.
Founding co-director for the Center for Machine Intelligence, Computing, and Security.
Fellow of IEEE.
Halıcıoğlu Data Science Institute Faculty Fellow.
Shatha Jawad

Shatha Jawad

National University.
Education team.
2024 Full-Time Faculty Excellence in Scholarship Award, School of Technology and Engineering, National University.
2023 Full-Time Faculty Excellence in Teaching Award, School of Technology and Engineering, National University.
2002 UNESCO Fellowship in Information and Communication Technologies.
Farinaz Koushanfar

Farinaz Koushanfar

University of California, San Diego.
Chips team co-lead and Networks team.
Henry Booker Scholar and Professor of Electrical and Computer Engineering.
Founding co-director for the Center for Machine Intelligence, Computing, and Security.
Fellow of IEEE and NAS-Kavli Frontiers.
Melvin Leok

Melvin Leok

University of California, San Diego.
Foundations team.
Professor of Mathematics. Co-Director of the Computational Science, Mathematics, and Engineering Graduate Program.
Department of Defense Newton Award for Transformative Ideas.
NAS-Kavli Frontiers of Science Fellow.
NSF CAREER Award.
SciCADE New Talent Award.
SIAM Student Paper Prize.
Leslie Fox Prize in Numerical Analysis.
Yian Ma

Yian Ma

University of California, San Diego.
Foundations team.
Assistant Professor, Halıcıoğlu Data Science Institute and Computer Science and Engineering.
David Pan

David Pan

University of Texas at Austin.
Chips team co-lead.
Professor and Silicon Laboratories Endowed Chair in Electrical Engineering.
Director of the UT Design Automation Lab.
SRC Technical Excellence Award.
21 Best Paper Awards from TCAD, DAC, ICCAD, ASP-DAC, DATE, ISPD, HOST, IBM Research, SRC, etc.
Fellow of ACM, IEEE, and SPIE.
Headshot of Dr. Yury Polyanskiy

Yury Polyanskiy

Massachusetts Institute of Technology.
Foundations team.
Professor of Electrical Engineering and Computer Science.
Recipient of the 2020 IEEE Information Theory Society James Massey Award, 2013 NSF CAREER Award, and 2011 IEEE Information Theory Society Paper Award.
Alejandro Ribeiro

Alejandro Ribeiro

University of Pennsylvania.
Networks team co-lead.
Professor of Electrical and Systems Engineering.
Paper awards at ICASSP 2020, EUSIPCO 2019, CDC 2017, and ACC 2013.
2017 Lindback and 2012 S. Reid Warren, Jr. teaching awards.
Fulbright Scholar class of 2003.
Penn Fellow class of 2015.
Tajana Rosing

Tajana Rosing

University of California, San Diego.
Chips team and Networks team.
Professor of Computer Science and Engineering.
Fratamico Endowed Chair.
Fellow of IEEE.
Irene Tsapara

Irene Tsapara

National University.
Education team.
Professor and Academic Director of National University's Data Science doctoral program.
CJ Taylor

Camillo J. (CJ) Taylor

University of Pennsylvania.
Robotics team.
Raymond S. Markowitz President's Distinguished Professor in the Computer and Information Science Department.
Member of the GRASP Laboratory.
Associate Dean for Diversity, Equity, and Inclusion of the School of Engineering and Applied Science.
Nisheeth Vishnoi

Nisheeth Vishnoi

Yale University.
Co-PI and co-chair of Institute Culture, Ethics, and Early Career Committee.
Foundations team.
A. Bartlett Giamatti Professor of Computer Science.
Co-founder of the Computation and Society Initiative at Yale.
Fellow of ACM.
Xiaolong Wang

Xiaolong Wang

University of California, San Diego.
Robotics team.
Assistant Professor of Electrical and Computer Engineering and affiliated faculty of Computer Science and Engineering.
Member of the Contextual Robotics Institute, Center for Visual Computing and Artificial Intelligence Group.
Yu-Xiang Wang

Yu-Xiang Wang

University of California, San Diego.
Foundations team.
Associate Professor of Data Science and affiliate faculty in the department of Computer Science and Engineering at UC San Diego.

Faculty Affiliates

Eddy Keming Chen

Eddy Keming Chen is an Associate Professor of Philosophy at the UC San Diego.
His research interests include foundations of AI, foundations of physics, philosophy of science, and metaphysics.
Dr. Chen is the recipient of the BJPS Popper Prize and John Templeton Foundation grants for research on quantum foundations and arrows of time.

Chung-Kuan Cheng

Chung-Kuan Cheng is a Distinguished Professor of Computer Science and Engineering and Professor of Electrical and Computer Engineering at UC San Diego.
His research interests include circuit simulation, very-large-scale integration (VLSI) physical layout, high-performance interconnect, and medical imaging.

David Danks

David Danks is the Polk JSF Distinguished University Professor of Philosophy, Artificial Intelligence, and Data Science at the University of Virginia.
He has served as an Advisory Board Member of the NAIAC, SCSP, PART, CASMI, the Topos Institute, and the Grefenstette Center for Ethics in Science, Technology, and Law.
Dr. Danks is a recipient of the Andrew Carnegie Fellowship and the James S. McDonnell Foundation Scholar Award.
Headshot of Dr. Damek Davis

Damek Davis

Damek Davis is an Associate Professor in the Department of Statistics and Data Science at the University of Pennsylvania. His research focuses on the interplay of optimization, signal processing, statistics, and machine learning.
Dr. Davis serves as an Associate Editor for Mathematical Programming and Foundations of Computational Mathematics, and is the recipient of a Sloan Research Fellowship in Mathematics (2020), the INFORMS Optimization Society Young Researchers Prize (2019), an NSF CAREER Award (2021), and the SIAM Activity Group on Optimization Best Paper Prize (2023).
Dmitriy Drusvyatskiy

Dmitriy Drusvyatskiy

Dmitriy Drusvyatskiy is a Professor at the Halıcıoğlu Data Science Institute at UC San Diego.
His research focuses on designing and analyzing algorithms for large-scale optimization problems arising in data scientific domains. Particular topics of interest include nonconvex optimization in deep learning, stochastic optimization under distributional shifts, and dynamic decisions under uncertainty.
Fan Chung Graham

Fan Chung Graham

Fan Chung Graham Paul Erdos Professor in Combinatorics at UC San Diego.
She is a Fellow of American Academy of Arts and Sciences, a Fellow of AMS and SIAM, and a recipient of the Euler Medal.

Daniel Hsu

Daniel Hsu

Daniel Hsu is an Associate Professor of Computer Science at Columbia University.
Dr. Hsu works on algorithmic statistics and machine learning/AI, with the goals of designing efficient algorithms for learning and data analysis, and understanding the limits of efficient computation for these tasks.
Stefanie Jegelka

Stefanie Jegelka

Stefanie Jegelka is the Humboldt Professor at the Technical University of Munich.
Her research is in algorithmic machine learning, spanning modeling, optimization algorithms, theory and applications.
Dr. Jegelka is a recipient of the NSF CAREER Award, DARPA Young Faculty Award, and a Sloan Research Fellowship.

Andrew Kahng

Andrew B. Kahng

Andrew B. Kahng is a Distinguished Professor in the departments of Computer Science and Engineering and Electrical and Computer Engineering at UC San Diego.
He served as the Director of TILOS from 2021-2023, and was the Chips team co-lead from 2021-2024.
Dr. Kahng is a Fellow of ACM and IEEE, and a 2019 Ho-Am Prize Laureate in Engineering.

Suvrit Sra

Suvrit Sra

Suvrit Sra is a Professor for Resource Aware Machine Learning at the Technical University of Munich.
He is a recipient of the NSF CAREER Award, SIAM Outstanding Paper Prize, and best paper awards at ICML, ECML, and SDM.
Dr. Sra is also a Senior Area Chair for NeurIPS, ICML, and COLT, as well as the Associate Editor of the Journal of Machine Learning Research.

Daniel Spielman

Daniel Spielman

Daniel Spielman is the Sterling Professor of Computer Science and Professor of Statistics, Data Science, and Mathematics af Yale University.
He is a aounding co-director of the Yale Institute for Network Science, a Fellow of the ACM, and a member of the American Academy of Arts and Sciences and the National Academy of Sciences.

Lily Weng

Lily Weng is an Assistant Professor at UC San Diego, working on trustworthy AI with the goals of ensuring the next-generation AI system is robust, reliable, explainable, trustworthy and safe.
Her research interests include deep learning, optimization, reinforcement learning, with particular interest in (automated) interpretability, (adversarial) robustness, and uncertainty quantifications.
Rose Yu

Rose Yu

Rose Yu is an Associate Professor of Computer Science and Engineering at UC San Diego.
Her research interests lie primarily in deep learning, especially for large-scale spatiotemporal data.
Dr. Yu is broadly interested in high-dimensional optimization, uncertainty quantification and decision making in spatiotemporal environments.