Speakers (Tentative)

Carmen Amo Alonso received a B.Sc. in Aerospace Engineering from the Polytechnic University of Madrid (Spain) in 2016, and a M.Sc. in Space Engineering from Caltech in 2017. She is currently a Ph.D. candidate in Control and Dynamical Systems at Caltech. During her PhD, Carmen has received a D.E. Shaw Exploration fellowship and an AI4Science Amazon fellowship. Her research interests include Distributed Optimal Control, Convex Optimization, and Parallel Programming.

James Anderson is an assistant professor in the Department of Electrical Engineering at Columbia University, where he is also a member of the Data Science Institute. From 2016 to 2019 he was a senior postdoctoral scholar in the Department of Computing + Mathematical Sciences at the California Institute of Technology. Prior to Caltech, He held a Junior Research Fellowship at St John's College at the University Oxford and was also affiliated with the Department of Engineering Science. He was awarded his DPhil (PhD) from Oxford in 2012 and the BSc and MSc degrees from the University of Reading in 2005 and 2006 respectively.

John Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, EE, and BioEng, at Caltech, where he has been a professor since 1985. BS & MS EE, MIT (1977), PhD Math, UC Berkeley (1984). Early research in robust control theory from 1976 on was as a consultant for Honeywell Systems and Research Center, Mpls, MN. Current research interest is in mathematical foundations for a theory of architecture for complex bio, tech, med, eco, neuro, and social networks, where SLS plays an essential role. An occasional hobby is developing rigorous theories of multiscale physics. These all involve integrating theory from controls, dynamical systems, computation, communication, optimization, learning, and statistics. Best paper prizes include IEEE Baker (for all IEEE journals), IEEE TAC Axelby (3x), AACC Schuck, World Top 10 in Mathematics 1981-1993, ACM Sigcomm Best Paper and ``Test of Time" awards, Best Writing on Mathematics 2010, and as advisor on many student prizes. Individual awards including IEEE Hickernell, Centennial, and Control Systems Field Award, AACC Eckman, and UC Berkeley Friedman, plus world and national records and championships in various sports. Best known for outstanding students, colleagues, and spouse, and the shortest journal abstract in IEEE history.

Dimitar Ho received a B.Sc. and M.Sc. in Mechatronics, Robotics, and Automation Engineering from TU Darmstadt in 2011 and 2014, respectively. He is currently a Ph.D. candidate in Control and Dynamical Systems at the California Institute of Technology. He is broadly interested in learning and control for robotic systems.

Emily Jensen received a B.S. Degree in Engineering Mathematics & Statistics from the University of California, Berkeley in 2015. She received a Ph.D. degree in the Electrical & Computer Engineering department at the University of California, Santa Barbara (UCSB) in 2020, where she was advised by Professor Bassam Bamieh. She is the recipient of the UC Regents Graduate Fellowship (2016), and of the Zonta Amelia Earhart Fellowship (2019). In 2021, she was a postdoctoral researcher at Northeastern University, advised by Professor Laurent Lessard. She is currently a postdoctoral researcher in the department of Electrical Engineering and Computer Science at the University of California, Berkeley, where she is advised by Murat Arcak. Her research interests include distributed and networked control, and analysis of infinite dimensional systems.

Olle Kjellqvist is a PhD student at the department of Automatic Control, Lund University, Sweden. He received his M.Sc in engineering physics from Lund University in 2018, and was a visiting student researcher at Caltech during the academic year of 2021-2022. His research focuses on the analysis and control of uncertain dynamical systems.

Jing Shuang (Lisa) Li received a B.A.Sc. in Engineering Science from the University of Toronto in 2018. She is currently a Ph.D. candidate in Control and Dynamical Systems at Caltech. Lisa is supported by a postgraduate scholarship from the Natural Sciences and Engineering Research Council of Canada [NSERC PGSD3-557385-2021]. Her research interests include distributed control and its applications to sensorimotor and biological modeling.

Nikolai Matni is an Assistant Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania. Prior to joining Penn, Nikolai was a postdoctoral scholar in EECS at UC Berkeley. He has also held a position as a postdoctoral scholar in the Computing and Mathematical Sciences at Caltech. He received his Ph.D. in Control and Dynamical Systems from Caltech in June 2016. Nikolai is a recipient of the NSF CAREER Award (2021), a Google Research Scholar Award (2021), the 2021 IEEE CSS George S. Axelby Award, the IEEE ACC 2017 Best Student Paper Award (as co-advisor), and the IEEE CDC 2013 Best Student Paper Award.

Jing Yu received a B.Sc. in Mechanical Engineering from Georgia Institute of Technology in 2017. She is a PhD candidate in Control and Dynamical Systems at Caltech, advised by John Doyle and Adam Wierman. She is broadly interested in the interplay between control and learning theory, with a focus on distributed algorithms for large-scale cyber-physical systems.