Academia Panelists

Mary Wooters | Stanford

Mary Wooters is an Assistant Professor of Computer Science and Electrical Engineering at Stanford University. She’s interested broadly in theoretical computer science and theoretical aspects of engineering, especially concerning communication, storage, and data processing. More specifically and with some buzzwords, she works in error correcting codes, randomized algorithms, dimension reduction, matrix completion, group testing, and sparse signal processing.

Dorsa Sadigh | Stanford

Dorsa Sadigh is an Assistant Professor in the Computer Science Department and Electrical Engineering Department at Stanford University. Her work is focused on the design of algorithms for autonomous systems that safely and reliably interact with people.

Jeanette Bohg | Stanford

Jeannette Bohg is an Assistant Professor at Stanford and is affiliated as a guest researcher with the MPI. Her research focuses on perception for autonomous robotic manipulation and grasping. She is specifically interesting in developing methods that are goal-directed, real-time and multi-modal such that they can provide meaningful feedback for execution and learning.

Rikky Muller | Berkeley

Rikky Muller, PhD is an Assistant Professor of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. She is Co-director of the Berkeley Wireless Research Center (BWRC), a Core Member of the Center for Neural Engineering and Prostheses (CNEP) and an Investigator at the Chan-Zuckerberg Biohub. Her research group focuses on emerging implantable medical devices and in developing low-power, wireless microelectronic and integrated systems for neurological applications. Prof. Muller is also the Co-founder of Cortera Neurotechnologies, Inc. a medical device company founded in 2013 that is commercializing a neural implant device and has released a family of products for the animal neuroscience research market. At Cortera, she held positions as CEO and CTO.

Elizabeth Ratnam | Berkeley

Elizabeth L. Ratnam received the B.E. (Hons I) degree in Electrical Engineering in 2006, and the Ph.D. degree in Electrical Engineering in 2016, all from the University of Newcastle, Australia. She subsequently held a research position with the Center for Energy Research at the University of California, San Diego. During 2001–2012 she gained engineering experience at Ausgrid, one of the largest electricity distribution networks in Australia. Her research interests lie in the areas of power systems and control theory. At CIEE, Elizabeth is working as a postdoctoral scholar with Professor Alexandra von Meier, focusing on the demonstration of diagnostic or control algorithms with micro-synchrophasor data from electric utility distribution systems.

Industry Panelists

Sharon Lin | Stanford ’14, Zazzle

Sharon Lin graduated from the the Computer Science PhD program (2014) at Stanford, where she was advised by Pat Hanrahan. She did her undergrad at the University of Washington. Her interests lie in computer graphics, visualization, and human-computer interaction. She is particularly interested in computer-aided graphic design tools. Currently, she is a research engineer at Zazzle, working on automatic design transfer and visual search.

Tara Matthews | Berkeley ’07, Google

Tara Matthews was a Senior User Experience Researcher in Google’s Security & Privacy Research & Design Group for nearly 4 years. She was also a manager and team lead. Her most recent research was focused on usable privacy and security. Prior to joining Google in June 2014, Tara was a Research Scientist at IBM Research – Almaden for nearly 7 years, studying and improving the design of workplace collaboration and social software. Tara earned her Ph.D. in Computer Science from the University of California, Berkeley in 2007. Her major was Human-Computer Interaction and her dissertation work informed the design and evaluation of glanceable (low attention) information visualizations.

Fang Yu | Berkeley ’06, DataVisor

Fang is the cofounder and CTO of DataVisor. Her work focuses on “big-data for security.” Over the past 10 years, she has been developing algorithms and building systems for identifying various malicious traffic such as worms, spam, bot queries, faked and hijacked account activities, and fraudulent financial transactions. Fang received her Ph.D. degree from the EECS Department at University of California at Berkeley.

Aakanksha Chowdhery | Stanford ’13, Google Brain

Dr. Aakanksha Chowdhery works in Google Brain on model compression for machine learning at the edge. Her research interests are at the intersection of edge computing, machine learning, mobile systems, and signal processing. She completed her PhD in Electrical Engineering from Stanford University in 2013, was a postdoctoral researcher at Microsoft Research in Mobility and Networking Group until 2015, and an Associate Research Scholar at Princeton University until 2017. Her work has contributed to industry standards and consortia, such as DSL standards and OpenFog Consortium. In 2012, she became the first woman to win the Paul Baran Marconi Young Scholar Award, given for the scientific contributions in the field of communications and the Internet.

Te-Yuan Huang | Stanford ’14, Netflix

Te-Yuan (T.-Y.) works at Netflix as part of the streaming innovation team, focusing on adaptive streaming algorithms and improving Quality of Experience for Netflix users. T.-Y. graduated with her Ph.D. from Stanford University in 2014, where she was very lucky to work with Prof. Nick McKeown and Prof. Ramesh Johari. Her thesis was on understanding the interactions between adaptive streaming and network transport and the design principles to help decouple them. During her PhD, she was also heavily involved in the early stage of OpenFlow and SDN research. In 2016, TY was listed as one of the “10 Women in Networking/Communications That You Should Watch” by ACM/IEEE N2Women (Networking Networking Women).

See 2016’s panelists