Dr. Anca Dragan

Anca Dragan is an Assistant Professor in EECS at UC Berkeley, where she runs the InterACT lab. Her goal is to enable robots to work with, around, and in support of people. She works on algorithms that enable robots to a) coordinate with people in shared spaces, and b) learn what people want them to do. Anca did her PhD in the Robotics Institute at Carnegie Mellon University on legible motion planning. At Berkeley, she helped found the Berkeley AI Research Lab, is a co-PI for the Center for Human-Compatible AI, and has been honored by the Sloan fellowship, the NSF CAREER award, the Okawa award, MIT's TR35, and an IJCAI Early Career Spotlight.    

Dr. Ayanna Howard

Ayanna Howard, Ph.D. is the Linda J. and Mark C. Smith Professor and Chair of the School of Interactive Computing at the Georgia Institute of Technology. She also holds a faculty appointment in the School of Electrical and Computer Engineering and functions as the Chief Technology Officer of Zyrobotics. Dr. Howard’s career focus is on intelligent technologies that must adapt to and function within a human-centered world. Her work, which encompasses advancements in artificial intelligence (AI), assistive technologies, and robotics, has resulted in over 250 peer-reviewed publications in a number of projects - from healthcare robots in the home to AI-powered STEM apps for children with diverse learning needs.  To date, her unique accomplishments have been highlighted through a number of awards and articles, including highlights in USA Today, Upscale, and TIME Magazine, as well as being recognized as one of the 23 most powerful women engineers in the world by Business Insider and one of the Top 50 U.S. Women in Tech by Forbes. In 2013, she also founded Zyrobotics, which is currently licensing technology derived from her research and has released their first suite of STEM educational products to engage children of all abilities. Prior to Georgia Tech, Dr. Howard was a Senior Robotics Researcher and Deputy Manager in the Office of the Chief Scientist at NASA's Jet Propulsion Laboratory. She has also served as the Associate Director of Research for the Institute for Robotics and Intelligent Machines, Chair of the Robotics Ph.D. program, and the Associate Chair for Faculty Development in the School of Electrical and Computer Engineering at Georgia Tech.

Dr. Daphne Koller
Daphne Koller is the CEO and Founder of insitro, a startup company that aims to
rethink drug development using machine learning. She is also the Co-Chair of the
Board and Co-Founder of Coursera, the largest platform for massive open online
courses (MOOCs). Daphne was the Rajeev Motwani Professor of Computer Science
at Stanford University, where she served on the faculty for 18 years. She has also
been the Chief Computing Officer of Calico, an Alphabet company in the healthcare
space. She is the author of over 200-refereed publications appearing in venues such
as Science, Cell, and Nature Genetics. Daphne was recognized as one of TIME
Magazine’s 100 most influential people in 2012 and Newsweek’s 10 most important
people in 2010. She has been honored with multiple awards and fellowships during
her career including the Sloan Foundation Faculty Fellowship in 1996, the ONR
Young Investigator Award in 1998, the Presidential Early Career Award for
Scientists and Engineers (PECASE) in 1999, the IJCAI Computers and Thought
Award in 2001, the MacArthur Foundation Fellowship in 2004, and the ACM Prize in
Computing in 2008. Daphne was inducted into the National Academy of Engineering
in 2011 and elected a fellow of the American Academy of Arts and Sciences in 2014
and of the International Society of Computational Biology in 2017. Her teaching was
recognized via the Stanford Medal for Excellence in Fostering Undergraduate
Research, and as a Bass University Fellow in Undergraduate Education.

Dr. Dan Yamins

Dan Yamins is a computational neuroscientist at Stanford University, where he's an assistant professor of Psychology and Computer Science, and a faculty scholar at the Wu Tsai Neurosciences Institute.   He works on science and technology challenges at the intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis.   

The brain is the embodiment of the most beautiful algorithms ever written.  Dan's research group, the Stanford NeuroAILab, seeks to "reverse engineer" these algorithms, both to learn both about how our minds work and build more effective artificial intelligence systems.