Sahar Yousef,  Executive Director, Accelerated Learning and Cognitive Training Summer Institute — Sahar is a 5th year UC Berkeley PhD candidate in Neuroscience doing research in the field of brain plasticity. She specializes in taking already high-performing brains and enabling them to focus longer and process information faster, with less neural effort. She has directed and co-founded three international conferences and served as president to multiple organizations, been granted several awards for leadership excellence, and also co-founded three courses at UC Berkeley, including a course on meditation that she has proudly facilitated for 7 years. Sahar has also founded 2 companies, worked as a product manager, and consulted on growth and strategy in a variety of sectors. Sahar also completed her undergraduate education at UC Berkeley studying Cognitive Science. 

Janos Botyanszki, Expert Lecturer (Focus Control and Sleep) — Janos is a 6th year UC Berkeley PhD candidate in Physics and works in the Nuclear Science Division at Lawrence Berkeley National Laboratory. His National Science Foundation-funded research involves building software to computationally model exploding stars (i.e. supernovae), hoping to bridge the gap between experimental and theoretical astrophysics. During his undergraduate years studying Physics and Math (also at Berkeley), he developed search databases and web interfaces for Physics Nobel Prize Winner Professor Saul Perlmutter, who jointly discovered the accelerating expansion of the universe. He has also worked as a software engineer at a Fortune 500 cybersecurity firm in Silicon Valley.

Rachel Albert, Expert Lecturer (Perception and Virtual Reality) — Rachel is currently a 5th year UC Berkeley PhD candidate in Vision Science. She holds an MS in Computer Science from UC Berkeley as well as dual BS degrees in Biology and Psychology from the College of William and Mary. Her research focuses on the perception and manipulation of texture images and computer graphics, automating psychophysics, binocular vision, and virtual reality. She has worked in computer graphics at Adobe and is looking forward to working at Nvidia after finishing up her doctorate.

Lucas Miller, Director of Programming, Accelerated Learning and Cognitive Training Summer Institute — Lucas Miller is a Phi Beta Kappa graduate of UC Berkeley, where he studied Cognitive Science and Entrepreneurship and was a Regent's and Chancellor's Scholar. As an undergraduate, he conducted research in memory and performance psychology, founded a shipping logistics software company, served as a mentor for multiple business courses, and authored Beyond Brilliance: The Blueprint for Learning Anything, an illustrated book on the science of learning and productivity, which is currently being implemented in school districts from California to Maine. He consults for high-output professionals and education systems in the Bay Area and is currently starting a company focused on cognitive analytics and training for large corporations.

Ryan Chapman, Content Developer (Productivity and Technology Tools) — Ryan is a Tau Beta Pi graduate of UC Berkeley, where he studied Electrical Engineering and Computer Science (EECS) and Entrepreneurship. As an undergraduate, he managed a $500,000 student-run venture capital fund (backed by First Round Capital), invested increments of $20,000 into student-run startups in the Bay Area, and led a team of 9 people responsible for sourcing deal flow, evaluating startups, and running weekly pitch meetings. He also won the 2015 University Mobile Challenge, an annual global competition held in Barcelona, Spain, with 130 of the world’s best college startup teams competing. After two summer internships at Apple, he will returning this fall to work on their Machine Learning team.

Adam Eichenbaum, Expert Lecturer (Video Game Training and  EEG) — Adam graduated from the University of Wisconsin, Madison in 2013 with an honors degree in Psychology. As an undergraduate, he studied working memory and attention. After graduating, he investigated the use of action video game training as a cognitive training and rehabilitation tool. He is currently a 2nd year PhD student in Neuroscience at UC Berkeley. His research interests focus on the use of (functional) connectivity analyses and graph theory to understand how the human brain accomplishes learning.