Forrest started his career in high-performance computing (i.e. writing fast and scalable software), and he has spent the last several years as a PhD student at Berkeley accelerating and rethinking computer vision algorithms. He has published more than twenty papers, and all of his most recent papers are on accelerating and improving deep learning for computer vision. Forrest is also a huge car enthuaiast, and when not stuck in traffic, he enjoys few things more than spending the day driving on a racetrack.
After leaving his position as CTO and Senior Vice-President of Research at Synopsys to become Professor of EECS at University of California, Berkeley, Kurt and his students have focused on applying commodity parallelism to accelerate emerging applications. In particular, Kurt's research group has achieved significant speedups in machine learning (SVMs), computer vision, speech recognition, multimedia analytics, computational finance, and, most recently, training and deployment of deep neural networks. As a researcher, Kurt has published six books and over 200 refereed articles. As an entrepreneur, Kurt has been an investor and advisor to thirteen startups and an advisor to seven more.
Don's career as a technologist and a senior executive spans the semiconductor and EDA (electronic design automation) industries. He has served as the Vice President of Engineering for four startups in the EDA and semiconductor space, including Stretch, where he led the development of hardware and embedded software solutions for video encoding and processing. At Synopsys, he served as VP of Engineering for Mixed Signal Simulation and TCAD as well as VP of the Advanced Technology Group and it was at Synopsys that Don met and worked with Kurt Keutzer. As a technologist, Don has worked on semiconductor microlithography, device, process, and circuit simulation, timing analysis, logic modeling, logic and RTL synthesis, power and signal integrity. At Nimbic, he delivered cloud enabled HPC for electo-magnetic simulation of boards and packages. More recently, he has provided consulting in text mining and real time web infrastructure. Don holds a PhD in Theoretical Chemistry.
Anting expertise includes his experience with computer vision and deep learning from his time in Berkeley's Robot Learning Lab & the ASPIRE lab, and experience in training data management and application development through his time at Google and Yelp. After receiving his B.S. in EECS from Berkeley, he entered entrepreneurship by founding a startup. He is now finishing up his M.S. in Computer Science at Berkeley.
Sammy has a wide array of experience ranging from working on Stem Cell Research in a genetics laboratory, performing Medical AI research at Berkeley, building low latency ML systems at Apple's Applied Machine Learning division to building High Frequency Trading (HFT) systems on Wall Street at Two Sigma Investments. Sammy's specialities in computing are designing highly performant systems, Artificial Intelligence (including Deep Learning), and Computer Architecture. Sammy also has a degree in EECS from Berkeley.
Lisa brings her experience in project management, accounting, and business administration to all things financial and administrative at DeepScale. Lisa provides financial systems set-up, bookkeeping and general guidance to a range of startup endeavors. In her ten years as a Project Manager in the non-profit housing sector, Lisa built 1000 units of housing, overseeing the feasibility, financing and construction of properties with budgets of up to $14 million in equity, bond, bank and public funds. Lisa holds a Masters from The School of Global Policy and Strategy at UC San Diego.