Are there good soba noodle places nearby? How do I get to JFK by train? When does this park close? Show me Stonehenge! Helping people explore and get things done in the real world is the task our team has taken on, and it is a rather challenging one. In this talk I will describe the technical complexity of creating models that reflect the real world for tools such as Google Maps, Search and Google Earth.
The Berkeley Distinguished Lectures in Data Science, co-hosted by the Berkeley Institute for Data Science (BIDS) and the Berkeley Division of Data Sciences, is offered to engage our diverse campus community and enrich active connections among colleagues. All campus community members are welcome and encouraged to attend.
Speaker(s)
Luiz André Barroso
Luiz André Barroso, VP of Engineering and a Google Fellow. His team is responsible for collecting and curating maps, local knowledge and imagery data that powers many Google products. He was previously the technical lead for Google’s computing infrastructure and has also worked on a number of software infrastructure projects. Luiz has published several technical papers and has co-authored “The Datacenter as a Computer”, the first textbook to describe the architecture of warehouse-scale computing systems, now in its 3rd edition. Before Google, he was a member of the research staff at Digital Equipment Corporation, where his group did some of the pioneering research on modern multi-core processor architectures. Luiz is a Fellow of the ACM and the AAAS, and holds B.S. and M.S. degrees in Electrical Engineering from the Pontifícia Universidade Católica of Rio de Janeiro, and a Ph.D. in Computer Engineering from the University of Southern California.
Matt Hancher
Matt Hancher leads the Earth Engine engineering team at Google, which he co-founded in 2009 to bring Google’s datacenter computing expertise to bear on global challenges in Earth science and related fields. In addition to managing the engineering team, he also works directly on applications ranging from deforestation monitoring to public health. Prior to joining Google, he worked in the Intelligent Systems Division at the NASA Ames Research Center, where he was the lead developer of the NASA Vision Workbench, an open-source image processing library in C++, and led the Planetary Content Team, working with partners in the private sector to make NASA’s planetary data more accessible and useful to the world.