Parag is the technology lead, responsible for Twitter’s technical strategy and overseeing machine learning and AI across the consumer, revenue, and science teams. Since joining Twitter in 2011, Parag has led efforts on scaling Twitter Ads systems, as well as reaccelerating user growth by improving Home timeline relevance.

Prior to joining Twitter, Parag did research in large-scale data management with collaborators at Microsoft Research, Yahoo! Research, and AT&T Labs.

He holds a bachelor’s degree from IIT Bombay and a Ph.D. in computer science from Stanford University.

Katie is the Division Deputy and Data Department Head at the National Energy Research Scientific Computing (NERSC) Center at Lawrence Berkeley National Laboratory. Katie is also the Project Director of the Perlmutter system, NERSC’s next generation system arriving in 2021 that will support large scale simulation and data workloads and was Project Director of the 2016 Cori supercomputer. Katie is Principle Investigator on a Research Project titled, “Science Search: Automated MetaData Using Machine Learning” and is interested in how experimental science facilities can leverage High Performance Computing. Before coming to NERSC, Katie worked at the ASC Flash Center at the University of Chicago on the FLASH code, a highly scalable, parallel, adaptive mesh refinement astrophysics application. She has an M.S. in Computer Science from the University of Chicago and a bachelors in Physics from Wellesley College.

The Perlmutter Supercomputer at the National Energy Research Scientific Computing (NERSC) Facility will be deployed in early 2021 to support the large scale simulation, data analysis and machine learning workloads of the Department of Energy, Office of Science funded researchers. Named after Nobel Laureate Saul Perlmutter, the 100 PF Cray system will include next-generation AMD CPUs and NVIDIA GPU compute nodes, 30PBs of an all-flash Lustre file system and the Cray Slingshot Ethernet compatible interconnect. This talk will discuss the Perlmutter architecture, applications, software, and plans to support a growing and diversifying workload including AI and large scale data analysis.

Edward Y. Chang has acted as the President of AI Research and Healthcare (DeepQ) at HTC since 2012. He also currently serves as an adjunct professor at Stanford University and a technical advisor of SmartNews. His most recent notable work is co-leading the DeepQ project to win the XPRIZE medical IoT contest in 2017 with a 1M USD prize. Prior to his current posts, Ed was a director of Google Research from 2006 to 2012, leading research and development in areas including scalable machine learning, indoor localization, and Google Q&A. His contributions in data-driven machine learning (US patents 8798375 and 9547914) and his ImageNet sponsorship helped fuel the success of AlexNet and the recent resurgence of AI. His developed open-source codes in parallel SVMs, parallel LDA, parallel spectral clustering, and parallel frequent itemset mining (adopted by Berkeley Spark) have been collectively downloaded over 30,000 times. Prior to Google, Ed was a full professor of Electrical & Computer Engineering at the University of California, Santa Barbara. He joined UCSB in 1999 after receiving his PhD from Stanford University. Ed is an IEEE Fellow for his contributions to scalable machine learning.

Paolo Faraboschi is a Fellow and VP at Hewlett Packard Labs. His interests lie at the intersection of hardware and software, including HPC, workload optimized SoCs, and parallel systems. His current research focuses on next-generation memory-driven computing systems, and specifically on the most challenging problems of Exascale computing. In the past, he worked on VLIW processors, compilers, and energy-efficient servers. He is an IEEE Fellow for contributions to embedded processor architecture and SoC technology, He co-authored over 100 publications, 42 patents, and a book. He received his Ph.D. in EE from the University of Genoa, Italy, in 1993.

Andrea Goldsmith is the Stephen Harris professor in the School of Engineering and a professor of Electrical Engineering at Stanford University. Her research interests are in information theory, communication theory, and signal processing, and their application to wireless communications, interconnected systems, and neuroscience. She founded and served as Chief Technical Officer of Plume WiFi (formerly Accelera, Inc.) and of Quantenna (QTNA), Inc, and she currently serves on the Board of Directors for Medtronic (MDT) and Crown Castle Inc (CCI). Dr. Goldsmith is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, a Fellow of the IEEE and of Stanford, and has received several awards for her work, including the IEEE Sumner Technical Field Award, the ACM Athena Lecturer Award, the ComSoc Armstrong Technical Achievement Award, the WICE Mentoring Award, and the Silicon Valley/San Jose Business Journal’s Women of Influence Award. She is author of the book ``Wireless Communications'' and co-author of the books ``MIMO Wireless Communications'' and “Principles of Cognitive Radio,” all published by Cambridge University Press, as well as an inventor on 29 patents. She received the B.S., M.S. and Ph.D. degrees in Electrical Engineering from U.C. Berkeley.

Dr. Goldsmith is currently the founding Chair of the IEEE Board of Directors Committee on Diversity, Inclusion, and Ethics. She served as President of the IEEE Information Theory Society in 2009 and as founding Chair of its student committee. She has also served on the Board of Governors for both the IEEE Information Theory and Communications Societies. At Stanford she has served as Chair of Stanford’s Faculty Senate and for multiple terms as a Senator, and on its Academic Council Advisory Board, Budget Group, Committee on Research, Planning and Policy Board, Commissions on Graduate and on Undergraduate Education, Faculty Women’s Forum Steering Committee, and Task Force on Women and Leadership.

Silvio Savarese is an Associate Professor of Computer Science at Stanford University and Chief Scientist at AiBee Inc since 2018. He earned his Ph.D. in Electrical Engineering from the California Institute of Technology in 2005 and was a Beckman Institute Fellow at the University of Illinois at Urbana-Champaign from 2005–2008. He joined Stanford in 2013 after being Assistant and then Associate Professor of Electrical and Computer Engineering at the University of Michigan, Ann Arbor, from 2008 to 2013. From 2016 to 2018, he served as a director of the SAIL-Toyota Center for AI Research at Stanford. His research interests include computer vision, robotic perception and machine learning. He is recipient of several awards including two Best Paper Awards at ICRA 2019 and CVPR 2018 respectively, a Best Student Paper Award at CVPR 2016, the James R. Croes Medal in 2013, a TRW Automotive Endowed Research Award in 2012, an NSF Career Award in 2011 and Google Research Award in 2010. In 2002 he was awarded the Walker von Brimer Award for outstanding research initiative.

Raymie Stata is a Technical Fellow at Airbnb, where he focuses on issues related to data management. Prior to Airbnb he was founder and CEO of Altiscale, which offered Spark and Hadoop as a managed service in the cloud. Raymie founded Altiscale after leaving Yahoo!, where he was Chief Technical Officer. At Yahoo!, he played an instrumental role in algorithmic search, display advertising, and cloud computing. He also helped set Yahoo’s Open Source strategy and initiated its participation in the Apache Hadoop project. Prior to joining Yahoo!, Raymie founded Stata Laboratories, maker of the Bloomba search-based e-mail client, which Yahoo! acquired in 2004. He has also worked for Digital Equipment’s Systems Research Center, where he contributed to the AltaVista search engine. Raymie received his PhD in Computer Science from MIT in 1996.