Keynote speakers

Director of Insights & Impact

A native of Costa Rica, JeanCarlo leads DataKind’s data science practice and ensures that its portfolio of projects is designed to help social change organizations leverage data science to achieve maximum impact.

Specializing in the intersection of technology strategy and data science delivery models, JeanCarlo has more than fifteen years of experience in cross-functional roles overseeing and building data science solutions, strategic planning, technology selection and implementation, staffing, coaching, and resource and budget allocation. JeanCarlo started his career as a process engineer in the semiconductor community, after which he spent over a decade in academia. When he is not at DataKind, JeanCarlo can be found teaching Business Analytics at New York University.He holds a B.S. & M.S. in Electrical Engineering and a Ph.D. in Technology Management  from New York University

Senior Economist

Qing Wu works on business intelligence, quantitative analysis in on-line advertising, revenue forecast and management, user/advertiser behavior modeling, and macroeconomics for Google. His specialties include internet data mining, financial forecast, macroeconomics, econometrics, supply chain and demand chain management.


Scenario Insight

Jonathan Star is a meeting designer and facilitator, specializing in scenario planning, a technique which uses stories about the future to change the minds and actions of teams so that they are better prepared for tomorrow.  He worked at GBN, Monitor and Deloitte Consulting before starting his own independent practice, Scenario Insight, in 2014.  He helps clients explore issues such as the future of healthcare, higher education and climate change. He has also lectured at UC Berkeley, where he taught a Masters program in Data Science. Earlier in his career, Jonathan worked at London Business School, conducting research into business strategy and long-term corporate success. He holds degrees in Business Economics from the University of Nottingham and the University of Warwick in the UK.


Digital Product Designer and Design Practice Leader

John Armitage is a strategic digital product designer and design practice leader. Since entering the software industry in the early '90s, he has performed principal designer and team/practice leadership roles in various consulting and development organizations.

Since 2002 he has worked in the enterprise software arena, with user experience design teams at Peoplesoft, BusinessObjects, SAP, and Host Analytics. In six years at SAP, John designed new product and business concepts related to cloud computing, social media, collaboration, business networks, and visual analytics.

His 2016 book, "Bringing Numbers to Life: LAVA and Design-Led Innovation in Visual Analytics", portrays the results and design process of the LAVA visual analytic design language project conducted at software providers BusinessObjects and SAP from 2004-2014.

He studied liberal arts, graphic design, and business at Miami University in Ohio, and earned his MFA in graphic design from Rhode Island School of Design.
Director of Architecture for Advanced Engagements
GE Digital

Jeff Blattel is currently the Director of Architecture for Advanced Engagements at GE Digital. He is a seasoned technologist having over 20 years of experience in related IT and Engineering fields. He has held several advisory roles in both technical and investment capacities. Jeff is an entrepreneur at heart, has owned his own startups, and through acquisition worked for larger companies like Cisco Systems and Citrix Systems. Jeff is an avid maker and can be found tinkering in his workshop with the latest IoT devices and his digital pinball machine.

Executive Director, Chief Data Governance Officer
Kaiser Permanente

Fawad Butt is the chief data governance officer and executive director at Kaiser Permanente. He is experienced in successfully developing and maturing information and data management organizations and executing programs designed to enable capabilities around data governance, data quality, master data management, data strategy, data analytics and innovation management.

In his role at Kaiser Permanente, Fawad is responsible for building out a consistent data governance and data quality framework and the associated organizational structures. This includes the definition and rollout of an overall operating model which includes approved data governance policies, procedures, and standards; a comprehensive data stewardship model; identification of key data domains; selection of key tools and technologies and the creation and tracking of key business and data metrics. 

Prior to joining Kaiser Permanente, Fawad spent 20 years helping technology and financial services companies including Northern Trust Corporation, TIAA-CREF, TD Bank, Sun Microsystems, and SGI/Cray Research.

Fawad holds a master’s degree in business administration from Northwestern University’s Kellogg School of Management, and a bachelor’s degree in Electronics Engineering Technology with a focus on Microprocessor Design from East West University.

John is a Professor in the School of Information at UC Berkeley, with an affiliate appointment in Electrical Engineering and Computer Science. His research interests are in bio-sensory computing (brainwave authentication, human factors in wearable computing) and information economics and policy (network economics, peer production, security and privacy).

He directs the BioSENSE Lab, a multidisciplinary research team studying the application potentials and stewardship challenges of ubiquitous bio-sensing technologies. He is also affiliated with the Center for Long-Term Cybersecurity (CLTC), the Berkeley Institute for Data Science (BIDS), and the Team for Research in Ubiquitous Secure Technology (TRUST).

Senior Instructor

Glynn Durham teaches all the courses Cloudera offers and helped develop Cloudera’s data science curriculum and exam. Durham first worked as an Oracle database administrator, then as an author and principal instructor of Oracle developer training, followed by a term at MySQL. He holds a B.A. from Louisiana College and an M.S. in computer science from LSU.

Head of Data Science
Haven Inc.

Coco Krumme is a member of the professional faculty in UC Berkeley's Master of Information and Data Science program as well as Head of Data Science at Haven Inc., a technology platform for trade and logistics. Prior to Haven Coco led quantitative teams at companies in the agriculture and financial industries. She has a Ph.D. from MIT and a B.S. from Yale.

Sr. Staff Solutions Architect
GE Digital

Rex is a member of GE’s Predix Advanced Engagement team. At GE, Rex works with customers and partners (internal and external to GE) to design and develop IIoT applications. Rex is also the product owner of Predix Demo Starter Kit, which is powered by Predix’s end-to-end edge-to-cloud capabilities, and enables users to explore the comprehensive capabilities offered by Predix. 

VP of Product
Alpine Data
Josh Lewis is the VP of Product at Alpine Data and has ten years of experience across academia and industry in machine learning, data analysis, and user experience. Prior to joining Alpine, Josh led the frontend engineering team at Ayasdi where he built apps and APIs for the healthcare, pharmaceutical, and finance verticals, as well as Ayasdi’s domain-general data analysis and visualization software. Before joining Ayasdi, Josh was a Ph.D. student and postdoc at the UC San Diego Cognitive Science Department where he investigated the role of human perception and insight in the data analysis process. He also developed novel software for applying unsupervised machine learning algorithms called Divvy, a project that was supported by a multi-year NSF grant. Josh graduated from Pomona College with majors in Cognitive Science and Philosophy.
Vice President, Advanced Projects/Adjunct Professor
GE Digital/USC

Prior to coming to General Electric he was the Chief Technology Officer for the City of Los Angeles. Under his tenure the City implemented the open data portal (#1 in the US), cyber intrusion command center (CICC), CityLinkLA (broadband), significant improvements in fire dispatch and control, partnerships with numerous technology providers, and the nation’s largest deployment of body-worn cameras for police officers. LA was recognized as the #1 digital large city in 2014 and #2 in 2015 by GovTech / League of Cities.

Marx was Vice President, Business Development, for Qualcomm Labs where he handled R&D strategy for numerous initiatives. He started the Gimbal Initiative as part of his overall work on driving the development of new technologies ranging from augmented reality to context awareness.

He was the CTO for Vivendi-Universal Games (which shipped World of Warcraft and many other games) and was the Vice President, Emerging Technologies for Universal Studios. A number of games won the highest industry awards. He previously held the position of Vice President at Mattel handling digital and online products and services, including winning a Webby™ for the games portal. As an engineer he was the Senior Research Engineer for Electronic Arts with lead roles in numerous videogames, including Madden Football, NASCAR, Knockout Kings (Fight Night), etc. He worked for Apple Computer on Quicktime and ISDN.

Marx has spent his career writing software, working with technologies and technologists, and driving the state-of-the-art forward. Marx also holds the position of Adjunct Professor at the University of Southern California.

Vice President, Security Research
Lookout Mobile Security

Michael Murray is the Director of Product Security at GE Healthcare, responsible for providing architecture and security assessment services to support GE Healthcare’s engineering teams in building secure products. A career information security professional, Murray has taken leadership roles in organizations ranging from small consulting firms to Fortune 100 companies. Before joining GE, Michael was Co-Founder and Managing Partner of MAD Security / The Hacker Academy.

Leader, Data Sciences Group
NASA Ames Research Center

Nikunj Oza is the leader of the Data Sciences Group at NASA Ames Research Center. He also leads a NASA project team, which applies data mining to aviation safety and operations problems. Dr. Oza's 50+ research papers represent his research interests, which include data mining, machine learning, anomaly detection, and their applications to Aeronautics and Earth Science. He received the Arch T. Colwell Award for co-authoring one of the five most innovative technical papers selected from 3300+ SAE technical papers in 2005. His data mining team received the 2010 NASA Aeronautics Research Mission Directorate Associate Administrator¹s Award for best technology achievements by a team. He is an Associate Editor for the peer-reviewed journal Information Fusion (Elsevier) and has served as organizer, senior program committee member, and program committee member of several data mining and machine learning conferences. He received his B.S. in Mathematics with Computer Science from MIT in 1994, and M.S. (in 1998) and Ph.D. (in 2001) in Computer Science from the University of California at Berkeley.

Research Scientist
Lyrid LLC

Shirley Pepke is a computational biologist who has worked to push the boundaries in terms of translating big data to clinical cancer applications. After Shirley was diagnosed with ovarian cancer, she engaged with oncology, genomics, and machine learning researchers to sequence her tumor and develop novel analyses of cancer data in public databases in order to select her treatment regimen. She has a Ph.D. in physics from the University of California, Santa Barbara. Her prior work included research in neurobiology and high throughput genomics at the California Institute of Technology.

UC Berkeley School of Information

AnnaLee Saxenian (Anno) is professor and dean of UC Berkeley’s School of Information and has a joint faculty appointment with the Department of City and Regional Planning. Her latest book, The New Argonauts: Regional Advantage in a Global Economy (Harvard University Press, 2006) explores how and why immigrant engineers from Silicon Valley are transferring their technology entrepreneurship to emerging regions in their home countries—Taiwan, Israel, China and India in particular—and launching companies far from established centers of skill and technology. The “brain drain,” she argues, has now become “brain circulation” — a powerful economic force for the development of formerly peripheral regions that is sparking profound transformations in the global economy. Saxenian is also author of the widely acclaimed Regional Advantage: Culture and Competition in Silicon Valley and Route 128 (Harvard University Press, 1994). Other publications include Silicon Valley’s New Immigrant  Entrepreneurs (Public Policy Institute of California, 1999), and Local and Global Networks of Immigrant Professionals in Silicon Valley (PPIC, 2002). She holds a Ph.D. in political science from MIT, a master’s in regional planning from UC Berkeley, and a B.A. in economics from Williams College.

Ph.D. Candidate
UC Berkeley School of Information

Elaine Sedenberg is a Ph.D. candidate at the University of California, Berkeley School of Information, where she is a National Science Foundation (NSF) Graduate Research Fellow and co-director of the Center for Technology, Society & Policy (CTSP). Her dissertation studies how private sector research practices and information sharing between industry and academics may shape the national R&D ecosystem. Previously, Elaine was a Science Policy Fellow at the Science and Technology Policy Institute (STPI) in Washington D.C., which is a Federally Funded Research and Development Center that supports the White House Office of Science and Technology Policy (OSTP), as well as the NSF and other agencies. She recently served (2014-2016) as Editor-in-Chief of the open access, student-run Journal of Science Policy and Governance (JSPG). Elaine holds a B.S. in Biochemistry from the University of Texas at Austin where she graduated with highest honors and a Dean's Honored Graduate distinction.

VP of Data Science
Jeremy Stanley is the VP of Data Science at Instacart, where he leads a team of data scientists and machine learning engineers to drive growth and profitability by optimizing logistics and using data to create personalized grocery shopping experiences. Before Instacart, Jeremy was Chief Data Scientist and EVP of engineering at Sailthru, building prediction and recommendation tools for hundreds of e-commerce and publisher platforms. Previously, he was the CTO of Collective, and founded and led the Global Markets Analytics Group at Ernst & Young (EY). He holds an MBA from Columbia Business School.
Vice President of Growth
Silicon Valley Data Science

Juergen Urbanski is the Vice President Growth at Silicon Valley Data Science.  As the former CTO for Deutsche Telekom’s $12 billion enterprise services division, he is passionate about ensuring enterprise customer success with and generating revenue growth from emerging technologies.  He brings particular expertise in driving a digital transformation for the business powered by big data, cloud and digital marketing.  At Deutsche Telekom, he built out a high-performing 62 FTE CTO function from scratch.  Juergen enjoys acting as a trusted advisor at CXO level to ensure enterprises are realizing maximum value from their investments in big data & analytics.  His personal journey over the last 20 years covers the entire IT life cycle from strategy to development, deployment, procurement and outsourcing.  Working for McKinsey, Microsoft, SAP, NetApp and Deutsche Telekom, he has picked up the skills that make the difference between success or failure of large-scale IT change initiatives. He obtained his MBA from the Wharton School.   Juergen’s perspectives on how to extract business value from technology have been featured in the Financial Times, Information Week, Wired, GigaOm, TDWI and other publications.

Research Professor
University of Southern California Information Sciences Institute

Greg Ver Steeg is a research professor in computer science at USC’s Information Sciences Institute. He received his Ph. D. in physics from Caltech in 2009 and since then has focused on using ideas from information theory to understand complex systems like human behavior, biology, and language. His work has been recognized with an AFOSR Young Investigator Award.

VP and CIO

Peter Weis is VP and CIO of Matson, a $2.2 billion global transportation and logistics company. Peter leads a global IT organization that is responsible for strategy, software development, infrastructure, high-availability operations and all levels of IT governance. Peter advises technology start-ups on product, commercial and organizational strategies, including a role as committee chairperson. He also led Matson Logistics’ supply chain business unit, which during the past three years has grown by over 50% annually. Prior to Matson, Peter was vice president of products at GT Nexus, a global supply chain software company, and CIO of APL Logistics. He holds an M.B.A. with honors from the Wharton School and a bachelor’s degree from the Haas School of Business. Peter is a 2014 inductee into the CIO Hall of Fame.

Data Scientist

Jonathan Woodbridge joined Endgame in 2015 after spending several years at Sandia National Laboratories.  He received his B.S. from Georgia Tech and M.S. and Ph.D. from UCLA all in computer science. Jonathan’s research interests include approximate nearest neighbor techniques, pattern recognition, and neural networks.  He has published over 20 academic papers, is the co-inventor on 4 patents, and was a recipient of the NIH/National Library of Medicine Medical Informatics Training Program Fellowship from 2009-2012.