True wealth is your community. The Data Guild brings together deeply experienced data scientists, social scientists, designers, engineers, and company builders with diverse backgrounds to tackle important challenges. The team has decades of experience from working with governments, nonprofits, non-government organizations, technology startups, and large multinational corporations. Members of the Guild have also built multiple successful technology companies.
Chris has extensive experience defining and developing analytics for a variety of sensemaking and prediction tasks. As the principal data scientist at Jive Software, Chris focused on designing and developing advanced analytics for enterprise social search and online community health assessment. Prior to Jive, Chris spent over ten years as a senior research scientist at The Johns Hopkins University Applied Physics Laboratory and Lawrence Livermore National Laboratory. There he defined and developed machine learning approaches to address a variety of inference challenges across the Department of Defense and intelligence community. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University.
A serial entrepreneur, David was Chief Social Scientist at Jive Software (JIVE) as Chief Scientist, part of the team that led Jive through a successful IPO in 2011. He joined Jive after it purchased his company, Proximal Labs, a machine learning startup that personalized information in enterprise social networks. Prior to Proximal, David was co-founder and CTO at Social Kinetics, a behavioral health spin-out from SRI International sold to RedBrick Health in 2010. Previously he was a member of SRI’s Artificial Intelligence Center, serving as Product Manager for the largest machine learning project in the U.S. Government’s history, DARPA’s PAL program, and worked extensively with national security customers post-9/11. He is an active early stage investor and an advisor to GE Ventures, Accenture Technology Labs, the World Economic Forum, and the InHealth Program at Johns Hopkins University. David’s background is in economics with a focus on social network theory. He taught at Stanford University, and holds a BA from Principia College, and a Masters and PhD in economic history from Johns Hopkins University.
Combining an extensive background in product research, data analysis, program management, and software development, Cameron co-founded The Data Guild in 2013. Prior, he founded and served as CEO of ClickStream Technologies which was acquired by Microsoft in 2009. While at Microsoft, he managed the Windows Telemetry team, responsible for all inbound data for all Microsoft products and partners, including the Windows Error Reporting system and Customer Experience Improvement Program. Cameron earned a B.A. in Architecture from Dartmouth College, an MBA from Oxford University and an M.S. in Statistics at Stanford University. He is an active member/speaker with various tech groups and conferences: Churchill Club, BayCHI, Wrangle and O’Reilly Strata/Solid.
Aman is a senior data scientist with a decade of helping organizations implement data and information management products. Aman has full-spectrum experience as a business analyst, project manager, and technical lead. He received his B.S. in Electrical and Computer Engineering from Worcester Polytechnic Institute with a focus on signal analysis and mathematical modeling of semiconductor structures.
Scott Becker is a partner at Olio Apps, a software consulting company in Portland Oregon. He has built numerous systems, from a marketplace for geospatial datasets, to HIPAA compliant video streaming services for the medical industry, to visualizations of anomalies in data security products. He is currently building a next generation time tracking system at www.shoutbase.com
. He recently was the technical reviewer for the book “Data Visualization with D3 4.X Cookbook”.
Rodrigo is an information security researcher with a background in threat intelligence, security analytics, and privacy technology. Named a Global Privacy Scholar by the IAPP, he is also currently a T.J. Watson Fellow exploring ‘Trust in Technology’. He previously worked as a consultant to the finance and technology industries designing advanced analytic programs, and at companies like Palantir building products at the intersection of data science and security.
Josh is a software engineer and program manager with 5 years of experience building and managing data services at Microsoft. He specializes in understanding diverse data sets and complex partner requirements to drive creation of new tools and approaches for generating valuable insights. Josh has worked extensively with software reliability and usage data, and earned his B.S. in Computer Science Engineering from the University of Pennsylvania. He enjoys electronic music, large-scale art projects, and thinking about how best to increase the global supply of renewable energy.
Throughout his 15+ years of experience, Julian has led many challenging, first-of-their-kind software projects to successful completion. His areas of expertise include Advanced Technology Research and Development, Web 2.0, Human Computer Interaction, Collaborative Systems, Ajax, Rails, Linux, Artificial Intelligence, Cryptography, Enterprise Content Management, Digital Rights Management.
Shantanu is a world renowned expert in self-powered sensors, floating-gate circuits and energy scavenging sensors, and a tenured professor in the Department of Electrical and Computer Engineering at Michigan State University (MSU). At MSU, his research has been supported by the National Science Foundation, the National Institutes of Health, the Department of Defense and the Department of Transportation.
Glen is a senior research scientist with the Human Language Technology Center of Excellence at Johns Hopkins University and a member of the Johns Hopkins University departments of Applied Math and Statistics and Electrical and Computer Engineering. Glen’s background is broadly interdisciplinary, spanning computer science, graph theory, psycholinguistics, neuroscience, and computational psychiatry — all united by applying principled statistical pattern recognition to challenges across a range of real-world applications. Though he enjoys getting his hands dirty with real data, Glen prefers the natural wild as an avid rock climber, kayaker, hiker, and photographer.
Beau is a product-focused technologist. After undergraduate computer science training at UC Berkeley, he obtained his PhD in computational neuroscience from MIT in 2008. He co-founded two machine learning companies with fellow grad students, the second of which was acquired by Salesforce in 2012. Beau is happiest in roles that bridge product definition and technical implementation, and he has significant experience with serverless cloud architectures, Bayesian machine learning, Python-flavored data science and engineering, and full-stack web development. He is also obsessed with web-based virtual reality (WebVR).
Tina is an Associate Professor of Computer Science at Rutgers University. Tina earned her Ph.D. in Computer Sciences, with a minor in Mathematical Statistics, at the University of Wisconsin-Madison. Within data mining and machine learning, Tina’s research has been applied to the World-Wide Web, text corpora, large-scale scientific simulation data, complex networks, and cyber situational awareness.
Matt is a software architect and engineer with extensive experience designing, building, and maintaining data products with a focus on interaction and visualization. He has been principal architect on numerous large-scale systems, including advanced analytics & reporting tools, a realtime product recommendation engine, and a Computerized Maintenance Management System designed to reduce building operation costs and energy use. Matt’s B.S. in Computer Science is from Washington University, with a focus on graphics and visualization.
Russ is a master plumber/data architect/full stack engineer: routing data from the wild into horizontally scalable distributed systems for reporting, interaction, analysis, and learning, and back out again to mobile and web applications. He is the author of the practical Big Data guide, Agile Data Science, O’Reilly 2013, and Big Data for Chimps, O’Reilly 2015. In addition, Russ is an Apache Committer on the Incubating DataFu project.
is a software engineer and entrepreneur specializing in scaling social enterprise operations. One of his current projects is developing a micro-farming management mobile app for a Danish agriculture school in Mozambique to help the locals build sustainable micro-farming businesses. Previously, Paul
was a lead engineer at a Y Combinator startup, a co-founder and CTO of Spokepoint, and a data scientist at uSwitch UK. He holds a M.A.Sc
. in Biomedical Engineering from University of Toronto and a B.A.Sc
. in Electrical Engineering from University of Waterloo.
is a data scientist and behavior designer specializing in getting organizations up and running with analytics. As a data design strategist, her focus goes beyond engineering data technology, to using behavior, neuroscience, and design principles to expose the synergy potential between data technologies and the humans that make sense of them. She received her B.A. in Sociology from Stanford University.
Sandy is a quantitative social scientist whose past work has ranged from tracking student achievement in public education systems to producing business intelligence for new media outlets and measuring the growth of early stage startups. Her portfolio includes work for The New York Times, Stanford University, and StartX. She received her M.A. in applied statistics from Columbia University, and her B.A. from Stanford University.
Aron is a principal engineer who works at Olio Apps LLC. He is a generalist with a passion for leading small teams of talented engineers to solve big software challenges. Aron is skilled in many computer language dialects and frameworks, and is comfortable with mobile and web server development, in a wide range of verticals, ranging from social business software, medical informatics, and many more.
Jody has over 25 years of global healthcare experience and is the author of, “Connected Health: How Mobiles, Cloud and Big Data will Reinvent Healthcare
”. Co-Director of Digital Health for the TM Forum and advisor to PwC and several startups, he has led teams at the mHealth Alliance, IFTF, InSTEDD as well as consulting with the UN and Grameen Bank. He holds a Ph.D. from U.C. Berkeley in Health Policy and Administration and is working on his second book, on cooperation and digital health.
Charlotte’s driven to bridge cutting-edge technology, policy, and sustainability to improve lives. She’s a global project manager and communications expert with a Masters from the University of Cape Town in international relations, a PhD from Stanford that’s interdisciplinary, and 11 years of professional experience working with and within technology groups, governments, think tanks, regulators, and non-profits across Europe, Africa, Asia, Latin America, and North America.
Sean is a computational social scientist specializing in field experiments on web and mobile platforms. His research interests include causal inference techniques, social influence processes, information credibility, and evaluation of predictions. Sean received his Ph.D. in information systems at NYU’s Stern School of Business and holds a B.S. in economics from The Wharton School.
Matt builds data products and machine learning systems. He has played key roles on research teams addressing challenges in a variety of industries. His past experience includes creating systems for environmental modeling, human activity classification, industrial control, and gesture recognition. Matt studied physics at Caltech. While not hacking data, he enjoys teaching and swimming in the always invigorating San Francisco Bay.
Ciro is Research Director of the ISI Foundation, a 30-year old research institution that tackles challenges in complex systems science, network science and data-intensive mathematical modeling. He co-founded SocioPatterns, a research effort aimed at developing analytics on top of wearable sensor data from human networks. He is especially interested in the impact of data science on healthcare, epidemiology and public health, and is a member of the WHO Collaborating Center on Complexity Science for Health Systems. Ciro holds a PhD in theoretical Physics from the University of Perugia, Italy and taught at the University of Michigan in Ann Arbor, at the Sapienza University of Rome, and at the Frontier Research System of the RIKEN Institute in Japan.
Paco has led innovative data teams building large-scale applications for 10+ years. As a recognized expert in distributed systems, machine learning, predictive modeling, cloud computing, enterprise data workflows, and open data, Paco is an O’Reilly author (“Enterprise Data Workflows with Cascading”) and a developer evangelist for the Mesos and Cascading open source projects. Paco received his B.S. in Math Science and M.S. in Computer Science from Stanford University, and has 25+ years technology industry experience ranging from Bell Labs to startups.
Jake is the founder and executive director of DataKind, an organization that brings together leading data scientists with high impact social organizations to better collect, analyze, and visualize data in the service of humanity. Jake was most recently the data scientist in the New York Times R&D lab and remains an active member of the data science community, bringing his technical experience from his past work with groups like NASA, DARPA, Google, and Bell Labs to bear on the social sector. He holds a B.S. in Computer Science from Columbia University and his M.S. and Ph.D. in Statistics from UCLA and can be seen on National Geographic Channel as the host of the Numbers Game.
Shawn has a passion for data and deep experience in predictive modeling, statistical & machine learning, data & text mining, and information retrieval, with considerable experience in transaction level fraud reduction.
His love of innovation has led him to key positions in a number of northwest ventures including Chief Scientist at Visible. He has also held leadership roles at Fortune 500 companies First Data, IBM, and Motorola. He holds a degree in computer science from Washington State University.
Steven is Director of Technology Vision at Accenture. The Technology Vision is the firm’s premier thought leadership initiative used to guide R&D and growth strategies for Accenture and its top-tier clients. Most of Steven’s career has focused on high-impact and highly-scalable projects in the public sector. Prior to Accenture, Steven led numerous global programs for Cisco’s Connected Urban Development initiative and went on to lead the Smart+Connected Communities Institute at Cisco. He has also led R&D for a global digital media firm and started several entrepreneurial ventures. Steven lives in San Francisco and holds a B.S. in Computer Science Engineering, Information Systems and a MBA in Sustainable Management.
Josh is Cloudera’s Director of Data Science, working with customers and engineers to develop Hadoop-based solutions across a wide-range of industries. Prior to joining Cloudera, Josh was at Google, where he worked on the ad auction system and then led the development of the analytics infrastructure used in Google+. He earned his B.S. in Mathematics from Duke University and his M.S. in Operations Research from The University of Texas at Austin.
Thomas Leung is pursuing a Master of Science in Statistics at Stanford University. He earned a Bachelor of Science in Biochemistry and Economics from the University of British Columbia, where he worked as a Research Assistant in the Department of Economics and as a Teaching Assistant in the Department of Computer Science and the Faculty of Medicine. He enjoys practicing Taekwondo in his free time.
Irina is currently pursuing a Master of Information Management and Systems degree at UC Berkeley. She is focused on data analytics and social media. Before school she worked at GoPago, a mobile payments startup which was acquired by Amazon. Irina brings 7 years of financial experience working for such companies as Fiserv, Morgan Stanley and M Financial Group. Her hobbies are running marathons, surfing and travel.
Gideon is pursuing a Bachelor of Science in Computer Science at Tufts University. His previous projects have involved modeling churn and classifying text. In his free time he enjoys basketball and hiking.
Lusann Wren Yang
Lusann earned her Ph.D. on novel data mining techniques for applications in the field of materials science at Harvard University. She has broad scientific and engineering interests, having worked on projects ranging from autonomous car development, to blood glucose control in intensive care units, and modeling hydrogen production in algae and shunt current inefficiencies in fuel cells (Harvard 2008). Lusann is joining us for the summer before starting a full-time position at Google this Fall.