Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Panel: Causes

Bradley Voytek (UC San Diego ), Jana Eggers (Nara Logics), Jonathan Foster (Microsoft), Brian Rieger (Labelbox), Rachel Thomas (
12:00pm12:30pm Tuesday, March 26, 2019
Location: 2024
Average rating: *****
(5.00, 4 ratings)

Following the review of problematic technologies, we’ll hold an interactive discussion with speakers and invited guests to dig deeper into neuroscience, analytics, and more.

Photo of Bradley Voytek

Bradley Voytek

UC San Diego

Bradley Voytek is an associate professor in the Department of Cognitive Science at UC San Diego and is the inaugural Halıcıoğlu Data Science Institute Fellow. In addition, he’s an Alfred P. Sloan Neuroscience Research Fellow and National Academies Kavli Fellow as well as a founding faculty member of the UC San Diego Data Science program and the Halıcıoğlu Data Science Institute. His research lab studies the computational role that neural oscillations play in coordinating information transfer in the brain. To do this, they combine large-scale data mining and machine learning techniques with hypothesis-driven experimental research. He’s also known for his zombie brain “research” with his friend and fellow neuroscientist Timothy Verstynen, with whom he has published the book Do Zombies Dream of Undead Sheep?

Photo of Jana Eggers

Jana Eggers

Nara Logics

Jana Eggers is CEO of Nara Logics, a neuroscience-inspired artificial intelligence company providing a platform for recommendations and decision support. A math and computer nerd who took the business path, Jana has had a career that’s taken her from a three-person business to fifty-thousand-plus-person enterprises. She opened the European logistics software offices as part of American Airlines, dove into the internet in ’96 at Lycos, founded Intuit’s corporate Innovation Lab, helped define mass customization at Spreadshirt, and researched conducting polymers at Los Alamos National Laboratory. Her passions are working with teams to define and deliver products customers love, algorithms and their intelligence, and inspiring teams to do more than they thought possible.

Photo of Jonathan Foster

Jonathan Foster


Jonathan Foster is the principal content experiences manager at Microsoft, where he leads the Windows and content intelligence writing team. Their work includes UX writing, designing personality and voice within products and experiences, and authoring and designing conversational interactions for products and experiences. He built the writing team for Microsoft’s digital assistant Cortana for the US and international markets, which focused on the development of Cortana’s personality while crafting fun, challenging dialogue. They’re now expanding upon this knowledge to create a personality catalogue for Microsoft’s Bot framework and train a deep neural net conversational model to support those personalities. Jonathan started out in film and television writing screenplays and working in development. He was eventually drawn away from Hollywood by the true innovative spirit of the tech industry, starting with an interactive storytelling project that was honored by the Sundance Film Festival.

Photo of Brian Rieger

Brian Rieger


Brian is Rieger is cofounder and COO of Labelbox, the industry-leading training data software that is accelerating global access to artificial intelligence. An accomplished aerospace engineer, data scientist, and software developer turned serial entrepreneur, Brian began his career doing aerodynamics, testing, and flight certification of the Boeing 787 Dreamliner. He then built an aerospace company that put hardware on the International Space Station. Brian was recognized as one of Forbes’s “30 under 30” for transforming enterprise technology with machine intelligence.

Photo of Rachel Thomas

Rachel Thomas

Rachel Thomas was selected by Forbes as one of “20 Incredible Women in AI”, was an early engineer at Uber, and earned her math PhD at Duke. She is co-founder of, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken, and she is also a professor at the University of San Francisco Data Institute. Rachel is a popular writer and keynote speaker on the topics of data science ethics, bias, machine learning, and technical education. Her writing has been read by nearly a million people and has made the front page of Hacker News 9×.