ERIC JONAS, CEO
As CEO, Eric still manages to find time in the off hours to build scalable MCMC samplers. He did both undergrad and graduate work in EECS and Neurobiology at MIT. Eric’s long term goal is to use the Reverend Thomas Bayes to defeat the Reverend Thomas Malthus. @stochastician
VIMAL BHALODIA
Vimal works on business development for us, though he’s occasionally caught hacking in Python rather than Powerpoint. He has degrees in computer science and management from MIT and an MBA from the University of Michigan.
CAP PETSCHULAT
Cap is the principal architect responsible for developing, scaling, and deploying our public-facing APIs and their supporting cloud infrastructure. He eats Python and C++ as part of a balanced breakfast, and has a degree in mathematics from Boise State University.
BEAU CRONIN
Beau develops newer and better ways of applying our inference and prediction technology to real business problems. He is a master of big data analysis and visualization, and has a degree in computer science from UC Berkeley and a PhD in neuroscience from MIT.
MAX GASNER
Max crafts the client-side user experience for our products and uses them on actual projects to ensure our dogfood is of the very highest quality. He lives in R and has a degree in dead South Asian languages from the University of Chicago.
JONATHAN GLIDDEN
Jonathan works on validating and improving the core inference engine as well as implementing supporting infrastructure. He joined us fresh out of UC Berkeley, where he received a degree in mathematics.
FRITZ OBERMEYER
Fritz works on our core inference engine and on new inference algorithms. He has spent lots of time at the intersection of probability and discrete structures, ranging from PhD work in probabilistic theorem proving at Carnegie Mellon to multiple target tracking for missile defense.
SHELLY DEVRIES
Shelly is our intern working on everything from market research to application engineering. She is currently a junior at UC Berkeley, studying economics, rhetoric, and bioengineering.