Led by an experienced team of academics and operators
Tobi has a Ph.D. from Stanford University and has a background in researching public opinion at the forefront of Machine Learning, leveraging a plethora of disparate data streams including everything from cell-phone telemetry data to survey data to behavioral news consumption data.
Tobi has published his work widely both in the academic and popular press, and his research has been covered by The New York Times, The Atlantic, etc. Before founding Ocurate, Tobi was part of Facebook Research.
David has a Ph.D. in applied economics from the Wharton School of Business at the University of Pennsylvania. He has written extensively, in both the academic and popular press. His work pushes the boundaries on varying data and methods: polling, prediction markets, social media and online data, and large behavioral and administrative data.
His work focuses on solving the most relevant applied questions including mapping and updating public opinion, the market for news, the effect of advertising, finance, and an economist’s take on public policy.
Aaron is a postdoctoral fellow at Columbia University's Data Science Institute. His research contributes to Bayesian statistics and causal inference, as well as to core areas of computational social science such as text, network, and time-series analysis.
His recent research in collaboration with the labs of David Blei and Donald P. Green uses large-scale digital field experiments to assess the causal effect of friend-to-friend texting on voter turnout in US elections. He obtained his Ph.D. on scalable Bayesian methods for analyzing dynamic networks of international relations from the College of Information and Computer Sciences at UMass Amherst under the guidance of Hanna Wallach. He also earned an M.A. in Linguistics and a dual B.A. in Political Science and Linguistics from UMass Amherst. Prior to joining PredictWise, he has worked in the industry at Google, Microsoft Research, and the MITRE Corporation.
Giovanna is a Data Scientist switching careers after several years in Communications. She is a graduate from Flatiron School Data Science Bootcamp and has written on a variety of Data Science topics for Towards Data Science, The Startup, and Level Up Coding.
Before joining PredictWise she has worked for clients such as Shutterstock, Listerine, Johnsons Baby, Aveeno, HP, and Bank of Brazil. She has been involved in social equity and racial justice organizations for many years. Giovanna is enthusiastic about using data analysis and machine learning to effect change and make the world better, one algorithm at a time.
There are at least two experiences that led Richard to join Ocurate: Selling affiliate marketing technology at Performance Horizon (now Partnerize), and his tenure at Hustle where he led efforts to expand tech used for political campaigns into new commercial markets.
In this context, he closed contracts with multiple Fortune 50 companies across various verticals including retail, hospitality, property insurance, B2B, and manufacturing.
Anand is a start-up specialist with 17 years of cross geographic experience working with numerous start-ups to mature setups in the US and India. He has expertise in building an ecosystem for companies and has successfully hired, coordinated, and proactively managed various remote teams in strategizing and executing business operations.
Anand has an MBA in International Business from the New York Institute of Technology. Prior to Ocurate, Anand has worked with companies in Media, Sports, Consumer, Technology, HR, and non-profit.