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Consulting and Advising
I work with companies and investment funds to help them build core AI and Data Science capabilities and products, improve operational efficiency, and develop a comprehensive AI strategy. I have served as the Chief Data Science Advisor for Shipt Inc., Senior Advisor to Uber Inc., and scientific advisors to a number of startups as well as venture capital and private equity funds. Below are some examples of high-impact client AI-driven products that I have helped develop from conception, design, to wide deployment:
- Uber: Dynamic pricing framework for Uber Freight
- Shipt & Target: marketplace AI engine for Last Mile Delivery
I work with business leaders around the world, both at Stanford and elsewhere, to help them with strategic and organizational decisions, especially in AI and Data Science. I co-developed and co-teach the intensive course on AI and Data Science Strategy, the first course at Stanford that focuses on the strategy, management and entrepreneurship principles of AI and Data Science.
With corporate leaders and executives, I organize workshops and executive sessions to help them prepare for and succeed at some of the biggest challenges in developing AI and Data Science capabilities:
- How to develop a successful AI and Data Science strategy?
- How to innovate in Data Science and AI and integrate them into existing operational flows at scale?
- The best practices in developing ML/AI-heavy products and work processes.
I also work with venture capital, private equity and large investment funds to on topics ranging from developing a long-term AI and Data Science strategy, understanding the economic models for AI-focused companies, and how to leverage Data Science in portfolio companies.
At Stanford, I teach extensively with the Stanford GSB executive education programs, including The Stanford Executive Program (SEP), The Emerging COO and The Stanford-Endeavor Executive Program on AI and Data Science Strategies.