Mohammad is passionate about automating investment, as the new Turing test for AI. As a consultant, he has managed AI activation of top-20 private equities and many other funds to automate the fund investment processes as well as the portfolio companies. As an AI researcher, his papers on AI for markets in top AI conferences and journals have 450+ citations. Also, as an educator, he has co-taught a course at Stanford Graduate School of Business for "Empirics of Online Markets". He has PhD in Electrical and Computer Engineering, working with Nobel prize winners, and MSc in Economics.

Work Experience

He has worked on AI as a researcher, engineer, management consultant, and educator. His AI work experience has been focused on investment funds, marketplaces, and recommendation systems. He has also experience in startups including CEO and CTO roles.

MCKINSEY & COMPANY
Consultant

Managed AI response of top-20 private equities for automating both fund processes and portfolio companies

STANFORD UNIVERSITY
AI researcher at Management Science and Eng. Dep. (MS&E)

Led research teams to develop AI algorithms and recommendation systems, and to apply AI for online markets and sustainability

STANFORD GRADUATE SCHOOL OF BUSINESS
Instructor

Initiated and co-taught the course on Empirics of Online Markets to PhD and MSc students

MICROSOFT CORPORATION
Electrical Engineer

Proposed and led crowdsourcing audio tests, using data analytics, applied to Surface Hub

UNIVERSITY OF MICHIGAN
Research Assistant

Conducted research on AI for markets and dynamic systems applied to sustainability and security

ETICK STARTUP
Co-Founder and CTO

Established the technical team with in-house data analytics capabilities for smart public transportation

Research Experience

Mohammad Rasouli's AI research at Stanford and at the University of Michigan has been on AI for markets. In his research, he has worked closely with companies including Goolge, Facebook, Amazon, Uber, Lyft, DoorDash, PG&E, and Maktabkhooneh. His papers in top AI conferences have 450+ citations . Also during his academic time, he has worked with Prof. Demosthenis Teneketzis (PhD advisor), Prof. Paul Milgrom, Prof. Peter Glynn, Prof. Michael Jordan, Prof. Ramesh Johari, Prof. Paulo Somaini, and Prof. Ram Rajagopal. He obtained his Ph.D. in Electrical and Computer Engineering and Masters in Economics working with a thesis committee of Stanford, Harvard, and MIT professors, including Nobel prize winners.

Google Scholar

White Paper on AI for Investment:

AI Theory and Tools (Selected):

AI Applications (Selected):