Michael Zhou is an accomplished data scientist with extensive experience in revenue operations and growth strategies across various high-profile companies. From 2020 to 2022, Michael worked at Lyft, focusing on revenue operations science, followed by a role at DoorDash from April 2022 to November 2023, concentrating on new verticals growth. Prior experience includes a position as a business consultant at Applied Predictive Technologies and a portfolio management analyst at Starwood Capital Group. Additionally, Michael has served as a private wealth management analyst at UBS and a scientific researcher at the University of Alberta. Currently, Michael is a data scientist at Meta since September 2025, and at Patreon from 2023 to 2025, specializing in creator growth and fan activation. Michael holds a Bachelor of Arts degree in Philosophy, Politics & Economics from the University of Pennsylvania, graduating summa cum laude.
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