Alex Siegman

Alex Siegman joined NYU Stern as an Adjunct Professor in September, 2019.

Professor Siegman is an experienced leader in the Machine Learning space focused on managing projects, products, and people so as to successfully design, develop, and deploy revenue-driving technologies across place and time.

In addition to serving the NYU Stern community as an adjunct professor, he works as Program Manager at Google in their AI Research division.

Courses Taught

• Dealing with Data
• Projects in Programming and Data Science

Academic Background

M.S., Journalism Columbia University Graduate School of Journalism

B.S., Philosophy, Neuroscience, and Psychology Washington University in St. Louis

Companies

• Machine Learning Technical Program Manager II, Google AI Google (2021)
• Adjunct Professor NYU Stern School of Business (2019)
• Machine Learning Program Manager II, Google AI Google (2021 — 2021)
• Director, Automation and Machine Learning, Barron's Group Dow Jones (2020 — 2021)
• Sr. Technical Program Manager, Data Science and Machine Learning, Dow Jones Dow Jones (2019 — 2020)
• AI Technical Program Manager, Dow Jones Dow Jones (2018 — 2019)
• Technical Audience Strategist, Wall Street Journal Dow Jones (2017 — 2018)
• Research Fellow The Associated Press (2017 — 2017)
• Editorial Intern SportTechie (2016 — 2017)