Tim Rudner: Email & Phone Number

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Assistant Professor of Statistics and Computer Science at University of Toronto|New York, New York, United States

Position:

Assistant Professor of Statistics and Computer Science at University of Toronto

Location:

New York, New York, United States

View Tim Rudner's Email

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Last updated: 2026-07-29

Updated: 2026-07-29

Found email addresses for Tim Rudner:

Business emails:

t********r@utoronto.ca

Personal emails:

t********r@yale.edu,

**@georgetown.edu,

**@georgetown.edu

Found phone for Tim Rudner:

+1-***-***-7848

A different Tim Rudner?

Work Experience 12 years

Assistant Professor of Statistics and Computer Science at University of Toronto

Jan 2025 - Current

Canada CIFAR AI Chair & Faculty Member at Vector Institute

Jan 2026 - Current

Chief Scientist at vijil

Jan 2025 - Current

Junior Research Fellow, Trinity College at University of Cambridge

Jan 2025 - Current

Associate Member, Department of Computer Science at University of Oxford

Jan 2025 - Current

Faculty Associate, Berkman Klein Center for Internet and Society at Harvard University

Jan 2025 - Current

Affiliated Fellow, Information Society Project at Yale Law School

Jan 2025 - Current

Faculty Affiliate at Schwartz Reisman Institute for Technology and Society

Jan 2025 - Current

Faculty Affiliate at Oxford Martin AI Governance Initiative

Jan 2025 - Current

AI Fellow, Center for Security and Emerging Technology at Georgetown University

Jan 2019 - Current

Assistant Professor & Faculty Fellow at New York University

Jan 2022 - Jan 2025

Machine Learning Researcher at Frontier Development Lab (FDL)

Jan 2018 - Jan 2018

Research Consultant at European Central Bank

Jan 2016 - Jan 2016

Global Rates Trading Intern at Deutsche Bank

Jan 2014 - Jan 2014

Tim Rudner started working in 2014, then the employee has changed 13 companies and 12 jobs. On average, Tim Rudner works for one company for 1 year 8 months.

Tim is proficient in English, French, and German. Their professional focus is ArcGIS, Data Analysis, and Economics across 3 core areas.

Education

Doctor of Philosophy (DPhil), Computer Science at University of Oxford

Master of Science (MSc), Statistics at University of Oxford

Bachelor of Science (BS), Applied Mathematics, Economics at Yale University

Pembroke-King's Programme at University of Cambridge

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