CV

Education

• Ph.D., Stanford Graduate School of Business, 2021
• M.S. in Statistics, Stanford University, 2020
• M.Phil. in Economics (Research Track), University of Cambridge, 2016
• B.A. in Economics (High Honors), Bogazici University, 2015

Work experience

• 2022 - Present: Google, Senior Data Scientist - Research
  • Jan 2025 - Present, Google Search: Generative AI evaluations and model quality.
  • June 2022 - Jan 2025, Google Econometrics: Machine Learning, Causal Inference. Analysis and tooling.
• 2021 - 2022: Uber Technologies, Applied Scientist II
  • Experimentation Science: A/B testing and marketplace experimentation systems.
• 2020 Summer: Facebook Core Data Science, Research Intern
  • Internal research, analyzing the launch of an ads product using machine learning and causal inference techniques.

• 2017 - 2021: Stanford Graduate School of Business, Research & Teaching Assistant

  • Data-Driven Impact, with Susan Athey and Niall Keleher (Winter, Spring 2020), Master’s Level: Linear and logistic regression, neural networks, matrix completion, word embeddings, topic models, and recommendation systems. Collaborations with external social impact startups. (Link to Student Evaluations)

  • Data and Decisions, with Peter Reiss (Summer 2019), Master’s Level: Introduction to statistics.

  • Microeconomic Theory, with Dana Foarta (Fall 2019), Ph.D. Level: Covered fundamental Ph.D. level microeconomics from Mas Colell & Whinston & Green. (Link to Student Evaluations)

  • Research Assistant to Shoshana Vasserman & Greg J. Martin (2020-21), Steven Callander (2020), Takuo Sugaya and Avidit Acharya (2019-20).

• 2016 - 2017: JPMorgan & Chase London, Business Analyst

  • I managed global projects and conducted strategic analysis to inform the business strategy in response to Brexit.

• 2014: Koc University, Research Assistant

  • Data entry and analysis for an experimental project analyzing behavioral interventions covering more than twenty primary schools and thousands of students.

• 2013 - 2015: Bogazici University, Teaching Assistant

  • Game theory, micro- and macroeconomics and mathematical statistics courses at introductory and advanced levels.

Publications, Presentations at Conferences, and Research

• Link to Publications Page
• Joint Statistical Meetings 2024
• CausalAI Conference San Francisco, June 2024, Invited Speaker
• NABE Tech Economics Conference, November 2023
• INFORMS Annual Meeting, October 2023
• ACM WWW - Special Track on Web for Good, April 2022
• Econometric Society World Congress, Summer 2020
• NBER Young Scholars Workshop on the Economics of Artificial Intelligence, September 2019

Honors And Awards

• Stanford GSB Ph.D. Fellowship, 2017-2021
• Economics Faculty Bursary, University of Cambridge, 2016

Computer Skills & Languages

• R, Python, C++, SQL, Spark, Stata, Matlab, Julia, ArcGIS, LaTeX, VBA, Unix
• Languages: English, French, Turkish

Other & Service

• Referee for: IEEE Symposium on Information Theory
• President, Stanford GSB Ph.D. Student Association (2019-2020)
• Social Events Officer, Stanford GSB Ph.D. Student Association (2018-2019)
• Volunteer Teaching Assistant for Visually Impaired Students, Bogazici University (2013-2014)