Aug 2023 – Apr 2024 · 8 mos

Sep 2021 – Aug 2023 · 1 yr 11 mos

• Lead two applied Machine Learning teams building recommendation systems and ML tools to support content decisions. We tackle problems like content ranking and classification, personalization, and performance benchmarking using a wide variety of approaches, including multi-armed bandits, statistical modeling, transformer models, and other text embedding techniques.
• Set content ML strategy geared toward achieving the Times' business and editorial goals, in close alignment with product and newsroom leadership. Develop roadmaps and evaluation frameworks (including AB testing and universal holdouts).
• Collaborate with product engineering teams to integrate recommendation algorithms with publishing systems and a wide array of products, including the New York Times homepage, newsletters, articles, and recipes.
• Partner with the ML platform team to evolve NYT's capabilities for deploying batch and real-time ML models at scale.

May 2020 – Oct 2021 · 1 yr 5 mos

Dec 2018 – May 2020 · 1 yr 5 mos

Sep 2017 – Dec 2018 · 1 yr 3 mos

Jun 2017 – Aug 2017 · 2 mos

Sep 2012 – May 2017 · 4 yrs 8 mos · New York City Metropolitan Area

• Applied machine learning models to human cognition (e.g., causal Bayes nets, active learning, dynamic programming - mostly implemented in Python and R) based on data collected through online experimentation and simulations.
• Built and deployed JavaScript-based experiments using simple Flask APIs.
• Conducted statistical data analyses using classical statistical approaches and hierarchical Bayesian models.
• Published 5+ first-author articles in well-known Cognitive Science journals and presented research at international conferences.
• Taught graduate and undergraduate seminars in quantitative methods, scientific computing, and Cognitive Science, including:
• Robots, brains, and the human mind (Undergraduate, NYU), 2016
• Mathematical tools for cognitive and neural science (Graduate, NYU), 2015
• Cognition (Undergraduate, NYU), 2014

Jan 2011 – Jul 2012 · 1 yr 6 mos · London Area, United Kingdom

• Designed behavioral experiments, ran statistical analyses, conducted qualitative research, and built automated reporting pipelines for big UK retailers.
• Developed tailored recommendations founded in behavioral science and experimentation, helping clients hone their pricing strategy, choice architectures, and advertising campaigns.

Jun 2009 – Sep 2009 · 3 mos · Berlin

Jan 2007 – Jun 2009 · 2 yrs 5 mos · Berlin Metropolitan Area