Contact Details

Professional Summary

I help leaders learn what works, make better decisions, and drive ROI — formerly at Microsoft, Nike, and Marriott.

Independent Consultant, Causal Inference & Experimentation
Future of Science Consulting, Feb 2025 – Present

Won World Bank contract joint with NYU faculty (award May 2025) for an LLM-powered systematic review and meta-analysis of private-sector A/B testing programs.

Principal Data Scientist, Windows Data
Microsoft Inc., Aug 2023 – Jan 2025

Led enterprise-wide, backlog prioritization framework for Windows, enabling USD ROI ranking of all features. Endorsed by the CVP. Achieved 100% of my OKRs (peer median 66%).
Led Windows business model innovation effort, identifying opportunities to 2x annual revenue over five years ($20B+). Secured buy-in from Planning for piloting.
Influenced customer retention strategy for 500M+ Windows 10 devices. Resulted in adoption of data-driven OKRs and lift measurement frameworks for evaluating retention initiatives.

Principal Data and Applied Sciences Manager, Windows Engineering
Microsoft Inc., Dec 2020 – Jul 2023

Designed and led Microsoft’s first-ever enterprise-scale experiment measuring the lift of a full OS release, coordinating 38-person v-team across eight orgs. Informed C-suite decisions.
Initiated, designed, and led the first randomized controlled trial (RCT) to measure the lift of personalized recommendations in Windows Start Menu. Improved CTR by more than 50%.
Championed agile ROB, experiment design checklists, and intake processes. Achieved 150% of experimentation goal, contributing to team Thrive Score eight points above data org.

Director of Marketplace Analytics
Marriott International Inc., Jul 2019 – Dec 2020

Director of Product Management, Advanced Analytics and Machine Learning
Nike Inc., Oct 2018 – Jun 2019

Built machine learning infrastructure and new demand signals, projected to yield $100M - 300M in additional revenue through improved forecasts and demand planning.
Persuaded a 1,500 strong demand planing org to begin adopting machine learning, and automation. Rated highly successful in leadership skills.
Hired and led product team, created agile ROB, and built roadmap for forecasting observability tools to support $10B+ in annual purchases.

Technical Founder
Cambridge Social Science Decision Lab Inc., Oct 2013 – Apr 2018

Raised $2M seed round and led development of a Test & Learn SaaS platform for business users, enabling offline A/B testing and simplified campaign lift measurement.

Research Fellow
Harvard T.H. Chan School of Public Health, Sep 2010 – Feb 2013

Led the introduction of applied game theory and causal inference to flagship doctoral seminar on health systems reform. Resulted in a Lecturer job offer (declined).

Economist
The World Bank Group, Nov 1999 – Aug 2006

Implemented state-of-the-art automated data systems and time series forecasting models for risk committee. Resulted in more detailed, timely, and frequent reports, with a smaller team.

Ph.D. Political Methodology, New York University, 2010. Completed in 4 years.
M.A. International Economics, Johns Hopkins University. Distinction.
B.A. Politics, Philosophy and Economics, University of Oxford.

Product Strategy & Execution: Lean Startup, Digital Transformation, Product Roadmaps, Growth Hacking, Business Model Innovation, Scrum, Objectives and Key Results (OKR), Cross-functional Communication.
Technical Skills: Causal inference, Econometrics, A/B Testing, Time Series Forecasting, CRISP-DM, Machine Learning, Funnel Analytics, Segmentation, Campaign Attribution, Cross-Channel Reporting, Generative AI with LLMs (Coursera certificate), Meta-Analysis.
Scientific computing: R, Python, Stata, EViews, Stan, Aremos, Git, AWS, SageMaker AI, SQL, NetLogo.

Download: Resume (PDF) | Full CV (PDF)