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.

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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 novel experimentation designs to measure lift of retention initiatives.

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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 to measure the lift of personalized recommendations in Windows Start Menu. Improved CTR by >50%.

• Championed agile ROB, experiment design checklists, and templates. 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

• Spearheaded customer analytics and omni-channel measurement strategies for new digital initiatives and partnerships (Uber, EAT), enabling real-time performance tracking.

• Evangelized machine learning and data-driven customer acquisition for Homes & Villas, resulting in a new marketing partnership, and additional resource commitments.

• Implemented lean startup innovation framework for Travel Marketplace digital app initiatives, accelerating a data-driven feedback loop.

 

Director of Product Management, Advanced Analytics and Machine Learning

Nike Inc., Oct 2018 – Jun 2019

• Built machine learning infrastructure, and new demand signals estimated to yield $100-$300M in additional revenue through better demand forecasts.

• Persuaded a 1,500 strong 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 forecast monitoring and observability solutions to support $10B+ in annual purchases.

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Technical Founder

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

• Negotiated $2M seed round, and software development agreement for equity swap to build a platform for offline A/B tests, simplifying experimentation for business users.

• Led product, design, and engineering team. Agreed individual Objectives and Key Results (OKRs). Delivered MVP on time and within budget.

• Led customer discovery process and hiring. Achieved a 75% job offer acceptance rate, and above average conversion metrics.

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Research Fellow, Department of Global Health and Population

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, Development Economics Vice-Presidency

The World Bank Group, Nov 1999 – Aug 2006

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