First-principles thinking.
Production-grade execution.
I operate where academic rigor meets engineering reality. I don't just design models; I architect the pipelines that feed them and the APIs that serve them.
Fluent in five natural languages, I have a mind wired for syntax and structure - allowing me to master new tech stacks rapidly. I specialize in translating messy, real-world complexity into strict algorithmic logic that drives business impact.
System Logs / Experience
// EXECUTION HISTORY
Chewy
2025 — Present> Staff Research Scientist
Architecting a high-precision attribution engine to calculate P&L at the SKU, order, and customer level. Exposing granular economic drivers via API to a conversational interface.
Chewy
2022 — 2025> Associate Director, Economist
Developed long-range scenario forecasts and synthetic demand models for supply chain planning. Quantified the causal impact of shipping speed on customer retention.
National Association for Business Economics (NABE)
2020 — Present> Roundtable Chair (AI, Consumer, Tech)
Leading industry discussions on AI and economics. • AI Roundtable Chair (2025-Present) • Consumer/Retail Chair (2023-2025) • Tech Economics Chair (2020-2023)
Zillow
2021 — 2022> Senior Economist, Risk
Built the stress-testing infrastructure to quantify housing risk under various macroeconomic scenarios. Integrated complex downside models directly into FP&A workflows.
MetroSight
2021> Consulting Economist
Delivered independent economic assessments and consulting for high-level strategic projects.
Universal Standard Housing (now iHousing)
2020> Chief Technology Officer
Led the business unit responsible for algorithmically finding and assessing real estate development opportunities at scale.
Clutter
2019 — 2020> Chief Economist
Developed an in-house Bayesian A/B testing platform to optimize marketing and operations. Modeled customer behavior and retention to maximize Return on Ad Spend (ROAS).
Clutter
2019> Senior Data Scientist
Built spatial models to match supply with demand across geographies. Developed causal models to project growth and optimize financial strategy.
psyML
2018 — 2019> Research Data Scientist
Led data strategy and engineering. Researched and implemented predictive models for social network analysis and deployed production data pipelines.
MD Insider
2017 — 2018> Data Scientist
Architected massive data pipelines processing billions of physician records. Deployed Med2Vec models to semantically match patients to providers based on clinical expertise.
University of Southern California
2021 — 2023> Adjunct Professor
Bridged the gap between theory and practice by teaching graduate-level Big Data Econometrics.
[ View Academic Record ↗ ]Foundation Layer
Ph.D. Economics
University of Southern California
Focus:
Econometrics & Networks
M.Sc. Quant Economics
University of Southern California
Focus:
Mathematical Statistics
B.Sc. Economics
University of Gothenburg
Thesis:
Spatial Trade Models, Theoretical Economics
B.Sc. Mathematics
Linköping University
Thesis:
Theorem of the Alternative, Linear Algebra