I build pipelines that make economics executable.
Staff Research Scientist at Chewy. AI Roundtable Chair at NABE.
def optimize_pnl(data):
model = fit_demand(data)
elasticity = model.coef_
return max_profit(
elasticity, costs
)Decision
Engine
// MAPPING NOISY INPUTS
TO OPTIMAL ACTIONS
SIGNAL INGESTION
Aggregating fragmented, high-entropy signals. Transforming raw, unstructured noise into a reliable, unified data foundation.
STATE SYNTHESIS
Constructing a holistic system state. Fusing internal operational metrics with external market variables to establish ground truth.
CAUSAL LOGIC
The inference core. Disentangling the impact of business levers from environmental factors to attribute outcomes to their true root causes.
DECISION LAYER
The execution layer. Mapping proven causal drivers to optimal strategies, automating value generation at scale.
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