Full-stack economist who turns science into software for decision-makers.
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
SYS.STATUS: NOMINAL
01 //
SIGNAL INGESTION
Aggregating fragmented, high-entropy signals. Transforming raw, unstructured noise into a reliable, unified data foundation.
02 //
STATE SYNTHESIS
Constructing a holistic system state. Fusing internal operational metrics with external market variables to establish ground truth.
03 //
CAUSAL LOGIC
The inference core. Disentangling the impact of business levers from environmental factors to attribute outcomes to their true root causes.
04 //
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 design models, architect the pipelines that feed them, and build the software that puts them in the hands of decision makers. 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.
Core Focus: I specialize in architecting production-ready infrastructure for causal inference, forecasting, and simulation. Currently building a P&L attribution engine at Chewy that calculates profitability at the SKU, order, and customer level — and training ops leadership to build software with AI.
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. Lead integration of AI into operational workflows, training ops leadership to move from directing work to building software with AI.
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