PhD EconomistSystems Engineer
I build pipelines that make economics executable.
Staff Research Scientist at Chewy. AI Roundtable Chair at NABE.
optimize.py
def optimize_pnl(data):
model = fit_demand(data)
elasticity = model.coef_
return max_profit(
elasticity, costs
)+12.4%
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.