ECONOMICS · PUBLIC POLICY · AI
Vahid Ahmadi
Research Associate at PolicyEngine · prev. LSE, PwC
I'm a Research Associate at PolicyEngine, where I build open-source tools that let researchers and policymakers see how tax and benefit reforms reshape household incomes, poverty, and the public finances.
Alongside this, I use AI and LLMs across research and policy work — from simulation modelling to agentic workflows — to make economic research faster, more reproducible, and more accessible.
Experience
Computational policy analysis: economic modeling & microsimulation.
Building economic & policy-analysis tools and integrating agentic AI into NEF's research pipeline.
Empirical-finance and macroeconomic research: econometrics, dynamic stochastic models.
AI consulting in robotic process automation, risk, and governance.
Production credit-scoring ML on 3M+ records, deployed on AWS.
Education
Pre-Doctoral, Economics
MSc, Economics
BSc, Electrical Engineering (Minor in Economics)