Ege
Cogulu

I'm a Senior Data Scientist with a background in experimental physics, specializing in causal inference, experimentation, and statistical modeling at scale.

At Meta, I led causal measurement for third-party ads attribution products. I used propensity-score matching, synthetic controls, difference-in-differences, and randomized experiments to measure product impact and improve cross-publisher attribution. I also helped integrate view-through ads signals into third-party multi-touch attribution models, expanding measurement beyond click-based attribution.

Before Meta, I spent three years at Happy Returns (acquired by PayPal, then UPS during my tenure). I started building predictive models for shipping supply forecasting across thousands of locations and led multi-round A/B tests on customer-facing features. Over time my work shifted toward experimentation and optimization, building time-series forecasting pipelines for shipping logistics across 10,000 centers.

My PhD research at NYU's Center for Quantum Phenomena focused on current-induced spin dynamics in antiferromagnetic materials, supervised by Andy Kent. I worked with hundreds of gigabytes of electron microscopy image data and developed analytical and numerical models to extract signal from high-dimensional voltage data as a function of temperature, current, and magnetic field.

Outside of work, I write about topics I find interesting in the blog, mostly statistics, probability, and the occasional physics simulation.