Mahdi Kooshkbaghi

Mahdi Kooshkbaghi

Staff Machine Learning Engineer

The Estée Lauder Companies

I am a machine learning engineer with more than a decade of experience in production AI and scientific computing. Today, I build and deploy GenAI-powered products at scale. Previously, I developed machine learning and Bayesian inference software for life-sciences research at Cold Spring Harbor Laboratory, and conducted applied-mathematics research at Princeton University on scientific machine learning, simulation surrogates, and data-driven discovery of governing equations. My doctoral research focused on CFD algorithms for reactive flows and nonlinear dynamical systems.

GenAI & LLMs

Building and deploying user-facing AI applications for production at scale.

Bayesian Modeling

Causal inference and GPU-accelerated MCMC workflows with JAX and NumPyro.

Scientific Computing

Previous research in computational biology, applied mathematics, CFD, and nonlinear dynamics.

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