Mahdi Kooshkbaghi

Mahdi Kooshkbaghi

Staff Machine Learning Engineer

The Estée Lauder Companies

As a seasoned machine learning engineer and computational scientist with 10+ years of experience spanning production user-facing AI applications and scientific computing, I currently specialize in building and deploying GenAI-powered products at scale. I have extensive prior research experience in scientific computing, CFD simulation, nonlinear dynamics, and data-driven discovery of governing equations, with a strong track record of developing ML simulation surrogates for complex physical systems. My technical expertise spans deep learning, Bayesian modeling, and scalable MLOps.

You can find my current CV here.

Interests
  • Applied Mathematics
  • Machine Learning
  • Computational Biology
  • Combustion
  • Fluid Mechanics
Education
  • Computational Postdoc in Simons Center for Quantitative Biology, 2020

    Cold Spring Harbor Laboratory

  • Postdoc in App. and Comput. Math, 2017

    Princeton University

  • PhD in Mechanical Engineering, 2015

    ETH Zürich

  • MSc in Mechanical Engineering, 2011

    Tehran Polytechnic

  • BSc in Aerospace Engineering, 2010

    Tehran Polytechnic

  • BSc in Mechanical Engineering, 2008

    Tehran Polytechnic

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