CV

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Contact Information

Name Fadi Atieh
Professional Title PhD Student
Email fadi.atieh98@gmail.com

Professional Summary

PhD student in Machine Learning at Carnegie Mellon University, advised by Max Simchowitz and Nicholas Boffi. Research interests in generative modeling, reinforcement learning, robotics, and applied mathematics.

Experience

Education

  • 2026 -

    Pittsburgh, PA

    PhD
    Carnegie Mellon University
    Machine Learning
    • Machine Learning Department
  • 2020 - 2022

    Cambridge, MA

    M.Eng.
    Massachusetts Institute of Technology
    Electrical Engineering and Computer Science
    • Thesis: Novel statistical hypothesis testing procedure for the discovery of the Higgs boson using LHC data
    • Advisor: Yury Polyanskiy
  • 2016 - 2020

    Cambridge, MA

    B.S.
    Massachusetts Institute of Technology
    Mathematics and Computer Science
    • Course 18 (Mathematics) and Course 6-3 (Computer Science)

Interests

Generative Modeling: Stochastic Interpolants, Diffusion Models, Flow Matching
Applied Mathematics: Stochastic Processes, Optimal Transport, Optimization

Languages

Arabic : Native speaker
English : Fluent