Education

  1. MSc in Applied Computational Science and Engineering

    Imperial College London

    Class representative | Dissertation awarded 90.0% Distinction (78.27%)

    Modules:

    • Machine/Deep Learning | Numerical Methods & Modelling | Inversion and Optimization
  2. BSc in Mechanical Engineering

    Koc University

    Ranked 1st in class | Graduated one year early | Merit scholarship ($30k annually) GPA: 3.99/4.00

    Tutor/Assistant for:

    • Introduction to Engineering | Fluid Mechanics | Numerical Methods

    Modules:

    • Propulsion Systems | Microsensors | Makerspace | Finite Element Method
  3. Highschool

    American Robert College
    Ranked 1st in Highschool Entrance Exam AP Chemistry(5/5), AP Calculus(5/5) Volleyball team, Ultimate Frisbee team
Awards
Neural Networks and Deep Learning
Coursera ∙ November 2023
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.