CV

PhD in Operations Research (in progress)

Massachusetts Institute of Technology

GPA: 5.0/5.0

Research interests: AI agents for automated research, Machine learning and optimisation, Data-driven decision-making.

Turkish language coursework

Harvard University

Intermediate Turkish.

Graduate Studies in Mathematics

University of Cambridge, Trinity College

Trinity Studentship in Mathematics. Research: Applying Contrastive Learning to Stellar Spectra.

BSc (Honours), Physics, Mathematics & Statistics

University of Toronto

GPA: 4.00/4.00 · Average: 97.6%. Rose Sheinin Award for the top female student in science.

Data Science Intern

The Trade Desk: AI Lab

Built a GPID validation and scoring pipeline using PySpark and AWS S3, processing over 5.3 million bidstream records. Designed signal validation and data quality workflows for advertising marketplace research.

Astrophysics Machine Learning Researcher

University of Toronto

Trained convolutional neural networks in PyTorch to estimate stellar parameters from spectra, achieving R² > 0.95. Developed self-supervised contrastive learning models to align modalities in a shared latent space.

Biophysics Machine Learning Researcher

University of Toronto

Built stochastic models in TensorFlow for receptor signalling. Applied information theory and statistical inference to study feedback, molecular noise and signalling specificity.

Dark Matter Particle Physics Researcher

SuperCDMS SNOLAB & University of Toronto

Developed likelihood-based models in C++, RooFit and RooStats. Ran over 1,000 Monte Carlo simulations to estimate detector sensitivity and signal upper limits at the 95% confidence level.