Rachel Ostic is a data scientist working at the Canada Revenue Agency on privacy-preserving analytical methodology research.
In 2021, she completed a master’s in the Ultrafast THz Spectroscopy laboratory at the University of Ottawa, Canada. There, she worked on supercontinuum generation, including simulations and experimental measurements of spectral and polarization properties, and contributed to the development of ultrafast terahertz detection instruments for high-speed data acquisition. Her other interests include programming and machine learning, which led her to contribute to a reinforcement learning project to solve a single-player game.
Rachel is passionate about sharing her knowledge as a tutor, teaching assistant, and through science outreach events. She is also principal viola and volunteers as Grant Proposal Manager for the Ottawa Pops Orchestra. In her spare time, she reads and tries to stay active by jogging, hiking and cycling in Gatineau Park.
MSc Physics, 2019 – 2021
University of Ottawa
Honours BSc in Physics-Mathematics, 2016 – 2019
University of Ottawa
Projects include:
A signal-processing algorithm called compressive sensing lets researchers characterize a sample with ultrafast spectroscopy using far fewer measurements than before.
We investigate experimentally the effect of input polarization and pulse energy on the generated supercontinuum. Our detection system reveals the polarization properties of the supercontinuum, a typically unexplored parameter of these sources.
Use Q-learning to solve a single-player game optimally in Python.
Study of polarization properties during supercontinuum generation using germania-doped photonic crystal fiber.