B.Sc. (Hons) in Physics & Astrophysics from University of Glasgow, with Honours of the First Class
Graduate Researcher at Carnegie Mellon University
As a member of the Dark Energy Science Collaboration for the Large Synoptic Survey Telescope, I:
leed efforts to design an optimal 10-year telescope strategy to minimize uncertainties related to weak gravitational lensing and measuring cosmological parameters.
contributed to numerically-validated python library named the Core Cosmology Library
Teaching Assistant at Carnegie Mellon University
Won best teaching assistant award, for leading recitations for intro and intermediate physics courses, designingcomputational physics labs, and integrating active-learning and tech-assisted teaching in physics courses.
Undergraduate Researcher at University of Glasgow
As part of 2017 Nobel Prize-winning project, LIGO, used bayesian statistics to set upper limits on gravitational-wave signal from the sun, using 1.5 years of time-series data.
Undergraduate Researcher at Durham University
Developed highly-parallelized python and C code to mitigate the bias on cosmological parameters induced due to inevitable constraints on placement of fibers in the largest spectroscopic instrument in the world, DESI
Grand Prize Winner from Pittsburgh Innovation Case Competition
LSSTC Data Science Fellowship from Large Synoptic Survey Telescope Corporation
Teaching Assistant Award from Carnegie Mellon University
6 talks at international conferences and colloquia in the US, UK, S. Korea and Germany
4 posters at conferences and workshops
Level: ~4 years of experience
- Retail investing: including short selling and options trading - Music: I play piano and drums and write and record electronic music. Recently, I created music using deep learning and Long Short-Term Memory neural networks.