
Researching Quantum Computing at University of Waterloo, IQC, EPFL and CERN QTI. Queen's Engineering Physics graduate. Programming Enthusiast
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AXA Research
Data Scientist
June 28, 2026 – Present
Noisy-Surface-Code
June 11, 2025 – September 10, 2025
This repository contains code and calculations developed by Cherilyn Christen and Nathaniel Pacey as part of ongoing research with the Quantum Science and Engineering (QSE) group at EPFL, under the supervision of Professor Nicolas Macris.
View ProjectQuantum-Optimization-for-Energy-Efficient-Route-Finding
May 25, 2025 – October 7, 2025
Quantum-Optimization-for-Energy-Efficient-Route-Finding — GitHub repository
View ProjectQuantum-vs-Classical-Algorithms-Traveling-Salesman-Problem
December 31, 2023 – May 19, 2025
Project for the University of Waterloo IQC comparing classical algorithms with the Quantum Approximate Optimization Algorithm (QAOA) for solving the Traveling Salesman Problem (TSP).
View ProjectVirtual-Power-Plant
November 27, 2023 – Present
A Flask web app for clean energy feasibility studies—design, pricing, and evaluation of solar, wind, and battery projects using location-specific data.
View ProjectML-for-American-Style-Stock-Options
October 31, 2023 – April 4, 2024
Machine learning price prediction of American Style stock options. Project for engineering physics thesis at Queen's University.
View Projectquantum-gates
January 18, 2023 – Present
Noisy Quantum Gates model for simulating the noise of quantum devices.
View ProjectMandelbrot_and_Julia_sets
December 22, 2022 – December 25, 2022
Solving the complex recursive algorithms for a Mandelbrot and Julia Set and plotting them.
View ProjectQuantum-Computing-with-Xanadu-PennyLane
December 12, 2022 – December 25, 2022
My solutions to the Quantum Computing Codebooks produced by Xanadu using the python library PennyLane. Including a multivariable example of Grover's algorithm compared to a Linear Search.
View ProjectSignMate-ASL-Computer-Vision
November 29, 2022 – December 24, 2022
An Qt Desktop Application that teaches the ASL alphabet using Computer Vision Machine Learning Model.
View ProjectComputational-Engineering-Physics
August 14, 2021 – October 31, 2021
All the code I have written regarding computing and Engineering Physics applcations. Further, using numerical methods to solve physics, mathematics and engineering problems utilizing Python. Topics include numerical differentiation and integration, root finding and optimization problems, linear systems of equations, finite-element modelling, Fourier and other transforms, and Monte Carlo simulations.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in cutting-edge research areas like quantum computing and machine learning. However, the experience section lists a current role as 'Data Scientist' at 'AXA Research' starting in 2026, which appears to be a future date or placeholder, making it difficult to assess current professional alignment. The projects are primarily personal and academic, indicating a research-oriented mindset. The target role is 'Data Scientist', which aligns with some project work (ML for stock options, ASL Computer Vision), but a significant portion is highly specialized in quantum computing, which may or may not align with typical data scientist roles depending on the specific company needs. The candidate's experience level is 0, which suggests a very junior profile, potentially not aligning with senior-level expectations for a Data Scientist role without further professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests to provide insights into work attitude, stress handling, team collaboration, or communication clarity.