Machine Learning Researcher
Mitacs, Queen's Unviersity
Aug 2024 - Nov 2024 (4 months)
Implemented stochastic simulation models via Montecarlo sampling to explore potential energy surfaces (PES) and generated large‑scale synthetic datasets.
Built, evaluated, and optimized predictive models in Python using Scikit‑Learn, Pandas, Matplotlib, and Scikit‑Optimize to assess the performance and accuracy of advanced statistical sampling techniques applied to those synthetic datasets.
Developed Bash scripts to automate data preprocessing, batch simulation execution, and efficient file management in high‑performance Linux environments. Employed GitHub for version control and collaborative code management, ensuring traceability and reproducibility in scientific research settings.
