Charles Jia

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Portfolio and Projects

Below, you will find a selection of published research work and side projects that I have completed to showcase my research, epidemiologic and statistical technique.

About

My Research Portfolio

Through my research, I have contributed to studies that deepen our understanding of cancer care, patient outcomes, and healthcare delivery. My work has been shared through peer-reviewed publications and conference presentations, helping translate complex health data into evidence that can inform clinical practice and policy. I am motivated by the opportunity to generate research that extends beyond academia and contributes to better health outcomes at the population level.

My research has notably taken me to the European Society for Medical Oncology Congress 2025 and the Canadian Association of Medical Oncologists 2025 Annual Scientific Meeting. There, I was able to disseminate the results from my graduate research to pharmaceutical stakeholders, clinicians, academics and government decision-makers.

Below are a curated group of deliverables to showcase the amazing work I had done in pursuit of my Master’s in Epidemiology and Biostatistics. Click any image to see to the associated deliverable. From left to right: (1) Thesis dissertation; (2) Abstract published in the Annals of Oncology; (3) Poster presentation submitted to the ESMO Congress 2025

Side Projects

This section remains a work in progress. However, be prepared to see high-quality work using simulated population-level datasets implementing machine learning techniques and other higher-level concepts.

Project One

Coming soon.

Using simulated population-level data in Ontario, Canada to investigate progression-free survival and safety outcomes in patients with HR+/HER2- advanced breast cancer receiving imlunestrant

Project coming soon.

Project Two

Coming soon.

Comparing the efficacy of different supervised machine learning techniques in the selection of genetic variables related to multiple sclerosis

Project coming soon.

Project Three

Coming soon.

Multimodal risk prediction using electronic health records and polygenic risk scores

Project coming soon.