Experience

Hello! I’m Jason Dai, a bioinformatics scientist at Thermo Fisher Scientific working to reduce organ transplant rejection by designing better diagnostics. I work with small, non-technical teams to build out their bioinformatics software and analyses toolkits.

Experience

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• Kept up-to-date with current trends and research in HLA, bioinformatics, AI, and computer science.
• Applied cutting-edge machine learning and AI methods to develop software in the HLA field.
• Supported other departments with bioinformatics analyses and software requests.
• Developed software that automated existing processes, improving company efficiency.
• Shared research with the HLA scientific community through publications, conference presentations, and online talks.

 

• Analyzed mutational signatures in relation to cancer evolution and risk.

 

• Developed a robust interdisciplinary foundation spanning core sciences (chemistry, organic chemistry, physics), advanced mathematics (linear algebra, statistics, advanced calculus), and the life sciences (genetics, molecular biology, biotechnology).
• Honed critical computational and analytical skills through specialized coursework in bioinformatics algorithms, programming, algorithm design, and databases.
• Gained practical engineering perspectives via studies in biotech.
• Developed several bioinformatics software pipelines at the Alexandrov Lab.