Delvin So ☕️
Delvin So

Data Enthusiast

About Me

Hi! 👋 I’m Delvin, a recent graduate of a second degree in Computer Science (BCS) at UBC.

Previously, I worked as a Bioinformatician and Data Scientist at the Centre for Computational Medicine at The Hospital for Sick Children, where I conducted data analyses for clinical and research teams—contributing to multiple published studies and backend software development.

With several years of handling data under my belt - whether it’s pipelines or analysis, I’m passionate about turning raw information into meaningful insights that support decision making.

Interests
  • Data Engineering
  • NLP
  • Software Engineering
  • Data Analysis
Education

  • Bachelor of Computer Science (BCS)

    University of British Columbia

  • Masters in Science (Bioinformatics)

    University of Guelph

🚀 My Projects

Below are a few projects I’ve been working on..

RiftStats
ResuMatch
Jobs ETL
STAGeR

Experience

  1. Scientific Data Assistant

    IISD-ELA (International Institute for Sustainable Development - Experimental Lakes Area)

    Responsibilities include:

    • Building and maintaining ETL pipelines in Python
    • Explore, clean, and validate historical data in our PostgreSQL database

  2. Clinical Research Assistant

    The Department of Surgery - The University of British Columbia

  3. Bioinformatician/Data Scientist

    The Centre of Computational Medicine - The Hospital of Sick Children

Education

  1. Bachelor of Computer Science (BCS)

    University of British Columbia

    Select Courses:

    • CPSC447 - Introduction to Visualization
    • DSCI430 - Fairness, Accountability, Transparency and Ethics in Data Science
    • CPSC310 - Introduction to Software Engineering
    • CPSC320 - Intermediate Algorithm Design And Analysis
    • CPSC317 - Computer Networking
    • CPSC330 - Applied Machine Learning

  2. Masters in Science (Bioinformatics)

    University of Guelph

    Select Courses:

    • BINF6110 - Genomic Methods for Bioinformatics
    • BINF6970 - Statistical Bioinformatics
Recent Publications
Matthew Osmond, E. Magda Price, Orion J. Buske, Mackenzie Frew, Madeline Couse, Taila Hartley, Conor Klamann, Hannah G. B. H. Le, Jenny Xu, Delvin So, Anjali Jain, Kevin Lu, Kevin Mo, Hannah Wyllie, Erika Wall, Hannah G. Driver, Warren Cheung, Ana S. A. Cohen, Emily G. Farrow, Isabelle Thiffault, Care4Rare Canada Consortium, Andrei Turinsky, Tomi Pastinen, Michael Brudno, Kym M. Boycott (2024). One-Sided Matching Portal (OSMP): a tool to facilitate rare disease patient matchmaking. medRxiv.
PDF Cite Code DOI Preprint
Sabrina Piedimonte, Lauren Erdman, Delvin So, Marcus Q. Bernardini, Sarah E. Ferguson, Stephane Laframboise, Genevieve Bouchard Fortier, Paulina Cybulska, Taymaa May, Liat Hogen (2023). Using a machine learning algorithm to predict outcome of primary cytoreductive surgery in advanced ovarian cancer. Journal of Surgical Oncology.
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Tommy Ivanics, Delvin So, Marco P. A. W. Claasen, David Wallace, Madhukar S. Patel, Annabel Gravely, Woo Jin Choi, Chaya Shwaartz, Kate Walker, Lauren Erdman, Gonzalo Sapisochin (2023). Machine learning-based mortality prediction models using national liver transplantation registries are feasible but have limited utility across countries. American Journal of Transplantation.
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Matthias W. Wagner, Delvin So, Ting Guo, Lauren Erdman, Min Sheng, S. Ufkes, Ruth E. Grunau, Anne Synnes, Helen M. Branson, Vann Chau, Manohar M. Shroff, Birgit B. Ertl-Wagner, Steven P. Miller (2022). MRI based radiomics enhances prediction of neurodevelopmental outcome in very preterm neonates. Scientific Reports.
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Delvin So, Alexandra Smith, Ellen Sparry, Lewis Lukens (2022). Genetics, not environment, contributed to winter wheat yield gains in Ontario, Canada. Theoretical and Applied Genetics.
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Recent Posts

TBD