Ryan M. Bowser

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Biography

I recently finished my M.S. in Molecular and Cellular Biology at the University of Arizona with Dr. Carol Gregorio as my thesis advisor, studying mechanisms of cardiovascular disease. Before this, I receieved my B.S. also in Molecular and Cellular Biology from the University of Arizona, graduating summa cum laude.


I began my time at Roche as an intern with the Personalized Healthcare Solutions (PHCS) marketing team, where, working with Adrianna Shen and Francisco Ayerbe, I helped make data-driven decisions about the commercialization of the TROP2 AI-driven diagnostic algorithm.

Since my internship, I've continued on with Roche as a Junior Market Researcher & Data Analyst on the Global Market Insights team, supporting the oncology tissue diagnostics division. I led the transition of our annual market report to a fully automated, Snowflake-driven pipeline, and I'm now working to grow beyond the technical side - developing the strategic and business insight needed to help guide business decisions through global market research

Outside of work, I am active in scientific education. I appeared on KXCI 91.3’s “Thesis Thursday” segment, I mentored high school students as a coordinator in the STAR Lab throughout grad school, and I love getting to talk about science to students from kindergarten to high school!



Interests

  • Business Strategy
  • Data Analysis Pipelines
  • Python Scripting & Automation
  • Cardiovascular Disease
  • Science Outreach & Community Engagement

Education

  • MS, Molecular and Cellular Biology, 2025
    • University of Arizona, Tucson, AZ
  • BS, Molecular and Cellular Biology, 2024
    • University of Arizona, Tucson, AZ

Projects

Philament

Philament is an automated Python-based data analysis software for in-vitro motility (IVM) assays. Philament helps reduce IVM analysis times from hours to minutes.

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Bowser, Ryan M et al., 2024

Single Cell Mechanics

This is a Python-based software to analyze single cell mechanics force data, an assay used to measure force production of individual cells!

I do single cell mechanics experiements quite often, so I made a tool to make the data analysis more efficient and precise.

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Personal Website

I originally taught myself Python to improve efficiency in my research, but I soon realized I had a passion for programming! I decided to make this website as a challenge to learn HTML/CSS, and to create a place where I can host my projects.

Please feel free to contact me using the form below!

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