Learning from BloodTyper.
A minor contribution to a collaborative blood-group genotyping research effort—and an important learning experience.
Collaborative research experience
Minor contributor; work with William J. Lane, MD, PhD and the BloodTyper team at Mass General Brigham / Harvard Medical School
The research problem
Blood-group prediction from genomic data requires more than identifying isolated variants. Complex alleles and structural variation must be interpreted in a way that produces clinically meaningful predictions.
My contribution
I played a minor role in this work with William J. Lane and the BloodTyper team. The project belongs to that collaborative effort; my contribution was a small part of it.
I learned from the team’s approach to interpreting complex RH and MNS alleles, structural variation, and the translation of genomic findings into blood-group predictions.
What I took from the experience
The experience helped me learn how computational methods can make complex laboratory reasoning explicit and testable. That interest continues in my own development work on Serologic, which addresses antibody-screen and panel interpretation.
From clinical need to institutional action.
These projects connect clinical expertise, usable systems, and accountable decisions—the same concerns that shape my approach to clinical informatics.