Richard Park is a versatile computational biologist and data scientist with 14 years of experience building analytics, visualization, and production ML pipelines across healthcare, genomics, and large-scale commercial datasets. He has led data platforms and product efforts—ranging from genomic visualization at Knome and cancer analytics at Brown to payroll- and transaction-driven location-insight products used by enterprises and government audiences. Technically fluent in Java, C++, Python, OpenGL and databases (Postgres/MySQL), he bridges low-level engineering, cloud deployment, and research-grade bioinformatics to deliver actionable insights from massive datasets. Notably, he has translated complex domain problems—microbial ID for GI cancers, radiology ML reporting, and officer risk scoring—into deployed products and continuous pipelines. Based in Boston, he combines academic rigor (BS in Computational Biology, PhD work in Bioinformatics) with entrepreneurial experience as a co-founder who has presented analytics to C-level and public-sector stakeholders.
14 years of coding experience
13 years of employment as a software developer
BS, Computational Biology, BS, Computational Biology at Brown University
PHD, Bioinformatics, PHD, Bioinformatics at Boston University
The Refinery Platform is a data management, analysis and visualization system for bioinformatics and computational biology applications. The platforms consists of three major components: a data repository with rich metadata capabilities, a workflow engine based on the popular Galaxy system, and visualization tools to support the exploration and interpretation of results at all stages of the analysis process.
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