Summary
Neil Patel is a computational biologist with 11 years of experience in genomic data analysis, currently applying his dual expertise in biology and software to cancer research as Computational Biologist III at Dana-Farber Cancer Institute in Boston. He has a track record of enabling researchers with DNA/RNA analysis, building data visualizations with ggplot and matplotlib, and developing robust data pipelines across WGS/WES data. His career spans hands-on bioinformatics roles and systems administration, including maintaining in-house Java and Python applications, migrating code bases from SVN to Git, and deploying RESTful APIs in support of LIMS and cloud-based workflows. Neil blends bench-side biology with software engineering—leading tech talks, training interns, and mentoring teams while also optimizing cloud infrastructure and cost (e.g., Azure cost reductions). He holds a BS in Biochemistry and Molecular Biology from Boston University, an MS in Biotechnology, and a Data Science Certificate from Harvard Extension School, reflecting a steady progression from wet-lab science to data-driven discovery. Based in Boston, he maintains a GitHub profile at github.com/neil92, which showcases his coding and collaboration across bioinformatics projects.
11 years of coding experience
4 years of employment as a software developer
Burlington High School
Dynamics of Management, Dynamics of Management at Bay Path University
Data Science Certificate, Data Science Certificate at Harvard Extension School
Bachelor's Degree, Biochemistry and Molecular Biology, Bachelor's Degree, Biochemistry and Molecular Biology at Boston University
English, Gujarati, Latin, Hindi