Peter Carbonetto is a computational biologist and research scientist with 19 years of experience developing quantitative and computational methods to link genetic variation to human health. Based in Chicago, he has blended academic and industry work—spanning a Ph.D. in computer science, HFSP- and postdoctoral-funded research, a staff scientist role at Ancestry, and staff computational scientist work at UChicago’s Research Computing Center—advising and collaborating on large-scale, data-intensive projects. He focuses on statistical genetics and method development for genome-wide studies, bringing machine learning and computational-statistics rigor to biological questions. An active contributor to open-source research tooling, he has improved documentation and reliability in the popular workflowr project, underscoring his attention to reproducible research and usable software.
19 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The University of British Columbia
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at McGill University
Contributions:45 commits, 1 PR, 44 pushes in 10 months
Contributions summary:Peter primarily contributed to documentation and made minor code adjustments within the workflowr project. Their work involved adding comments to roxygen2 documentation for `wflow_start` and `wflow_build` functions, along with correcting spacing issues in header files. They also addressed testing issues by incorporating `Sys.sleep()` calls to address potential timing-related problems. Further documentation was produced to enhance the usability and clarity of the overall project.
Contributions:27 commits, 1 push in 3 years 9 months
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Peter Carbonetto - Research Scientist at University of Chicago