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Computational biology
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W.K. Kellogg Biological Station
Data Scientist
June 26, 2026 – Present
M4_FSJ_translocations
December 2, 2024 – January 6, 2025
Resources for demographic and genetic analyses of Mosaic M4 Florida Scrub-Jay translocations.
View ProjectCopenhagen-Popgen-Course
July 21, 2021 – August 23, 2022
Teaching materials for Copenhagen course in high throughput sequencing data for population genetics
View Projectphysalia-lcwgs
October 6, 2020 – October 24, 2025
Files for the the Physalia course on Population genomic inference from low-coverage whole-genome sequencing data, Oct 10-13, 2022
View ProjectPopGenomicsTools
November 27, 2018 – Present
Programs for performing various population genetic analyses
View ProjectintroDist
November 15, 2018 – July 16, 2019
Sliding window genetic distance between individuals and/or individuals and populations useful for detecting introgressed regions.
View ProjectABCutils
March 25, 2016 – March 12, 2019
Scripts to infer population demography by fitting joint frequency spectra using ABC.
View ProjectngsParalog
March 24, 2016 – October 26, 2023
Copy number variation detection using NGS data.
View ProjectngsAssociation
September 25, 2015 – June 1, 2016
Association mapping using pooled or unpooled NGS data.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in bioinformatics and population genomics, suggesting a strong research-oriented background. While this aligns with data science in a scientific context, the lack of diversity in project domains (e.g., business analytics, machine learning applications outside of genomics) might indicate a narrower scope of experience for a general Data Scientist role. The current role as 'Data Scientist' at a biological station aligns with their project history.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong focus on technical execution and research-oriented tasks.