Thomas Mock
Senior Product Manager at Posit PBC
San Antonio, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolThomas Mock is a Senior Product Manager at Posit with nine years of experience shaping authoring tools for data science, including Quarto, RStudio IDE, and Posit Workbench. He blends a PhD-trained scientific background in biomedical and exercise science with hands-on product work, translating researcher workflows into polished, professional tools for R and Python communities. Thomas led Quarto integrations, produced educational webinar series and conference workshops, and drove customer enablement to scale documentation and demos for enterprise users. An active contributor to the popular rfordatascience/tidytuesday project, he brings practical data-wrangling chops alongside product strategy. Based in San Antonio, he focuses on creating beloved publishing and authoring experiences that bridge open-source communities and enterprise needs.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biomedical Science, Doctor of Philosophy (Ph.D.) Biomedical Science at UNT Health Fort WorthBachelor's degree Kinesiology, Bachelor's degree Kinesiology at Southwestern UniversityMaster's Degree Exercise Science and Health Promotion, Master's Degree Exercise Science and Health Promotion at Florida Atlantic University
Github Skills (7)
data-wrangling10
data-transformation10
data-cleaning10
tidyverse10
r10
stringr9
readr9
Programming languages (14)
Github contributions (5)
rfordatascience/tidytuesday
Mar 2018 - Jan 2023
Official repo for the #tidytuesday project
Role in this project:
Data Scientist
Data ScientistContributions:79 releases, 4 reviews, 1007 commits in 4 years 11 months
Contributions summary:Thomas primarily worked on data cleaning, transformation, and preparation tasks within the repository, specifically focusing on the `invasive_species.R` file. They read data from various CSV files, cleaned the column names, selected specific columns, and combined the data using functions like `bind_rows` and `left_join`. They also used functions to parse numbers and extract parts of strings and renamed columns. The user's work involved several data wrangling tasks across multiple datasets.
dplyrtidytuesdaytsnetidyverse
jthomasmock/nfl_plotting_cookbook
Aug 2019 - Sep 2020
How to improve your nflscrapR graphics
Contributions:15 commits, 14 pushes, 1 branch in 1 year
graphic
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