Eric Leung
Clinical Trial Manager at Bristol Myers Squibb
New York, New York, United States
Summary
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RockstarEric Leung is a Clinical Trial Manager with 11 years of experience, currently overseeing studies at Bristol Myers Squibb after managing trials at Syneos Health. Based in New York, he blends operational study leadership with a data-minded approach informed by active open-source contributions to projects like freeCodeCamp and pandas, where he’s improved front-end UX and technical documentation. He advocates for open data and community learning, bringing clarity and reproducibility to both trial processes and data workflows. Known for meticulous attention to detail—from protocol execution to code docs—he translates complex technical material into accessible guidance for cross-functional teams.
11 years of coding experience
2 years of employment as a software developer
Stackoverflow
2,464reputation
125kreached
68answers
1question
gitlab
top-5%
Github Skills (24)
javascript10
pandas10
react10
documentation10
data-analysis10
restructuredtext9
j9
gitlab9
python8
d3js8
sass7
html7
vim6
deep-learning6
github6
Programming languages (15)
Github contributions (5)
freeCodeCamp/freeCodeCamp
Sep 2015 - Apr 2022
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:10 reviews, 416 commits, 287 PRs in 6 years 8 months
Contributions summary:Eric primarily contributed to the front-end aspects of the freeCodeCamp project. Their work includes modifying Jade templates for the about page, updating React/Sass and D3 project release information, fixing the casing of "Youtube" to "YouTube", and clarifying concepts around truthy and falsy values. Additionally, the user updated the MDN links for specific JavaScript methods and addressed whitespace issues in server-side files.
mathcurriculumreactlearn-to-code-for-freecss
pandas-dev/pandas
Oct 2020 - Dec 2020
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:Technical Writer
Technical WriterContributions:1 review, 10 commits, 12 PRs in 2 months
Contributions summary:Eric's commits primarily focus on improving and updating the documentation for the pandas library. Their work includes correcting capitalization, fixing word order, adding examples and summaries, and removing redundant information. This documentation-focused effort contributes to the clarity and usability of the pandas library for its users.
pythondatalabeled-datamanipulationdataframes
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