Jordan Reynolds
Undergraduate Researcher
Morristown, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolJordan Reynolds is a Purdue data science and applied statistics undergraduate who applies computational and statistical methods to life sciences problems, with hands-on experience in pharmacokinetic modeling for monoclonal antibodies through the Lilly–Purdue Research Collaboration. He has interned at Eli Lilly and worked on data science projects that blend literature synthesis, prior distribution refinement, and mechanistic compartmental modeling to improve drug delivery predictability. Jordan’s research on avian vision used statistical models to probe sensory signal-to-noise tradeoffs, showing a knack for cross-disciplinary problems that connect biology and quantitative analysis. Fluent in Spanish and versed in bioinformatics, he pairs strong domain knowledge with practical software skills and nine years of cumulative experience across research and industry roles. Based in Morristown, NJ, he’s actively seeking opportunities to translate data science into pharmaceutical R&D where statistical rigor and modeling meet experimental biology.
9 years of coding experience
3 years of employment as a software developer
High School Diploma, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, High School Diploma, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES at Morristown High SchoolBachelor of Science - BS, Data Science and Applied Statistics, Junior, Bachelor of Science - BS, Data Science and Applied Statistics, Junior at Purdue University
SpanishProgramming languages (1)
Github contributions (5)
conley31/reservoir-planning-tool
Sep 2017 - Dec 2017
Contributions:109 pushes in 2 months
will1397/TurnIn
Nov 2017 - Mar 2018
Contributions:12 pushes in 3 months
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