Scouting report
Research scientist — R/Bayesian modeling for marine biology
assessed from open-source footprint
Kayla is an Assistant Professor (PhD, Scripps Oceanography) whose code is specialized research: an R + JAGS Bayesian isotope-mixing model for Giant Sea Bass, plus teaching materials. With 88% of work in Data/ML and the cohort's high originality (87), she's a credible scientific-computing and statistical-modeling specialist rather than a software engineer. Niche by design — ideal for data-science or research-adjacent roles, not general product work.
Authorship & open source
What they build
Signal breakdown
1
top repo 1
18
14% forks
5
9.6 yr
1
Active
50% stale
Strengths
- Verified author — wrote 100% of commits on IsotopeMixingModel_GSB
- Original builder — 18 of their own repositories
- Data / ML focus with Frontend
- Core stack: R, JavaScript, Jupyter
About
Skills
- R
- JavaScript
- Jupyter
Featured work
IsotopeMixingModel GSB
Code for running the Giant Sea Bass mixing model in JAGS
- R
by Kayla
CSC2300
Materials for CSC2300
- Jupyter
by Kayla
MES504 GitHubDemo
This repository is being used to demo git/GitHub for MES 504 Spring 2026.
- R
by Kayla
GitHubDemo2
demonstrating github in MES504
- Code
by Kayla
MesophoticLionfish
Code for generating the analyses performed for Nemeth lab mesophotic lionfish manuscript
- R
by Kayla
GlobalSeafoodTrade
Global seafood trade analysis (Sussman Internship)
- R
by Kayla