Peter Straka
Research Scientist, Core Data Science
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolPeter Straka is a research scientist and statistician with 11 years of experience translating advanced probabilistic methods into impactful applications across healthcare, finance and physics. Currently at Meta's Core Data Science team, he combines rigorous PhD-level mathematics with practical software delivery—authoring R packages and a Shiny app that garner hundreds of downloads per month. He has a strong track record securing competitive research funding (including a DECRA award), leading teams, and mentoring students while delivering data science solutions on large-scale medical records and pharmacoepidemiology studies. Peter’s academic work produced novel algorithms for stochastic particle systems and anomalous diffusion, underpinning production-ready tools used in public health and critical care analytics. He is an articulate communicator who bridges deep theory and cross-disciplinary teams to turn complex statistical ideas into operational insights. Based in Sydney, he pairs research rigour with hands-on engineering and data-architecture experience.
11 years of coding experience
2 years of employment as a software developer
Master’s Degree, Master’s Degree at University of Southern CaliforniaMaster’s Degree, Mathematics, Master’s Degree, Mathematics at Ulm UniversityUNSW Sydney
English, German, Slovak, Chinese, Czech
Github Skills (36)
unconf10
r-package10
journal10
jupyter9
netlify9
r9
page-builder9
hugo-theme9
distributions9
rstudio9
maxima9
paper9
knitr9
rmarkdown9
roamresearch8
Programming languages (4)
Github contributions (5)
strakaps/CTRE
Jan 2018 - Sep 2021
Contributions:3 releases, 138 commits, 11 pushes in 3 years 8 months
strakaps/bursty-POT
Apr 2018 - Aug 2020
Source code for the paper "Inference for Continuous Time Random Maxima with Heavy-Tailed Waiting Times"
Contributions:2 releases, 6 PRs, 48 pushes in 2 years 4 months
waitingtimescontinuousinferencemachine-learning
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