Alex Foss
Principal Statistician
Albuquerque, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolAlex Foss is a Principal Statistician with 11 years of experience turning complex scientific and business questions into actionable, reproducible analyses at Sandia National Laboratories. He blends deep statistical and machine learning expertise—spanning experimental design, regression, clustering, and visualization—with advanced skills in high-performance computing, parallelization (MPI, Hadoop), and Rcpp-optimized workflows to scale analyses to cluster-sized datasets. His background includes developing a novel mixed-type clustering method implemented in R/Rcpp and Hadoop, and prior roles at Google and academic neuroimaging labs where he handled thousands of time series and led large Monte Carlo studies. Known for rapidly acquiring domain knowledge, he communicates technical results clearly to stakeholders and bridges the gap between research-grade methods and production-ready, high-performance implementations.
11 years of coding experience
10 years of employment as a software developer
Lowell High SchoolPsychology, Piano Performance, Psychology, Piano Performance at Indiana University BloomingtonMA, PhD, Biostatistics, MA, PhD, Biostatistics at State University of New York at BuffaloMathematics and Computer Science, Mathematics and Computer Science at Sewanee-The University of the South
Github Skills (5)
r-package9
square-root9
r8
clustering8
functional-data-analysis7
Programming languages (1)
Github contributions (5)
ahfoss/rock-paper-scissors
Sep 2015 - Apr 2023
Contributions:4 pushes, 1 branch in 7 years 7 months
ahfoss/kamila
Oct 2015 - Aug 2022
An R package for clustering mixed-type data
Contributions:1 release, 128 commits, 1 PR in 6 years 10 months
clusteringrr-package
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