Kjell Konis

Senior Quantitative Analyst

Seattle, Washington, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Kjell Konis is a Senior Quantitative Analyst in Seattle with 17 years of applied quantitative and statistical experience spanning academia and institutional investing. Trained at Oxford (DPhil in Computational Statistics) and the University of Washington, he blends deep probabilistic modeling and R/S+ programming with hands-on implementation for portfolio management at the University of Washington Investment Management Company. His background includes postdoctoral research in mathematical statistics and practical tool-building—such as an R package for the Hugin Decision Engine—bridging Bayesian methods and real-world decision systems. He has taught and developed graduate courses in computational finance, showing an ability to translate advanced methods into curriculum and production analytics. Known for combining rigorous research with production-ready code, he frequently operates at the intersection of statistical theory, software tooling, and financial risk management.
code18 years of coding experience
job9 years of employment as a software developer
bookBS, Mathematics, Statistics, Economics, BS, Mathematics, Statistics, Economics at University of Washington
bookDPhil, Computational Statistics, DPhil, Computational Statistics at University of Oxford
languagesEnglish, French
stackoverflow-logo

Stackoverflow

Stats
1reputation
0reached
0answers
0questions
github-logo-circle

Github Skills (23)

robustness9
hugin9
bayesian-network8
r7
statistics7
ports7
macos6
command-line6
middleware6
database5
r-programming5
macports4
r-package4
cop4
cran4

Programming languages (4)

RC++CTcl

Github contributions (5)

github-logo-circle
huginexpert/RHugin

Jul 2008 - Feb 2017

RHugin is a middleware making it possible to Create Bayesian Networks from the R Programming Language. RHugin is a middleware exposing the HUGIN API to any program written in R. RHugin was originally created by Kjell Konis (kjellpk) but is currently maintained by Hugin Expert.
Contributions:413 commits in 8 years 8 months
bayesian-networkhuginmiddlewarer-programming
kjellpk/fit.models

Jul 2015 - Jul 2020

Contributions:1 release, 26 pushes, 1 branch in 5 years
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial