Juho Timonen
Computational Scientist
Espoo, Finland
Summary
👤
Senior🎓
Top SchoolJuho Timonen is a computational scientist with nine years of experience blending applied mathematics and computer science to build probabilistic models for biological data. He holds a Doctor of Science (Tech.) with research roots at Aalto University focused on nonparametric modeling, single-cell RNA-seq dynamics, molecular network inference, variational inference and probabilistic programming. Now at Generable, he translates advanced Bayesian and deep generative methods into practical tools for longitudinal and high-dimensional biological problems. Juho’s background teaching university-level mathematics and hands-on work in model selection algorithms give him a rare mix of rigorous theory, pedagogical clarity, and production-minded implementation. He is based in Espoo, Finland, and brings both academic depth and real-world impact in computational biology and probabilistic modeling.
10 years of coding experience
2 years of employment as a software developer
Master of Science (Tech. ), Applied Mathematics, Master of Science (Tech. ), Applied Mathematics at Aalto UniversityUpper Secondary School of Iisalmi
English, Finnish, Swedish
Github Skills (33)
r-package10
gaussian-processes10
bayesian10
longitudinal-data10
stan10
bayesian-inference10
ordinary-differential-equations9
bayesian-statistics9
bayesian-data-analysis9
ode-model9
rstanarm9
variable-selection9
sundials9
eigen9
automatic-differentiation9
Programming languages (11)
Github contributions (5)
jtimonen/odemodeling
Dec 2021 - May 2022
R-package for building and fitting Bayesian ODE models in Stan
Contributions:3 releases, 162 commits, 70 pushes in 5 months
bayesianode-modelr-packageordinary-differential-equationsr-packages
jtimonen/lgpr
Sep 2018 - Mar 2019
Contributions:234 pushes, 1 branch in 6 months
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