Summary
Juho 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.
9 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 University
Upper Secondary School of Iisalmi
English, Finnish, Swedish