Jochen Voss is a mathematician and Lecturer in Statistics at the University of Leeds with 26 years' experience at the interface of probability, numerical analysis and stochastic simulation. He specializes in numerical simulation of stochastic differential equations and infinite-dimensional sampling problems, with a research track that includes collaborations on computational SPDEs with leading figures like Martin Hairer and Andrew Stuart. A seasoned academic, he combines research, teaching and administrative duties while maintaining hands-on coding experience—evidenced by contributions to the go-gorp ORM where he improved time handling and cross-database compatibility. His background includes a PhD from RPTU Kaiserslautern-Landau and visiting work on Monte Carlo methods at SAMSI, reflecting a sustained focus on practical computational techniques for challenging probabilistic problems. Colleagues value him for turning deep theoretical insight into robust numerical and software tools.
26 years of coding experience
1 year of employment as a software developer
PhD, Mathematics, PhD, Mathematics at RPTU Kaiserslautern-Landau
Go Relational Persistence - an ORM-ish library for Go
Role in this project:
Back-end Developer
Contributions:5 commits in 29 days
Contributions summary:Jochen primarily focused on enhancing the `gorp` library's functionality by adding support for `time.Time` objects, improving its database interaction capabilities. They addressed compatibility issues with various database drivers, including SQLite, MySQL, and PostgreSQL, demonstrating adaptability. Additionally, the user corrected documentation and refined the library's codebase by implementing changes to facilitate godoc.org formatting, thus improving code maintainability and usability.
Contributions:11 commits, 1 PR, 11 pushes in 4 years 4 months
golangncursesncurses-library
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