Lars Kaiser

Designed, implemented, and documented a Python package for inverse model parameter inference

Conceptualized and implemented a web application for agile and evidence-based change management utilizing the Django REST framework (Python) and React (JavaScript)

Restructured, expanded, and documented a Finite Volume code for simulating coupled Darcy-Stokes flow problems in C++; Implemented new coupling conditions in the open-source multi-physics library DuMuX

Prepared and conducted a weekly programming tutorial for 20 students; Corrected and graded programming assignments

Six months of study and trans-cultural experience in Bergen, Norway; Focus on Deep Learning and the Norwegian Language

Master Thesis: A Mixed-Dimensional Model for Evapotranspiration from Leaves; Grade: 1.0; Focus on Computational Science for PDEs

Bachelor Thesis: Time-dependent polynomial chaos for hyperbolic conservation laws; Grade: 1.3; Focus on Computational Science and Physics}