About
I am currently a Software Engineer in the Scientific Computing Software team at HHMI's Janelia Research Campus, where I work on image reconstruction and analysis of large-scale microscopy datasets.
While my undergraduate studies in mathematics provided me with the abstract problem solving skills necessary in modern science, I soon craved actual problems to solve. This led me to pursue another undergraduate degree in physics and to focus my further mathematical studies in a particular field of applied mathematics: analysis and numerical simulation of partial differential equations.
During my PhD in this field with Prof. Dirk Praetorius at TU Wien, I concentrated on the simulation aspect and became ardently passionate about writing maintainable and efficient numerical software; an interest that already kindled in previous research internships at the Austrian Institute of Technology and the Jülich Supercomputing Centre. As Scientific Software Engineer, I get to tackle a wide variety of problems arising from experimental data to test and further refine my programming skills.
Research Interests
I am interested in a very broad range of topics in mathematics, computer science, and natural sciences. These include, but are not limited to:
Highlighted Projects
- Currently, I am working on reconstruction and post-processing of terabyte to petabyte scale electron microscopy image data in Java; check out the code on GitHub.
- I wrote MOOAFEM, an object oriented Matlab code for adaptive Finite Element Analysis that (under some circumstances) solves problems faster than the Matlab backslash operator; it can be accessed on GitLab.
- During my PhD, I designed algorithms for goal-oriented adaptive FEM and proved that they are optimal, i.e., they have the best possible asymptotic complexity; for details, see my thesis.
For a full list of all my projects, check out my GitHub page or my publications on Google Scholar.