Katharina holds graduate degrees in Biotechnology and in Chemical Engineering, having graduated from the Ecole Superieure de Biotechnologie de Strasbourg and from the Department of Chemical Engineering at MIT. Her doctoral work in advancing mathematical methods for the sensitivity analysis of oscillating systems, with particular application to biological systems such as the circadian clock, led to a more detailed functional understanding of the design of molecular networks. Other areas of interest included new approaches to parameter fitting, especially relevant to feature-rich but data-poor biological systems.

Prior to joining Applied Biomath, Katharina worked as a Visiting Research Fellow at New England Biolabs, Inc., and as a Computational Software Engineer on the algorithms team at Rhythmia Medical (now Boston Scientific). At New England Biolabs, she participated in the process design for the production of a protease from bench scale experiments to market release. At Rhythmia, she solved electrophysiology cardiac mapping problems, using techniques from finite-element methods, computational physics and inverse problems. Her design of a simulation environment was helpful in directing R&D efforts towards the most promising avenue, and for the efficient planning of human and animal studies.


    Key Research

    • QSP Model of modRNA to Treat Crigler-Najjar Syndrome Type 1

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