Pharmacomatrics Expert

Applied mathematician with strong expertise in mathematical biology, systems biology and advanced statistical modeling

Extensive experience in computational modeling and programming (R, Matlab, Python)

Expertise in analyzing complex biological systems, quantifying uncertainty, and interpreting nonlinear dynamics

A collaborative working style combined with strong communication skills and a clear motivation to bridge mathematics and medicine

Applied mathematician with a Ph.D. in Mathematical Medicine and Biology, specializing in the modelling and simulation of biological processes

With extensive experience in Python, MATLAB, and R, they have developed robust computational models incorporating experimental data in both academic and biotech environments

Developed and optimized approaches for parameterization of reaction networks and parameter uncertainty estimation

Successfully participated in 5+ internal and external projects as a team member as well as the sole hands-on Systems Biology analyst

Developed and refactored internal data processing pipeline that is utilized nearly in every internal and external project

Used R, MATLAB, HPC for data analysis and modelling and Git for reproducible research

Collaborated with life science experts in order to integrate and optimize the models with in-house generated experimental data to identify novel therapeutic targets

Wrote MATLAB scripts to investigate the spatio-temporal calcium dynamics of the ventricular cardio myocytes under hypertrophic and healthy states

Developed mathematical models incorporating the stochastic behaviour of opening receptors that allow for the parametric tuning of the system to reveal the impact of IP3Rs on spark activation

Used cloud computations for long-running scripts

Created MATLAB scripts for preprocessing eye tracking data