Staff
Ana Galhoz
PhD candidate
E-mail
Building/Room: 58b
CV
| since 2019 | Helmholtz Centre Munich, Institute of Computational Biology Ludwig Maximilian University of Munich PhD candidate on Computational biomarker identification for patient stratification and complex disease aetiologies |
| 2018 - 2019 | Toyota Motor Europe NV/SA Development of MATLAB surrogate modelling toolbox to support drivetrain simulations |
| 2017 | Eindhoven University of Technology External Master Thesis: Simulation of liquid emptying from horizontal and inclined tubes with Smoothed Particle Hydrodynamics |
| 2015 - 2017 | Technical University of Lisbon M.Sc. in Applied Mathematics and Applications |
| 2011 - 2015 | Technical University of Lisbon |
Throughout my academic studies in applied mathematics, I immersed on the development and implementation of computational and data mining methodologies in physical and biological applications. In my PhD, my research focuses on the development or leverage of robust machine learning and statistical frameworks to systematically explore and discover new biomarkers in several disease segments, with the intent of improving current precision medicine. In particular, I have designed a systems biology disease-specific gene prioritisation network tool, worked on complex modelling frameworks in high-throughput drug screens to identify infrequent sensitive cell lines with resistance biomarkers and for drug response prediction, and created a multi-omics differential expression analysis integration pipeline to gain insights on Parkinson's disease.
