Katrin Reichel

- Project management and lead of interdisciplinary team - Successful realization of structure- and ligand-based drug discovery - Concept creation and implementation of pipeline for computational compound design (including software development and ML approaches)

- Development of peptide drug candidates using computational modeling and ML/AI - Integration of experimental data with simulation by Bayesian inference

- RNA-Seq transcriptomics analysis - Project management and communication with customers

In-depth analysis of experimental and simulation data, implementation of Bayesian inference and machine learning approaches, identification of conformational organization of membrane proteins

Supervision by Prof. Dr. Gerhard Hummer (MPI of Biophysics) and Prof. Dr. Lars Schäfer (Ruhr-University Bochum). Ph.D. thesis: "Computational Modeling of Membrane Proteins with Sparse Experimental Data". Description: Implementation and usage of Metropolis Monte Carlo simulated annealing algorithms, application of machine learning approaches, collaboration with lab groups from the physical chemistry and biochemistry department, incorporation of a diverse set of experimental data

Cooperation between Fresenius Kabi Deutschland GmbH and Imperial College London, UK. Supervision by Dr A. Aldo Faisal at the Imperial College London, UK. Diploma thesis: "Reinforcement Learning Algorithms for Adaptive Drug Delivery". Description: Implementation of an in silico diabetic patient, simulation of blood glucose level, insulin delivery, beta cells, food uptake, and activity, treatment via Reinforcement Learning, personalized drug delivery, design and evaluation of pre-clinical studies

Diploma thesis: Reinforcement Learning Algorithms for Adaptive Drug Delivery, Cooperation between Fresenius Kabi Deutschland GmbH and Imperial College London, UK

Semester Project: Detection of bioactive molecules by an artificial neural network, Biochemistry

Models and Algorithms in Bioinformatics, Machine Learning, Drug Design, Chemoinformatics, Cellbiology, Structure of Biomolecules, Biochemistry, Genetics, Neurobiology