Liesa Weigert

Born: 26.02.1992

Nationality: Franconian

Email: liesa.weigert@tum.de

Education

04/2019 – present

Max Planck Institute for Psychiatry, Munich

PhD Student

Topic: Application of Convolutional Neural Networks on Omics Data to Decipher Gene Regulation

Ziller AG

10/2015 – 09/2018

Technische Universität München, Munich

M.Sc.Biomedical Computing

Thesis: Deep Neural Networks for Pelvic Organ Segmentation in Multi-Parametric MRI

Key Coursework: Medical Imaging, Data Structures and Algorithms, Image Processing, Machine Learning, Augmented Reality

10/2011 – 09/2015

Technische Universität München, Munich

B.Sc.Engineering Science

Thesis: Design and Evaluation of a Vascular Simulator, Grade: 1.3

Key coursework: Mechanical Engineering, Computer Science, Biomedical Engineering

09/2014 – 02/2015

Seoul National University, Seoul

Courses: Advanced Programming, Fundamentals of Medical Imaging, Data Structures

Employment and Internships

05/2017 – present

Ludwig Maximilian University

Chair of Clinical Neuropsychology

Implementation of experiments in parkinson research using matlab and psychtoolbox

10/2015 – 02/2016

Technical University Munich

Teaching Assistant for Engineering Informatics

12/2013 – 07/2014

Siemens AG

IT Controlling Infrastructure and Cities

Support in daily tasks and the implementation of a internationally used software

09/2012 – 03/2013

Chair of Computational Modelling and Simulation, TU München

Research Internship

Conduct and evaluation of an experiment to validate implemented navigation algorithms to simulate pedestrians

Skills

Languages

German – Mother Language

English – C2

French – B1

Programming Languages

Python, Matlab, C, Ruby

Other

OpenCV, OpenGL

Tensorflow, Keras, Pytorch, Caffe

Projects