Research interests:

My research centers around the bridge between mathematical modeling, data science and medicine.

I currently work on postoperative delirium, developing a model-based and a data-driven approach to better understand and detect this condition.

Publications:

• “Election data can inform simulations of innovation perception” by Ingo Wolf, Vera Röhr and Tobias Schröder. Conference Paper Social Simulation Conference 2017, Dublin

Teching experience:

• Currently responsible for “Algorithms and Data Structures” lectures and accompanying exercises at TU Berlin
• 2014-2016 student assistant at Fraunhofer IPK for “Global Production Engineering” lectures and exercises

Neuroscience is a field full of interesting and complex issues, many of which are not yet fully understood. By combining modeling with machine learning techniques we have a chance to solve another piece of those puzzles.