Leonhard Wachutka

Leonhard Wachutka is a Postdoctoral Researcher in the Chair of Computational Molecular Medicine at the Technical University of Munich (TUM) since 2020, having previously completed his PhD in the same chair from 2016 to 2020.

Education:

• Dr. rer. nat. in Computational Molecular Medicine, Technical University of Munich, 2020
• M.Sc in Physics, LMU Munich, 2013-2015
• B.Sc in Physics, LMU Munich, 2009-2012

His research integrates computational biology, genomics, and molecular medicine with a focus on RNA metabolism, splicing kinetics, and cancer genomics. He develops machine learning and statistical methods for analyzing high-throughput sequencing data, particularly RNA-seq, to investigate gene regulation mechanisms, mitochondrial function, and disease pathways. His interdisciplinary approach bridges physics, molecular biology, and computer science to address complex biomedical questions.

Publication trends reveal consistent innovation in computational genomics tools, including methods for cancer driver gene detection, RNA-seq aberration analysis, splicing kinetics modeling, and mitochondrial respiration quantification. His work spans cancer genomics, RNA biology, and systems biology, with strong emphasis on translational applications for understanding disease mechanisms.

Scientific Awards:
No awards, fellowships, or medals are mentioned in the provided text.

Advising and Grants:
No information is available regarding student advising or independent research grants. As a postdoctoral researcher, he contributes to projects led by principal investigator Prof. Julien Gagneur within the research group.

Labs and Teams:
Wachutka is embedded in Prof. Julien Gagneur's research group within the Chair of Computational Molecular Medicine at TUM. The team actively teaches courses including "Machine Learning for Regulatory Genomics" and "Computational Modelling for System Genetics," while conducting cutting-edge research at the intersection of machine learning, regulatory genomics, and molecular medicine.