Management Office

Marco is science manager at MDSI. In this function, he is involved in all sorts of science-related activities. In particular, he coordinates MDSI’s funding schemes with the corresponding calls for proposals.

Marco received his PhD from LMU, Munich, and was doctoral researcher at MPE, Garching. Subsequently, he held postdoc positions at the MPIA, Heidelberg, and the University of Innsbruck, Austria. His research was centred on morphologies and evolution of galaxies. He co-authored more than 130 publications.

In Innsbruck, Marco also coordinated the university’s Research Area Scientific Computing. Before moving to MDSI, Marco was project manager at TUM’s IGSSE.

Emmelie is a program manager at MDSI. In this role, she coordinates the development and implementation of various projects at MDSI and has, among other things, supported the implementation of the Konrad Zuse School of Excellence in reliable AI in its initial phase. Her main focus at MDSI is on education and teaching.

After studying in Shanghai and Heidelberg, Emmelie received her PhD in Sinology from Freie Universität Berlin. She worked as a research assistant at the Free University of Berlin and as a study coordinator at the Georg-August University of Göttingen before coming to MDSI.

At the MDSI Ricardo is responsible for the TUM Data Innovation lab (TUM-DI-LAB) and for MDSI's cooperation with industry. Feel free to contact him regarding any of these formats.

Andrea is coordinator of the Konrad Zuse School of Excellence in Reliable Artificial Intelligence (relAI) at MDSI. She is developing and organizing events and training courses to further develop the curriculum.

Andrea studied Chemistry at TU Darmstadt and received her PhD in Pharmaceutical Chemistry from Philipps Universität Marburg for work in the field of bioinformatics (Drug Design). Subsequently, she worked in development and sales in industry (LION bioscience, Heidelberg) and as a PostDoc and lecturer in academia (EMBl, Heidelberg; TU München: Computer Science, Hochschule Weihenstephan Triesdorf: Bioengineering). Her research passion is to make protein structures easy to access and use for generating biological knowledge.

Mónica is Science Manager at the Zuse School of Excellence in Reliable Artificial Intelligence and the Munich Data Science Institute of the Technical University Munich (TUM).
 
She has a primary degree in Chemistry (Quantum Chemistry and Biochemistry specializations) followed by a PhD in the same discipline. Her main research fields of expertise are Bioinformatics and Systems Biology. Within these areas, she held several scientific and management positions. She worked as postdoctoral scientist in Bioinformatics at EMBL, focussing on evolutionarily and chemical biology research questions and led an independent junior research group at Helmholtz Zentrum Munich on the systems "Biology of small molecules" topic.
 
In the last years, she expanded her management experience on the roles of project manager of a European Commission project on Big Data in Chemistry as well as a coordinator of grant applications at the Nuclear Medicine department of the Klinikum rechts der Isar of the TUM.

At the MDSI, Arielle is the TUM Center Manager for the Munich Center for Machine Learning (MCML).
 
Arielle studied gender studies, sociology, and North American cultural studies at Vanderbilt University (USA) and LMU Munich. She holds a PhD in North American Cultural History from LMU Munich. Arielle worked for fifteen years at LMU Munich in academic management: initially at the Lasky Center for Transatlantic Studies ,and then for many years at the Rachel Carson Center for Environment and Society.