Maike Rees retrieved her B.Sc. in Media, Communication and Computer Science from the university of applied sciences in Karlsruhe and subsequently a M.Sc. in Computer Science focused on cognitive systems and software engineering from the Karlsruhe Institute of Technology (KIT). She fell in love with research during her bachelor’s thesis at the VW Research Lab in Silicon Valley, California, where she focused on autonomous driving. During her master’s studies, she continued exploring this field at Porsche before turning to medical computer science, completing her Master’s thesis on Deep Learning for inverse problems in electrocardiography. During her PhD at the DKFZ she is working at the exciting intersection of computer science, medicine and physics. She leads the AIDA (clinical) trial investigating postoperative complication prediction using spectral imaging. Maike co-organizes the DLiMIA Seminar and advocates for more women in STEM through initiatives like Girls’ Day, ZORA and similar programs.
In her free time, Maike volunteers at the German live saving organization (DLRG), teaching kids how to swim, adults how to lifeguard, and coaches how to teach swimming and rescuing. She (obviously) loves to swim, is an avid reader, a passionate salsa dancer and tries to take good care of her house (and office) plants.
Expertise
- Machine and Deep Learning
- Spectral Imaging
- Software Development
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