Prof. Dr. Björn Eskofier

Machine Learning and Data Analytics (MaD) Lab, Friedrich-Alexander-University Erlangen-Nürnberg

Bjoern M. Eskofier heads the Machine Learning and Data Analytics (MaD) Lab at the Friedrich-Alexander-University Erlangen-Nuernberg (FAU). He is also the current speaker of FAU’s Department Artificial Intelligence in Biomedical Engineering (AIBE) and of the German Ministry of Economic Affairs and Climate Action GAIA-X usecase project “TEAM-X” and the co-speaker of the German Research Foundation collaborative research center “EmpkinS” (SFB 1483).

Dr. Eskofier studied Electrical Engineering at the FAU and graduated in 2006. He then studied under the supervision of Prof. Dr. Benno Nigg at the University of Calgary (Canada). He authored more than 300 peer reviewed articles, submitted 7 patent applications, started three spinoff startup companies, and is in a supporting role for further startups. He won several medical-technical research awards, including the “Curious Minds” award in “Life Sciences” by Manager Magazin and Merck. In 2016, he was a visiting professor in Dr. Paolo Bonato’s Motion Analysis Lab at Harvard Medical School (February-March), and in 2018, he was a visiting professor in Dr. Alex “Sandy” Pentland’s Human Dynamics group at MIT Media Lab (March-August).

Bjoern Eskofier has defined his research and entrepreneurial agenda to revolve around contributions to a “Digital Health Ecosystem”, where patients are connected to other stakeholders within the Healthcare system using digital support tools. His digital health research philosophy is that only multidisciplinary teams of engineers, medical experts, industry representatives and entrepreneurs will have the tools to actually implement changes in Healthcare.

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