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Prof. Dr. Gregory Wheeler

Blog
FS Blog

Professor of Philosophy and Computer Science
Head of Computational Science & Philosophy Department

https://campus.frankfurt-school.de/clicnetclm/fileDownload.do?goid=000003205497AB4

Personal Details

Gregory Wheeler is Professor of Philosophy and Computer Science at Frankfurt School of Finance & Management. He earned a joint PhD in philosophy and computer science from the University of Rochester in 2002. Prior to joining the Frankfurt School in 2017, he held faculty positions at The Munich Center for Mathematical Philosophy (MCMP) at LMU Munich, Carnegie Mellon University, the Center for Artificial Intelligence at Nova University in Lisbon, and was a periodic visitor to the TU Dresden AI Institute and the Max Planck Institute for Human Cognition in Berlin. In 2019 he co-founded Exaloan AG, a financial software company based in Frankfurt, where is Head of Machine Learning.

Gregory’s research interests concern probability and statistics, with a focus on imprecise probability theory, applied Bayesian statistics, and machine learning. 

For more information, including a complete list of publications, see Gregory’s webpage or cv.
 

Curriculum Vitae

Prof. Gregory Wheeler on the Future of AI.
Why is it difficult to predict the development and impact of technology? How will society adapt to changes in technology? Will AI replace us? These are some of the questions he answers in an exclusive Frankfurt School interview.

Professor Dr. Gregory Wheeler joins a panel of esteemed professionals to ponder the deeper questions behind AI at the 2013 World Science Festival in New York City.
Since the time of the earliest electronic computers, some have imagined that with sufficiently robust memory, processing speed, and programming, a functioning human brain can be replicated in silicon. Others disagree, arguing that central to the workings of the brain are inherently non-computational processes.

Publications

Scholarly journal articles / Journal articles

Monographs / Contributions to edited volumes

Conference Proceedings

Courses 2024

Title

Programme

Computational Statistics

PhD-Programme

Computational Statistics & Probability

Master in Applied Data Science

Machine Learning 1

Master in Applied Data Science

Office hours

during the semester:

By appointment

Room: A5.08