JProf. Dr. Philipp Harms

Bio

I am an Associate Professor in Mathematics at NTU Singapore since January 2022. Before, I was a Junior Professor at the University of Freiburg, a PostDoc at ETH Zürich and Harvard University, and a PhD student at the University of Vienna.

Geometric data science. More specifically:

Theory: differential geometry and stochastic analysis in infinite dimensions
Applications: mathematics of deep learning, shape analysis, and mathematical finance

Address: 21 Nanyang Link #05-41, Singapore 637371
Affiliation: Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University Singapore
External website: www.philippharms.com
NTU profile: dr.ntu.edu.sg/cris/rp/rp01683
Email: philipp.harms@ntu.edu.sg

February 23-27, 2020: Workshop on Manifold and Shape Stochastics (Sandbjerg Estate, Denmark)
December 18, 2018: DNA-based facial reconstruction - a multidisciplinary discussion (Freiburg University)
December 17-21, 2018: Workshop on Statistics for Geometric Data and Applications to Anthropology (FRIAS, Freiburg University)
July 16-22, 2018: Workshop on Shape Analysis: Math in the Black Forest (Freiburg University)
June 18-22, 2018: Workshop on Statistics for Geometric Data and Applications to Anthropology (Penn State University)
May 16-18, 2018: Workshop on Robust Finance (FRIAS, Freiburg University)
June 19-23, 2017: Workshop on Robust Finance (ICERM, Brown University)

Winter 2020/21: Geometric Data Science (University of Freiburg, lecture and exercises).
Summer 2020: Mathematics of Deep Learning (University of Freiburg, lecture and exercises), as part of the Instructional Development Award with Frank Hutter and Thorsten Schmidt.
Winter 2019/20: Stochastic integration in infinite dimensions and applications to mathematical finance (University of Freiburg, seminar or reading course)
Winter 2018/19: Shape Analysis (University of Freiburg, seminar or reading course)
Summer 2018: Stochastic integration and financial mathematics (University of Freiburg, lecture and exercises, student's award for the best lecture at the department in the summer term 2018)
Winter 2017/8: Stochastics on manifolds (University of Freiburg, seminar)
Winter 2017/18: Stochastic processes (University of Freiburg, exercises)
Summer 2017: Stochastics for computer scientists (University of Freiburg, lecture and exercises)
Winter 2016/17: Stochastic partial differential equations (University of Freiburg, lecture and exercises)
Summer 2016: Stochastic filtering (University of Freiburg, lecture and exercises)
Winter 2015/16: Stochastic filtering (ETH Zurich, lecture and exercises)