Curriculum Vitae:
Born 1984 in Freiburg im Breisgau, Germany. Studies in mathematics at Universität Freiburg (2003-2004) and Universität Göttingen (2004-2007). PhD studies at Universität Göttingen and Universität Bern 2007- 2011 (supervisors: Axel Munk and Lutz Dümbgen). Postdoc at Vrije Universiteit Amsterdam and ENSAE, Paris. Assistant professor at Leiden University (2014-2018). Since 2018, full professor at University of Twente.
Education: Abitur 2004; Diploma in mathematics with minor theoretical physics, Universität Göttingen, 2007. Dissertation, Universität Göttingen and Universität Bern 2011 (double degree program, summa cum laude).
Research Experience:
Visiting Scholar at University of California, Davis (September 2006-March 2007); Research stays at Wharton Business school, Philadelphia (February 2008), RICAM, Linz (October-November 2008), ENSAE, Paris (August and December 2009, June 2012-May 2013, January 2019), Vrije Universiteit Amsterdam (June 2011-May 2012), Universität Heidelberg (December 2010), Humboldt University (August 2014, August 2016, January- March 2018), Paris Dauphine (February 2014), SAMSI (June 2015), Göttingen (October-December 2015), Bochum (June-July 2016), Fudan university (June, August 2017), Isaac Newton institute (January-June 2018), Simons Institute Berkeley (July 2019). Guest of Collaborative Research Center 649 at Humboldt University Berlin (2010 - 2011).
Associate editor:
Awards and grants:
- full scholarship awarded by Studienstiftung des Deutschen Volkes (German Academic Scholarship Foundation), 2005-2007.
- Research fellowship awarded for two years of postdoctoral studies, SCHM 2807/1-1, German national science foundation (DFG), 2011-2013.
- NWO/cluster tenure track position awarded within a national competition, Dutch science foundation (NWO), 2014-2019.
- TOP-subsidie, NWO, 2017-2021.
- One PhD position co-financed by STAR (2018-2022).
- Vidi, NWO, 2019-2024
- Member of Young Academy @UT, 2019-
Conference organization:
- Lorentz center workshop: Bayesian and nonlinear inverse problems, August 28-September 1, 2017
- Statistics meets friends: From Biophysics to Inverse Problems and back, November 29-December 1, 2017
- Statistics conference in honor of Aad van der Vaart's 60th birthday. June 17-21, 2019
- IMS invited session, JSM, Denver, 2019
- 4TU AMI annual event on Mathematical Deep Learning, Delft, November 5, 2019.
- Statistical estimation and deep learning in UQ for PDEs, The Erwin Schroedinger International Institute for Mathematics and Physics, Vienna, rescheduled for 2022
- Invited session on deep learning, World Congress in Probability and Statistics, Seoul, rescheduled for 2021
- Oberwolfach workshop 'Mathematical Foundations of Machine Learning' (with Peter Bartlett and Cristina Butucea), March 2021
Other activities:
- AIP Vienna 2009.
- Oberwolfach Workshop: Challenges in Statistical Theory, 2009.
- FOR 916 workshop Bern, 2009.
- Humboldt-Universität Berlin, 2009.
- Rencontres de statistiques mathematiques, Luminy, 2009.
- IISA-ISPS Joint Statistical Meeting, Visakhapatnam, 2010.
- University of Hamburg, 2010.
- Universität Heidelberg, 2010.
- FOR 916 workshop Mannheim, 2011.
- University of Marburg, 2012.
- Oberwolfach Workshop: Frontiers in Nonparametric Statistics, 2012.
- Life Science Seminar, Amsterdam, 2012.
- Bayes Club, Amsterdam, 2012.
- Research Seminar, Berlin, 2012.
- Workshop on Recent Developments in Statistical Multiscale Methods, Göttingen, 2012.
- Séminaire statistique de l'ENSAE-CREST, 2012.
- Séminaire Parisien de Statistique, 2012.
- TU Delft, 2012.
- Yale, 2013.
- Séminaire statistique de l'ENSAE-CREST, 2013.
- Bayes Club, Amsterdam, 2013.
- Göttingen, 2013.
- Workshop on complex data structures, Switzerland, 2014.
- Oberwolfach Workshop: Adaptive inference, 2014.
- NSVCM, Paderborn, 2014.
- Math colloquium, Leiden, 2014.
- Cambridge, October 2014.
- Math colloquium, Utrecht, 2015.
- Oberwolfach Workshop: Probabilistic Techniques in Modern Statistics, 2015.
- Statistics for Complex Systems, University of Wisconsin-Madison, 2015.
- Conference on Bayesian Nonparametrics, Raleigh, USA, 2015.
- Conference on Probability Theory and Statistics, Tbilisi, Georgia, 2015.
- Lorentz Center Workshop, Shape constrained inference, 2015.
- LCDS, 2015.
- Colloquium Göttingen, 2015.
- ICMS, Edingburgh, 2016.
- IPMS, Fethiye, Turkey, 2016.
- ISNPS, Avignon, France, 2016.
- University of Bochum, Lecture series on nonparametric Bayes, 2016.
- TU Dortmund, 2016.
- WIAS, Berlin, Germany, 2016.
- HU Berlin, Minicourse on statistical theory for multilayer neural networks, 2016.
- CMStatistics, Seville, Spain, 2016.
- Meeting in Mathematical Statistics 2016, Frejus, France, 2016.
- ICSA, Shanghai, China,2016.
- International Workshop on Engineering Statistics, East China Normal University, Shanghai, China, 2016.
- Fudan University, Shanghai, China, 2016: Adaptive posterior contraction.
- Center for Statistical Science at Peking University, Beijing, China, 2016
- University of Hamburg, Germany, 2017
- Bayes Club, 2017 (with Markus Reiss)
- Oberwolfach, 2017
- University of Göttingen, 2017
- AIP 2017, Hangzhou, China, 2017.
- SFB 755 Career Workshop, Göttingen, 2017.
- HU Berlin, 2018.
- University of Magdeburg, February 2018.
- Workshop on Inverse Problems and Machine Learning, Caltech, 2018
- Workshop on Functional Inference and Machine Intelligence, Tokyo, 2018
- Workshop, Lübbenau, 2018.
- Oberwolfach workshop, 2018.
- Cambridge, 2018. [video]
- MIT, 2018. [video]
- This week's discoveries seminar, Leiden, 2018.
- Structures Seminar, 2018.
- Mannheim, 2018.
- U Twente, 2018
- EcoSta, Hongkong, 2018
- TU Berlin, 2018
- Deep Learning : from theory to applications, Rennes, 2018
- Statistical Challenges in High-dimensional and Complex Data, Columbia University, 2018
- TRIAD, Georgia Tech, 2018 [video]
- Rutgers University, 2018
- Cambridge, 2018
- University of Darmstadt, 2018
- ENSAE Paris, Lecture series on theory for deep networks, 2019
- Geometric Analysis Approach to AI, Harvard, 2019
- Paris Nanterre, 2019
- Mathematical foundations of statistical uncertainty quantification, Freiburg, 2019
- Lecture series on theory for deep networks Georgia Tech, 2019, videos: [1][2] [3] [4] [5]
- YES X : Understanding Deep Learning, Eurandom, March 2019[videos]
- Nijmegen, 2019
- JSM, Denver, Colorado, 2019
- SAMSI, Duke University, 2019
- Inaugural speech, U Twente, 2019 [text] [video]
- Florence Nightingale Colloquium, Leiden, 2019
- General maths colloquium, University of Amsterdam, 2019
- EURANDOM - TU/e, Eindhoven, 2019
- London School of Economics, 2019
- University of Muenster, 2020
- VU Amsterdam, 2020
- Annual conference of Beijing
Academy of Artificial Intelligence, June 2020
- LMS-Bath Symposium on The Mathematics of Machine Learning, August 2020
Upcoming Talks: