Tim Sullivan

Short Curriculum Vitae

General Information

Name Tim Sullivan
Affiliation Mathematics Institute, Freie Universität Berlin;
Zuse Institute Berlin
Address Arnimallee 6, 14195 Berlin, Germany;
Takustraße 7, 14195 Berlin, Germany
Phone +49 30 84185 370
Email t.j.sullivan (at) fu-berlin.de;
sullivan (at) zib.de
Position Junior Professor (W1)

Appointments and Positions

Free University of Berlin, Berlin, Germany
Junior Professor in Applied Mathematics, with Specialism in Risk and Uncertainty Quantification
Zuse Institute Berlin (ZIB), Berlin, Germany
Research Group Leader for Uncertainty Quantification
Mathematics Institute, University of Warwick, Coventry, UK
Warwick Zeeman Lecturer (Assistant Professor)
California Institute of Technology, Pasadena, California, USA
Visiting Associate in Computing and Mathematical Sciences
California Institute of Technology, Pasadena, California, USA
Senior Postdoctoral Scholar in Applied & Computational Mathematics and the Graduate Aerospace Laboratories
California Institute of Technology, Pasadena, California, USA
Postdoctoral Scholar in Applied & Computational Mathematics and the Graduate Aerospace Laboratories
Postdoctoral Advisors: Prof. Michael Ortiz, PSAAP Center director, and Prof. Houman Owhadi, PSAAP Uncertainty Quantification group leader

Higher Education and Scientific Degrees

Ph.D. in Mathematics by Research, University of Warwick, UK
Doctoral Thesis: Analysis of Gradient Descents in Random Energies and Heat Baths
Advisor: Dr Florian Theil. Examiners: Prof. Valery Smyshlyaev (University of Bath, UK) and Prof. Andrew Stuart (University of Warwick, UK)
Master of Mathematics (Class I), University of Warwick, UK
Advisors: Dr Luca Sbano, academic tutor, and Prof. Gero Friesecke (Technische Universität München), dissertation advisor

Selected Publications

See also this list of academic publications.

  1. H. C. Lie, T. J. Sullivan & A. L. Teckentrup. “Random forward models and log-likelihoods in Bayesian inverse problems.” SIAM/ASA Journal on Uncertainty Quantification 6(4):1600–1629, 2018. doi:10.1137/18M1166523
  2. J. Cockayne, C. Oates, T. J. Sullivan & M. Girolami. “Probabilistic numerical methods for PDE-constrained Bayesian inverse problems” in Proceedings of the 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, ed. G. Verdoolaege. AIP Conference Proceedings, 1853:060001-1–060001-8, 2017. doi:10.1063/1.4985359
  3. T. J. Sullivan. “Well-posed Bayesian inverse problems and heavy-tailed stable quasi-Banach space priors.” Inverse Problems and Imaging 11(5):857–874, 2017. doi:10.3934/ipi.2017040
  4. T. J. Sullivan. Introduction to Uncertainty Quantification, volume 63 of Texts in Applied Mathematics. Springer, 2015. ISBN 978-3-319-23394-9 (hardcover), 978-3-319-23395-6 (e-book). doi:10.1007/978-3-319-23395-6
  5. H. Owhadi, C. Scovel & T. J. Sullivan. “On the brittleness of Bayesian inference.” SIAM Review 57(4):566–582, 2015. doi:10.1137/130938633
  6. H. Owhadi, C. Scovel & T. J. Sullivan. “Brittleness of Bayesian inference under finite information in a continuous world.” Electronic Journal of Statistics 9(1):1–79, 2015. doi:10.1214/15-EJS989
  7. P.-H. T. Kamga, B. Li, M. McKerns, L. H. Nguyen, M. Ortiz, H. Owhadi & T. J. Sullivan. “Optimal uncertainty quantification with model uncertainty and legacy data.” Journal of the Mechanics and Physics of Solids 72:1–19, 2014. doi:10.1016/j.jmps.2014.07.007
  8. T. J. Sullivan, M. McKerns, D. Meyer, F. Theil, H. Owhadi & M. Ortiz. “Optimal uncertainty quantification for legacy data observations of Lipschitz functions.” ESAIM. Mathematical Modelling and Numerical Analysis 47(6):1657–1689, 2013. doi:10.1051/m2an/2013083
  9. H. Owhadi, C. Scovel, T. J. Sullivan, M. McKerns & M. Ortiz. “Optimal Uncertainty Quantification.” SIAM Review 55(2):271–345, 2013. doi:10.1137/10080782X
  10. T. J. Sullivan, M. Koslowski, F. Theil & M. Ortiz. “Thermalization of rate-independent processes by entropic regularization.” Discrete and Continuous Dynamical Systems. Series S 6(1):215–233, 2013. doi:10.3934/dcdss.2013.6.215

Other Academic Achievements and Activities

See also this list of conferences, talks, and other academic gatherings.

Co-chair with Prof. Dr C. Schillings (Mannheim) of the GAMM Activity Group on Uncertainty Quantification
Co-leader with Dr C. Oates (Newcastle) of SAMSI Working Group II Probabilistic Numerics
Faculty of the Berlin Mathematical School
University of Warwick Mathematics Institute Teaching Prize
Member of Science Faculty Undergraduate Studies Committee, Science Faculty and Mathematics Department First Year Boards of Examiners, and Mathematics Department Graduate Studies Committee at the University of Warwick, Coventry, UK
Organiser or co-organiser of various scientific workshops and minisymposia, including Oberwolfach Workshop 1911 Uncertainty Quantification 2019, Probabilistic Numerical Methods for Quantification of Discretisation Error at SIAM UQ 2018, Section S15 Uncertainty Quantification at GAMM Jahrestagung 2018, Over-Confidence in Numerical Predictions: Challenges and Solutions at SIAM UQ 2016, Emerging Trends in Uncertainty Quantification at SIAM CSE 2013, and the Third Annual Caltech Solid Mechanics Symposium 2012