PUBLICATIONS

  • 2017

    How deep are Deep Gaussian Processes?

    M. M. Dunlop, M. Girolami, A. M. Stuart and A. L. Teckentrup
    Submitted

  • Iterative updating of model error for Bayesian inversion

    D. Calvetti, M. M. Dunlop, E. Somersalo and A. M. Stuart
    Submitted

  • Bayesian formulations of multidimensional barcode inversion

    M. M. Dunlop, C. M. Elliott, V. Ha Hoang and A. M. Stuart
    Submitted

  • Hierarchical Bayesian level set inversion

    M. M. Dunlop, M. A. Iglesias and A. M. Stuart
    Statistics and Computing 27 6

  • 2016

    The Bayesian formulation of EIT: analysis and algorithms

    M. M. Dunlop and A. M. Stuart
    Inverse Problems and Imaging 10 4

  • MAP estimators for piecewise continuous inversion

    M. M. Dunlop and A. M. Stuart
    Inverse Problems 32 10

  • Analysis and Computation for Bayesian Inverse Problems

    M. M. Dunlop
    PhD Thesis

RESUME

EDUCATION

    • 2013-2016  
    • PhD Mathematics and Statistics
      University of Warwick

    • 2012-2013  
    • MSc Mathematics and Statistics
      University of Warwick

    • 2008-2012  
    • MMath Mathematics                  
      University of Warwick

EMPLOYMENT

    • 2016-          
    • Postdoctoral Scholar
      California Institute of Technology







TEACHING

    • Teaching Assistant

    • Introduction to Linear Analysis with Applications
      Graduate Course, Term 1 2016/2017

    • Matrix Analysis and Algorithms
      Third-year course, Term 1 2015/2016

    • Probability A & B
      First-year course, Term 2 2014/2015

    • Analysis III
      Second-year course, Term 1 2014/2015

    • Undergraduate Supervisor

SKILLS

    • Coding  
    • MATLAB, Mathematica, C++, PHP, HTML,
      CSS, SQL, LaTeX

TEACHING

CMS/ACM 107 Introduction to Linear Analysis with Applications

Lecturer Andrew Stuart
Teaching Assistant Matt Dunlop

Assignments should be handed into the dropbox outside of Annenberg 337 before 12:00 noon on the due date.

Recitation Monday 9:00-10:00, Annenberg 107.
Office hours Wednesday 9:00-10:00 or by appointment, Annenberg 107.

Midterm Out Friday November 17th, 9am. Due Tuesday November 21st, 5pm.
Final Out Friday December 1st, 9am. Due Tuesday December 5th, 5pm.