Biography
I am a Senior Lecturer and ARC DECRA Fellow at the School of Mathematics and Statistics, University of Melbourne. I am also an Associate Investigator for OPTIMA.
My research interests are broadly in nonlinear optimization, data science, and numerical analysis, with applications to areas such as imaging and climate science. I have particular interests in derivative-free optimization and bilevel optimization.
Details of my CV, publications, talks and software are available on this website (or look at Google Scholar and Github). For general optimization resources, see my nonlinear optimization resources page, or my introduction to interpolation-based (derivative-free) optimization.
Recent news
- (Dec-25) Delighted to be a CI in the successful ARC Centre of Excellent proposal Mathematics for Quantum Era Security and Trust (MathQuEST), lead by Nalini Joshi (University of Sydney).
- (Dec-25) Our paper Randomized Subspace Derivative-Free Optimization with Quadratic Models and Second-Order Convergence with Coralia Cartis (University of Oxford) has been accepted to Optimization Methods and Software.
- (Dec-25) I will be speaking about linearly constrained direct search methods at the AustMS Annual Meeting at La Trobe University.
- (Nov-25) I will be speaking about linearly constrained direct search methods at WOMBAT 2025 at the University of Queensland.
- (Nov-25) Hosting PhD student Yiwen Chen (University of British Columbia) for a 3 week visit.
- (Nov-25) New paper Bilevel Learning via Inexact Stochastic Gradient Descent with Mohammad Sadegh Salehi, Matthias Ehrhardt (University of Bath) and Subhadip Mukherjee (IIT Kharagpur). We analyze SGD with controllable errors in the stochastic gradient accuracy, applied to bilevel learning in imaging.
- (Oct-25) New paper Introduction to Interpolation-Based Optimization. This survey article provides an overview of derivative-free optimization (DFO) methods based on interpolation-type approximations (also called model-based DFO) aimed at new graduate students and interested researchers.
- (Sep-25) I will be talking about bilevel learning for imaging at the University of Melbourne Applied Mathematics.
- (Jul-25) Our paper Regularized black-box optimization algorithms for least-squares problems with Yanjun Liu (Princeton University) and Kevin Lam (University of Oxford) has been accepted to IMA Journal of Numerical Analysis.
- (Jul-25) I have started a new position as a Senior Lecturer in the School of Mathematics and Statistics at the University of Melbourne.