Clint Chin Pang Ho

About Me

I am a Junior Research Fellow in the Imperial College Business School. Before that I received a BS in Applied Mathematics (Summa Cum Laude) from the University of California, Los Angeles (UCLA) in 2011, an MSc in Mathematical Modeling and Scientific Computing from the University of Oxford in 2012, and a PhD in computational optimization at Imperial College London in 2016.

I am interested in computational optimization. My current work focus on

C. P. Ho and G. A. Hanasusanto,
On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach.

C. P. Ho and P. Parpas,
Empirical Risk Minimization: Probabilistic Complexity and Stepsize Strategy,
Computational Optimization and Applications, 2019

C. P. Ho, M. Petrik, and W. Wiesemann,
Fast Bellman Updates for Robust MDPs,
Proceedings of the 35th International Conference on Machine Learning (ICML), 2018

C. P. Ho and P. Parpas,
Multilevel Optimization Methods: Convergence and Problem Structure.

Y. Li, C. P. Ho, N. Chahal, R. Senior, and M.-X. Tang,
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model,
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016

L. Chen, T. Tong, C. P. Ho, R. Patel, D. Cohen, A. C. Dawson, O. Halse, O. Geraghty, P. E.M. Rinne, C. J. White, T. Nakornchai, P. Bentley, and D. Rueckert,
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning,
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015

C. P. Ho and P. Parpas,
On Using Spectral Graph Theory to Infer the Structure of Multiscale Markov Processes,
2015 Proceedings of the Conference on Control and its Applications, 2015

C. P. Ho and P. Parpas,
Singularly Perturbed Markov Decision Processes: A Multiresolution Algorithm,
SIAM Journal on Control and Optimization, 2014

X. Chen, C. P. Ho, R. Osman, P. Harrison, and W. Knottenbelt,
Understanding, Modelling and Improving the Performance of Web Applications in Multi-core Virtualised Environments,
Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE), 2014

Hong Kong Baptist University (Invited talk), Hong Kong, March 2019
City University of Hong Kong (Invited talk), Hong Kong, January 2019
INFORMS Annual Meeting (Invited talk), Phoenix, Arizona, USA, November 2018
International Symposium on Mathematical Programming (Invited talk), Bordeaux, France, July 2018
Conference on Computational Management Science (Invited talk), Trondheim, Norway, May 2018
Trinity College Dublin (Invited talk), Dublin, Ireland, May 2018
INFORMS Annual Meeting (Invited talk), Huston, Texas, USA, October 2017
Conference on Computational Management Science (Invited talk), Bergamo, Italy, June 2017
QUADS Student Seminar, Imperial College London, London, UK, May 2017
Hamlyn Centre Seminar (Invited talk), Imperial College London, London, UK, April 2016
SIAM Conference on Control and Its Applications, Paris, France, July 2015
INFORMS Annual Meeting (Invited talk), San Francisco, California, USA, July 2014
SIAM Conference on Control and Its Applications, San Diego, California, USA, July 2013

Instructor at Imperial College Business School for:

Intro to Linear Algebra and Basic Optimization using Python (MSc Business Analytics), Autumn 2015

Course Moderator at London School of Economics and Political Science for:

Management Science Methods (University of London International Programmes), Spring 2017

Teaching assistant at Imperial College Business School for:

Teaching assistant at London Business School for:

Teaching assistant at Department of Computing, Imperial College for:

PhD students at Imperial College Business School (co-supervised with Dr Wolfram Wiesemann):

Undegraduate research students at Imperial College (co-supervised with Dr. Panos Parpas):

MSc students at Imperial College (co-supervised with Dr. Panos Parpas):