My main interests are in:
- Applied statistics
- Computational statistics
- Machine leaning (Statistical Machine Learning Reading Group)
- Image analysis
(Above) Greyvalues of an x-ray scan of a 3D printed cuboid. In red are significant pixels at the 5σ level.
Sherman is from Maidenhead and studied at University College London. He completed his MSci Physics degree in 2014. During his physics degree, he became interested in statistics and as a result his physics project was on the computational and statistical analysis of 3D imaging of a human chromosome at the London Center for Nanotechnology. Following on, he then completed a MSc Computational Statistics and Machine Learning degree in 2015, and was awarded the Dean's List for outstanding academic performance. His project was on the multivariate regression view of multi-label classification. In his spare time, Sherman enjoys shooting arrows at the local archery range and competes in tournaments.
- 2017-18 ST218: Mathematical Statistics Part A
- 2017-18 ST219: Mathematical Statistics Part B
- 2016-17 ST218: Mathematical Statistics Part A
- 2016-17 ST219: Mathematical Statistics Part B
- Ip, S. supervised by Brettschneider, J. and Nichols, T. (2016). Characterisation of CT Noise in Projection and Image Space with Applications to 3D Printing. OxWaSP Mini-Project, University of Warwick. Available Online.
- Ip, S. supervised by Latuszynski, K. and Aslett, L. (2016). Multicore Adaptive MCMC. OxWaSP Mini-Project, University of Warwick. Available on request.
- Ip, S. supervised by Xue, J. (2015). A Multivariate Regression View of Multi-Label Classification. MSc Computational Statistics and Machine Learning, University College London. Available Online.
- Ip, S. supervised by Robinson, I. (2014). Computing and Statistical Data Analysis in 3D Imaging and Analysis of a Human Chromosome. MSci Physics, University College London. Available Online.