Sherman Lo (PhD Student)

Maintained until 25th April 2021

I am a PhD student in the OxWaSP CDT program. I am working with Thomas Nichols and Julia Brettschneider, part of the Inside-Out group, on X-ray CT scans with applications to 3D printing.

My main interests are in:

Applied statistics
Computational statistics
Machine learning (Statistical Machine Learning Reading Group)

Biography

Sherman studied at University College London and 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.

Mini-Projects

Multicore Adaptive Markov Chains using Monte Carlo (with Krzysztof Łatuszyński and Louis Aslett)
Visualisation of Markov Chains using Monte Carlo in Java

Talks

Characterisation of CT Noise with Applications to 3D Printing in the Young Researchers' Meeting (2016, 2018), Research Students' Conference (2018), Gregynog Statistical Conference (2019)
Multicore Adaptive Markov Chains using Monte Carlo in the Young Researchers' Meeting (2016)
Rcpp: Integrating R and C++ in the RUserGroup (2017)
Applied MCMC in Fusion Energy in the London Mathematical Society Invited Lecture Series and Centre for Research in Statistical Methodology Summer School in Computational Statistics (2018), CCFE Physics and Technology Meeting (2018), Young Researchers' Meeting (2018)
Open Source Licenses in the Young Researchers' Meeting (2019)

Posters

Characterisation of CT Noise with Applications to 3D Printing
- Best poster in the National Physical Laboratory 2nd Dimensional X-ray Computed Tomography Conference (2017)
- Best poster in the Research Students' Conference (2018)
- RSS International Conference (2018, 2019)
- Gregynog Statistical Conference (2019)

Teaching

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

Archery

I am shooting for University of Warwick Archery Club and in the performance squad.

PhD Thesis

Lo, S.E. (2020). Characterisation of Computed Tomography Noise in Projection Space with Applications to Additive Manufacturing. PhD thesis, University of Warwick, Department of Statistics