Hugo Maruri-Aguilar

 Hugo Maruri
Address : School of Mathematical Sciences
Queen Mary, University of London
Mile End Road
London E1 4NS
Office : Maths Building  MB-113
Telephone : +44 (0)20 7882  5475
School Fax : +44 (0)20 8981 9587
Email Address : H.Maruri-Aguilar ¯_ qmul.ac.uk

I am a Lecturer in Statistics in the School of Mathematical Sciences at Queen Mary, University of London.

Statistics Seminar | Research | Recent Publications | Teaching | Office hours| CV

Teaching

Autumn 2017:

Spring 2019: Probability and Statistics I MTH4116/MTH4216 (formerly Introduction to Statistics MTH4106/MTH4206)

Spring 2020: Introduction to Machine Learning MTH6101

Autumn 2021: Computing and Data Analysis with Excel MTH4114

Spring 2021: Introduction to Machine Learning MTH6101

Spring 2022: Introduction to Machine Learning MTH6101

Research

(a) (b) (c)

The left side of the image above (a) is an example of barcode and clustering of points (euclidean distance, single linkage). The picture (b) is an example of principal component analysis. The plot (c) shows the surface L for the lasso. All the calculations and animations were generated with R.

I coedited the special issue of the Journal of Algebraic Statistics stemming from the Session on Algebraic Statistics in ACA 2013.

A list of papers and reports is available in my research page.

The talk recently given at the IADS PhD forum (25 May 2021) MP4 file

Office hours May-September 2021

Please be aware that I have very limited office hours outside teaching term so always verify information in this page before coming to office hours.

My office hours are currently shown in the qmplus page for my Module MTH6101 "Introduction to Machine Learning". There is an access link there as well.

Occasionally I have office hours in whereby.com/hugomaruri, but make sure to arrange an appointment with me.

Curriculum Vitae

Available upon request.
This page is maintained by Hugo Maruri-Aguilar. The views and opinions expressed in these pages are mine. The contents of these pages have not been reviewed or approved by Queen Mary, University of London.