Avatar

Michael O'Malley

P.h.D. Student

STOR-i, Lancaster University

Biography

I am a PhD student in Statistics and Operations Research at STOR-i, Lancaster University. My research interests include statistical modelling, non-linear regression methods and prediction. In my PhD I have been looking into applications within object tracking. To date in my PhD most of my work has been on the analysis of GPS tracking data in oceanography.

My PhD program is a 3+1 year degree, I have completed the MRes part and I am now in the second year of my PhD. Prior to Moving to Lancaster University, I was in University College Dublin studying for a BSc in Mathematics and Statistics. In the last couple of years of my BSc, I started to get really interested in statistics, in particular the predicting/clustering side. Which has led to my current studies.

Interests

  • Statistical Modelling
  • Machine Learning
  • High Dimensional Statistics
  • Environmental Data Science
  • Data analysis tools

Education

  • PhD in Statistics and Operations Research, 2018-Present

    Lancaster University

  • MRes in Statistics and Operations Research, 2017-2018

    Lancaster University

  • BSc in Mathematics and Statistics, 2013-2017

    University College Dublin

Projects

PhD Project Overview

In summary my PhD project focuses on statistical models for data gathering processes tracking moving objects through time. For example …

News & Accomplish­ments

Trivago’s recommender systems competition

Kaggle like competition, placed 27th out of out 575 entered teams. Entered with a colleague, our approach involved using lightgbm. Code can be seen at https://github.com/Fisch-Alex/Recsys2019

STOR-i

STatistics and Operation Research with Industry

STOR-i Logo STOR-i was established in 2010 as an EPSRC Centre for Doctoral Training (CDT). The Centre has developed an international reputation for the quality of its research. STOR-i is one of the few CDTs which have successfully obtained funding at all 3 funding calls.

STOR-i stands for Statistics and Operations Research with Industry, the programme takes 4 years. The first year covers a broad range of topics in Statistics and Operations Research. Which is followed by a three year PhD programme. At any given time STOR-i has about 40 PhD students within the program.

If you have any questions about STOR-i please use the contact me page to get in touch. You can also access the webpage to find out more and apply here.

Skills

R

Statistics

Python

Machine Learning

Linux

Contact

  • STOR-i, Lancaster University, LA1 4YW, United Kingdom
  • Ground floor of Science and Technology Building, Lancaster University
  • Skype Me
  • Github
  • Email Directly