Miguel Boland

London, U.K.

PhD researcher with a background in Computer Science, AI and BioInformatics. Currently working on deep learning for Single Molecule Localisation Microscopy (SMLM).


Experience

Software Engineer & Bioinformatician

EMBL-EBI - European Bioinformatics Institute

  • Created machine learning prototypes and analyses for various production workflows and publications using the sk-learn Python framework & mlr R package.
  • Implemented the main metagenomic assembly pipeline using CWL, Python and various CWL executors.
  • Front and back-end web design of the MGnify website using Backbone, Webpack and Django frameworks.

Aug 2017 - July 2019, Cambridge, UK

Intern Junior Software Engineer

Rapita Systems Ltd.

  • Prototyped a high-throughput data capture product for compliance testing of embedded systems aboard automotive and aeronautical testbeds.
  • Responsibilities included all front-end software design, development and testing using the KnockoutJS framework with Selinium/Cypress, in addition to some back-end development in C / Ada. This resulted in a powerful and maintainable system which is now deployed with key stakeholders.

Summer 2016, York, UK

Industrial placement student

Koninklijke Philips N.V. (Research division)

  • Produced Java-based web projects relating to Philip’s tele-health platforms for chemotherapy and chronic long term illnesses.
  • Individually developed a GUI-based SQL query creator which resulted in a patent on behalf of Philips Research.

Jul 2014 - Aug 2015, Cambridge, UK

Education

Imperial College London - London, UK

PhD in Mathematics

Topic: Applications of deep learning in microscopy

Oct 2020 - Ongoing

Imperial College London - London, UK

MSc in Bioinformatics and Theoretical Systems Biology

GPA: 72 %

Oct 2019 - Sep 2020, London, United Kingdom

University of York

MEng in Computer Science and Artificial Intelligence w/ a year in industry

GPA: 1st class honours

Oct 2012 - Jul 2017, York, United Kingdom

Skills

Programming Languages & Tools
Workflow
  • AI research
  • Agile Development & Scrum
  • Cross Browser Testing & Debugging
Languages

Interests

Apart from my PhD, I enjoy most of my time being outdoors. My current passions are free climbing and triathlons.