CV

Professional Appointments

• Research Associate (Aug 2024 - present)
  • University of Bristol
  • Supervisor: Dr Hannah Wakeford
  • Using ML techniques to improve data analysis methods for timeseries spectroscopic data to deliver workrelated to transiting exoplanet atmospheres.
• Research Associate (Apr 2024 - June 2024)
  • University of Bristol
  • Supervisor: Prof. Ben Maughan
  • Development of open-source software package, ContinUNet. Application of ML source extraction pipeline to next generation radio surveys from MeerKAT, ASKAP and LOFAR.
• Data Scientist (Oct 2021 - Mar 2022)
  • Rutherford Appleton Laboratory (Industry Placement)
  • SciML Group
  • Investigating VAEs and AEs applied to scientific data sets for image segmentation.
• Freelance Software Engineer (Sep 2019 - Sep 2022)
  • Uncommon Correlation
  • Python and Django back-end development for data governance a secure data processing systems.
• Software Engineer (Sep 2018 - Aug 2019)
  • Omni Digital
  • Back-end development, building robust systems in Python and Django. Experience creating and implementing an open API specification. Object oriented programming, using modern tools/technologies.
  • Front-end engineering and infrastructure experience.
  • Project lead on, and assisted in pitching for, Google funded project; involving assisting in project and team management, making technical decisions and client liaison.
• Programmer (Aug 2018 - Aug 2019)
  • WebTMS
  • Continuous development of the WebTMS system, both back-end and front-end development.
  • Data migration and database administration.
  • Providing first line technical support and training to clients and agents

Education

• PhD in Machine Learning for Radio Astronomy, 2024
• MPhys in Physics with Astrophysics, 2016

Teaching, Leadership & Outreach

• Teaching Support Assistant (Oct 2019 - May 2023)
  • University of Bristol
• Co-Founder and Programme Manager (Dec 2019 - Jun 2023)
  • DataAid
  • A student led initiative that provides voluntary data science consultancy to a group of selected charities. Responsibilities included: organising/chairing meetings with charities; recruitment of student volunteers; organising/leading training events; event management of 3 events (1 virtual and 2 hybrid).
• Public Events Coordinator (Jan 2015 - July 2016)
  • University of Manchester Physics Outreach (UMPO)
  • Co-organise a Physics outreach show
• Science Outreach Volunteer (2014 - present)
  • University of Bristol (Oct 2024): ‘Space Camp’ event for KS3 students
  • We the Curious (June 2021): ‘Hareclive in Space’ workshop at local school
  • UMPO (Jan 2014 - Mar 2016): Science ‘busking’ interactive workshops with KS3/4/5 students
• Science Communication
  • July 2021: Aerospace Bristol - Written in the Stars
  • Jan 2022: We the Curious - Article Interview

Grants & Awards

• 2012 Undergraduate Science Scholarship, The Ogden Trust
• 2011 Anthony Bellinger Award for Physics, The Thomas Hardye School

Professional Activities & Services

• 2024-present Developer Group co-organiser - University of Bristol Astronomy Group
• 2024-present Astronomy Seminars co-organiser - University of Bristol Astronomy Group
• 2024-present Machine Learning for Astronomy Notebook Tutorials - Resources
• 2019-2023 DataAid Committee
• Sep 2023 Local Organising Committee - BCRS MIGHTEE Symposium
• 2020-2022 Equality, Diversity and Inclusion Committee - AIMLAC CDT
• Professional Memberships: RAS (2021-Present)

Conferences & Professional Talks

• Invited Conference Talks
  • June 2024 - AIMLAC Artificial Intelligence Conference, Swansea, UK
  • Nov 2022 - Workshop for Korea-UK AI/ML Research in Fundamental Sciences, Seoul, South Korea
• Contributed Conference Talks
  • Sep 2023 - BCRS MIGHTEE Symposium, Bristol, UK
  • July 2023 - National Astronomy Meeting, Cardiff, UK
  • June 2022 - AIMLAC Artificial Intelligence Conference, Swansea, UK
• Contributed Conference Posters
  • Aug 2022 - IAUS 368: Machine Learning in Astronomy: Possibilities and Pitfalls, Busan, South Korea
  • July 2022 - National Astronomy Meeting, Warwick, UK
  • June 2022 - Machine Learning for Astrophysics, Catania, Italy
• Seminars and Colloquia
  • Oct 2024 - Galaxy Evolution Seminar, University of Oxford
  • May 2023 - Astro Seminar, University of Bristol
  • Jan 2022 - SciML Seminar, Rutherford Appleton Laboratory

Publications

• Stewart, H., Birkinshaw, M., Yeung, S., Maddox, N., Maughan, B., Thiyagalingam, J., ContinUNet: Deep Radio Image Segmentation in the SKA Era with U-Net, 2024, RASTI, 3, 5
• Shaw, R. A., Fotopoulou, S., Birkinshaw, M., Maddox, N., Stewart, H., DRUID: Source Detection and De-blending in Astronomical Images with Persistent Homology, RASTI, in review

Conference Proceedings

• Stewart, H. et al., Radio Image Segmentation with Autoencoders, Proceedings of the ML4Astro International Conference, pp 141–144
• Stewart, H. et al., Deep Radio Image Segmentation, IAU Symposium 368 Proceedings, in press