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Talks and Public Engagement

Explore a collection of innovative projects showcasing cutting-edge technology and my public engagement presentations

  • 22/01/2025 "Clinical AI and Remote Monitoring for Women with Gestational Diabetes", guest speaker at Alan Turning Insititute Clinical AI meetings of AI in Women's Health. Slides

  • 10/09/2024 "FemTech and AI for women's health", guest speaker at Cambridge Tech Week's "FemTech and the Women's Health Gap: A Sleeping Giant" meeting. This event was inspired by celebrations earlier in the year to mark 40 Years since the admission of women to Peterhouse College, University of Cambridge. Slides

  • 03/07/2024-05/07/2024 "Transformers: from attention mechanisms to large language models", Tutorial Co-Chair and Speaker at PHME 2024. Slides available upon request. 

  • 04/02/2024 “Craft Your Path: Using the Business Canvas for Academic Projects and Career Goals”, invited talk in the Generation Programme for the high school students, Oxford Suzhou Advanced Research Centre. Slides available upon request. 

  • 17/11/2023 “Machine Learning in Medical Devices for Diabetic Blood Glucose Monitoring”. Case study talks at the IEEE SA P3191 Working Group of machine learning-enabled medical devices (MLMD) in clinical use. Slides available upon request.

  • 14/06/2023 Somerville MCR-SCR symposium: "Clinical Machine Learning and Artificial Intelligence in Medicine”

  • 03/10/2023 Freshers’ tutorial induction talk by invitation, Somerville College, University of Oxford.

  • 15/02/2023 Academic outreach talk: “Machine Learning for the Next Generation of  Health Informatics”, Somerville College, University of Oxford.

  • 09/12/2022 Co-Chair of NCRM National Workshop of Complex Clinical Data and Gestational Diabetes Mellitus, Oxford, UK.

  • 09/11/2022 “Clinical Machine Learning in Gestational Diabetes Monitoring”, presentation at the Daphne Jackson Trust Annual Conference, Royal Society, UK. 

  • 09/07/2022 “Machine learning methods — the essentials”, Tutorial at the European Conference of the Prognostics and Health Management Society. Video link. 

  • 23/06/2022 International Women in Engineering flash interview at the Department of Engineering Science, University of Oxford. Video link.

  • 16/05/2022 Lightning talk by invitation: “Machine Learning for the Next Generation of  Health Informatics – A journey in gestational diabetes”, Royal Academy of Engineering Annual Founder’s Day. 

  • 11/05/2022 Academic outreach talk: “Machine Learning for the Next Generation of  Health Informatics”, Somerville College, University of Oxford.

  • 01/12/2021 Academic outreach talk: “Machine Learning for the Next Generation of  Health Informatics”, Somerville College, University of Oxford.

  • 10/11/2021 Tutorial by invitation: “Challenges in Data Science Application in Healthcare”, PHME.

  • 26/02/2021 Somerville MCR-SCR symposium: “Clinical Machine Learning in Patient Health and Care – at a turning point”, Somerville College, University of Oxford.

  • 10/11/2020 Tutorial by invitation: "Machine Learning for the Next Generation of  Health Informatics”, US Conference of the Prognostics and Health Management Society.

  • 09/07/2020 Tutorial by invitation: "Machine Learning for the Next Generation of  Health Informatics”, PHME.

  • 09/07/2020 Standard Committee Panel Talk by invitation: “Regulatory Framework on Artificial Intelligence”, European Conference of the Prognostics and Health Management Society (PHME). Slides

  • 17/11/2020 Thinktank talk by invitation: “Machine Learning for the Next Generation of  Health Informatics”, UCB, Belgium.

  • 29/06/2020 Tutorial by invitation: "Machine Learning for the Next Generation of  Health Informatics”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2020.

  • 30/05/2020 “Blood Glucose Monitoring for Gestational Diabetes Health and Care”, Oxford Women in Computer Science Lightening Presentation. Audio slides

Teaching

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  1. Stipendiary Lecturer in Engineering Science, Worcester College, University of Oxford (10/2024–current)

  2. Lecturer and Lab supervisor of Time-Series Analysis in Deep Learning Module, Oxford EPSRC Centre for Doctoral Training (CDT) in Health Data Science, Department of Computer Science, University of Oxford. (11/2022)

  3. A1 Mathematics Engineering Science (2nd year UG): College Tutorial Lecturer, Somerville College, University of Oxford. (2022–2023)

  4. Medical Imaging (3rd year UG): Tutor, Department of Engineering Science, University of Oxford. (2020–2021)

  5. Wearable Sensors (3rd year UG): Tutor, Department of Engineering Science, University of Oxford. (2020–2021)

  6. Structural Biomaterials (MSc): Lecturer of the medical imaging module, Institute of Ageing and Chronic Diseases, University of Liverpool. (2015–2018)

  7. Advanced Signal Processing and Analysis (MSc): Workshop supervisor, Department of Engineering and Design, University of Sussex. (2006–2007)

  8. Digital Systems and Microprocessor (1st year UG): Lecturer (2005–2007), and lab supervisor (2004–2007), Department of Engineering and Design, University of Sussex.

  9. Digital Systems and Design (2nd year UG): Lab supervisor, Department of Engineering and Design, University of Sussex. (2005–2006)

  10. Electronics (2nd year UG): Lab supervisor, Department of Engineering and Design, University of Sussex. (2005–2006)

  11. Embedded Software Project (2nd year UG): Lab supervisor, Department of Engineering and Design, University of Sussex. (2004–2006)

  12. UML (2nd year UG): Lab supervisor, Department of Engineering and Design, University of Sussex. (2004–2005)

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