As a proficient full-stack machine learning engineer, I am dedicated to applying my skills towards solving complex problems in remote sensing, computer vision, and geospatial analysis. With experience in developing and deploying commercial products from requirements analysis to deployment, I prioritise building maintainable and scalable systems through my commitment to test-driven software development.
Driven by the potential of technology to create positive change, I am highly motivated to leverage my expertise in machine learning and software development towards achieving this goal. I thrive in collaborative, interdisciplinary environments and relish the opportunity to work alongside others who share this same passion for using technology to make a meaningful impact.
DareData Engineering, Remote 2021 - 2023
Machine Learning Engineer
Numerico Technologies, Remote 2018 - 2021
Machine Learning Engineer
Data Science for Social Good, Lisbon 2017 - 2018
Data Scientist and Mentor
Faculty, London 2017 - 2017
Data Science Consultant
University College London 2013 - 2016
PhD, Bioinformatics and Computational Biology
Image processing and analysis methods in quantitative endothelial cell biology
University College London 2012 - 2013
MSc, Computer Science
Durham University 2009 - 2012
BSc, Natural Sciences (Physics and Geophysics)
Aardvark Scholarship, Joe Nicholson 2012 - 2013
A scholarship awarded once a year to an exceptional UCL Computer Science student.
Tuning the endothelial response: differential release of exocytic cargos from Weibel-Palade Bodies.
T.D. Nightingale, J. McCormack, W. Grimes, C. Robinson, M. Lopes da Silva, I.J. White, A. Vaughan, L.P. Cramer, D.F. Cutler., Journal of Thrombosis and Haemostasis, June, 2018
Weibel-Palade body size modulates the adhesive activity of its von Willebrand Factor cargo in cultured endothelial cells.
F. Ferraro, M. Lopes da Silva, W. Grimes, H.K. Lee, R. Ketteler, J. Kriston-Vizi, D. Cutler., Nature: Scientific Reports, August, 2016
Super-resolution microscopy as a potential approach to diagnosis of platelet granule disorders.
D.Westmoreland, M.Shaw, W.Grimes, D.Metcalf, J.J. Burden, K. Gomez, A.E. Knight, D.F. Cutler, Journal of Thrombosis and Haemostasis, March, 2016
Effective Altruism, Giving What We Can Pledge2021 - Present
"I recognise that I can use part of my income to do a significant amount of good. Since I can live well enough on a smaller income, I pledge that from now until indefinitely I shall give 10 % of my income to whichever organisations can most effectively use it to improve the lives of others, now and in the years to come. I make this pledge freely, openly, and sincerely."
Mobile Education Partnerships, Myanmar 2011 - 2012
Communications and Development Team
Sarvodaya Charity, Sri Lanka 2009 - 2010