Qualifications
- MEng (Imperial College London)
- MS (Columbia University, City of New York)
- PhD / DPhil (University of Southampton)
Summary
I am a systems theorist with expertise in mathematical modelling, scientific computing, and machine learning. Aracial, acultural, and agender, I am a global citizen without a home country. My correct pronouns are they and them. I am also known as 11250205.
I received an undergraduate MEng in chemical engineering from Imperial College London, an MS in chemical engineering from Columbia University in the City of New York, and a PhD in bioengineering from the University of Southampton. My academic drifting has taken me to Argentina (internship), Australia (exchange year), and Hong Kong (internship) too.
After earning my PhD, I spent two years as a computational biologist at the University of Nebraska–Lincoln before joining the University of Sheffield and PRIMAGE, an EU-wide Horizon 2020 project in computational oncology. In 2023, I joined the University of Hull as a lecturer.
When I am not running my research programme, supervising projects, or lecturing, I advocate social justice and teach yoga.
MSc Artificial Intelligence and Data Science.
•Applied Artificial Intelligence.
•Research and Application in AI and Data Science (guest lectures).
MSc Artificial Intelligence for Engineering.
•Numerical Methods for Engineering.
Journal Article
A multiscale orchestrated computational framework to reveal emergent phenomena in neuroblastoma
Borau, C., Wertheim, K., Hervas-Raluy, S., Sainz-DeMena, D., Walker, D., Chisholm, R., Richmond, P., Varella, V., Viceconti, M., Montero, A., Gregori-Puigjané, E., Mestres, J., Kasztelnik, M., & García-Aznar, J. (2023). A multiscale orchestrated computational framework to reveal emergent phenomena in neuroblastoma. Computer Methods and Programs in Biomedicine, 241, Article 107742. https://doi.org/10.1016/j.cmpb.2023.107742
Mathematical Model of Clonal Evolution Proposes a Personalised Multi-Modal Therapy for High-Risk Neuroblastoma
Italia, M., Wertheim, K. Y., Taschner-Mandl, S., Walker, D., & Dercole, F. (2023). Mathematical Model of Clonal Evolution Proposes a Personalised Multi-Modal Therapy for High-Risk Neuroblastoma. Cancers, 15(7), Article 1986. https://doi.org/10.3390/cancers15071986
A theoretical analysis of the scale separation in a model to predict solid tumour growth
de Melo Quintela, B., Hervas-Raluy, S., Garcia-Aznar, J. M., Walker, D., Wertheim, K. Y., & Viceconti, M. (2022). A theoretical analysis of the scale separation in a model to predict solid tumour growth. Journal of Theoretical Biology, 547, Article 111173. https://doi.org/10.1016/j.jtbi.2022.111173
Presentation / Conference Contribution
A Single Shot Multi-Head Gender, Age, and Landmarks Detection using Shared Convolution Features
Khan, G., Pimbblet, K., Wertheim, K., & Ahmed, W. (2024, August). A Single Shot Multi-Head Gender, Age, and Landmarks Detection using Shared Convolution Features. Presented at 2024 29th International Conference on Automation and Computing (ICAC), Sunderland, United Kingdom