Academic CV.

Postdoctoral Research Associate

King's College London

• Develop AI-driven precision active-surveillance tools for prostate cancer, spanning patient selection, risk stratification, lesion detection, progression assessment, and personalised surveillance.
• Build patient-specific Multi-Modal Fingerprints that integrate longitudinal prostate MRI, clinicopathological variables, demographic data, and radiology reports.
• Investigate foundation models, self-supervised and semi-supervised learning, and longitudinal architectures, with emphasis on missing data, domain shift, and external validation.
• Contribute to clinician-facing standardised reports that translate model outputs into patient selection and follow-up decisions.

Research Assistant

University of Warwick

• Refined and extended DAD annotations with nine non-driving activities and prepared data for robust benchmarking.
• Designed a multi-view multimodal driver-monitoring system using masked multi-head self-attention, improving DAD AUC-ROC from 88% to 97% and increasing robustness to missing views or modalities.

Teaching Assistant

University of Warwick

• Led labs and tutorials for an undergraduate Python and introductory machine-learning module, covering regression, classification, and neural networks.
• Provided one-to-one and small-group support for programming, machine-learning concepts, code troubleshooting, and experiment design.

PhD in Mathematics of Systems

University of Warwick

Supervisors: Prof. Victor Sanchez and Dr Tanaya Guha.

MSc in Mathematics of Systems (Distinction)

University of Warwick

Research on guide-dog oestrus-interval prediction and digital twins of urban crowds.

BSc in Mathematics and Applied Mathematics

Southern University of Science and Technology

GPA: 3.89/4.00.