London, England, United Kingdom
PhD in Applied Stats and ML. Building probabilistic models and autonomous systems. Code + experiments: github.com/lkandakji
Chief Analytics Office within the Commercial and Investment Bank, focused on the design and deployment of agentic systems, LLM evaluation and safety, and the end-to-end delivery of high-priority AI products.
MSc programmes spanning Bioscience Entrepreneurship and Venture Strategy for Emerging Technology, Foundations of AI, and AI in Healthcare
PhD focused on extracting signal from high-dimensional, low-SNR data using probabilistic modelling, statistical inference, geometric learning, and 3D transformer architectures.
Led ML and deep learning research at a leading global ophthalmic institution, applying predictive models to 3M+ clinical records with deployment potential across tens of thousands of patients, resulting in seven peer-reviewed publications and a six-figure AWS research partnership.
Within Securities Services, led the design and delivery of the firm's first client-facing agentic AI system and a multi-agent post-trade processing pipeline. I embedded AI into core workflows to modernize custody, fund accounting, and trading operations by automating complex financial processes, extract insights from massive datasets, and reduce manual workload at scale across a platform serving 7,000+ institutional investors globally.
Canada’s federal telecommunications regulator, designed and deployed a national-scale fraud detection system processing millions of daily telecom records.