New York

• Pretrained and fine-tuned custom neural-network foundation models for EEG brainwave data for neurological diagnostics, specializing in seizure detection.
• Directed clinical validation and statistical strategy for FDA regulatory clearance.

London

• Led development of a production xAI library using SHAP values to explain disease-detection ML models, with rigorous CI/CD pipelines and release cycles.
• Deployed predictive models for client-facing disease detection, forecasting patient health trajectories from medication history and hospital admissions.
• Architected agentic LLM solutions with RAG, building interfaces for plain-language querying of complex nested data.

Pasadena

• Built a deep-learning model for particle classification and momentum regression in the CMS detector with the Caltech LHC group (supervisor: Maria Spiropulu).
• Trained models on archival data, reaching 97% accuracy classifying particle flavor.

London

• Built highway transport models for Heathrow airport access from traffic simulations.

MSc Statistics (Data Science), Distinction

BSc Mathematical Physics, First Class Honours

Ranked 2nd in class

Physics Exchange Year

GPA 3.5/4