Areas of expertise
With a background in applied mathematics and years spent in financial analysis, she leads the charge in bridging theory and practical evaluation. Her focus is on uncovering where assumptions falter.
Key technical skills
He examines each risk model with the rigor of a skeptic, diving into code and data. His role centers on refining calibration algorithms for accuracy and reliability.
Focus areas
She investigates links between real-world events and model outputs. Her passion is integrating new data sources to test and validate risk assumptions in dynamic markets.
Core competencies
His curiosity lies at the intersection of research and technology. He supports the group by building analytical tools that make Bayesian calibration accessible to a broader audience.