Short bio

I obtained my BSc in Economics and Statistics at the University of Geneva in 2018. I achieved the top position among more than 100 students and was honored with the award for “the highest overall grade average of the Bachelor’s Degree in Economics and Management.” Eager to expand my knowledge in statistics, I obtained a MSc in Statistics with distinction at Imperial College London in the Department of Mathematics in 2019. I was fortunate to receive “The Department of Mathematics Scholarship for the MSc in Statistics”.

I completed my PhD in “Modern Statistics and Statistical Machine Learning” at Imperial College London in 2022 under the guidance of Dr. Oliver Ratmann and Prof. Samir Bhatt. My PhD was fully funded by EPSRC. I focused my research on Bayesian models and methods to estimate age-specific infectious disease transmission dynamics, integrating disease surveillance time series, mobile phone data, and vaccination data. I was the first student to complete the CDT program among a cohort of 14 students at Imperial College London and Oxford University.

Currently, I hold the position of Principal Biostatistician at Novartis, where I am a part of the Advanced Methodology & Data Science (AMDS) team. This full-time role gives me the opportunity to engage in multiple projects. I am working on original statistical methods for pharmaceutical applications including the integration imaging data for survival prediction through deep learning.

Additionally, I hold the role of an Honorary Research Associate at Imperial College London, where I actively engage in ongoing research collaborations with academic faculty, PhD students, and MSc students.