About Me

Data science PhD and EPFL graduate with extensive experience developing and deploying data-driven methods for real world applications. Passionate about software engineering and writing.

Selected Works

GBRS: Gradient Boosted Risk Scoring

Transparent ML library
A gradient boosting approach for generating clinical risk scores. Working library implemented in C++ with Python and R bindings.

Delphi: Deep Learning for Phenotype Prediction

Under Review
A transformer-based deep learning method for genetic risk prediction.

Method and system for extracting clinical markers of cardiovascular health from MRI images

Pending Patent EP20250214061 • Filed 7.11.2025
A novel system for automated extraction of cardiovascular biomarkers from MRI scans.

Systematic Estimation of Treatment Effect on Hospitalization Risk as a Drug Repurposing Screening Method

World Scientific 2024
A computational framework for identifying drug repurposing candidates from real world data by estimating their effect on hospitalization risk.

Timeline

CHUV, UNIL PhD Student and Postdoc in the Translational Machine Learning laboratory October 2021 – Present
Lausanne, CH
  • Designed and applied computational methods for predicting genetic risk, isolating drug effects, and modeling hospitalization events using large-scale observational real-world data from the UK Biobank
  • Data analysis for the HEARTMAGIC study, a collaboration between CHUV and HUG that aims to identify treatment targets for patients with heart failure with preserved ejection fraction
Invision AI Software Engineer - Intern and Junior March 2020 – Sept 2020, May 2021 – October 2021
Renens, CH
  • Training and evaluation of deep learning models for cars and pedestrian 3D detection
  • Synthetic data generation with Blender Python API
CHUV - Nuclear Medicine Laboratory Research Assistant - Civil Service Sept 2017 – Jul 2018, Jul 2019 – Sept 2019, Mar 2021 – Apr 2021
Lausanne, CH
  • Helped implementing mathematical models for the assessment of renal function of mice based on PET images
  • Assissted in cell culture, radio-chemical binding experiments, article redaction and data analysis
Ecole Polytechnique Federale de Lausanne - EPFL Master in Computational Science and Engineering Sept 2019 – Feb 2021
Lausanne, CH
Ecole Polytechnique Federale de Lausanne - EPFL Bachelor in Physics Sept 2013 – Jul 2017
Lausanne, CH