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.

Timeline

AI Peer Review Solo Builder February 2026 – Present
Lausanne, CH
  • Building aipr.pub, an AI-assisted scientific peer review platform.
CHUV, UNIL PhD Student and Postdoc in the Translational Machine Learning laboratory October 2021 – February 2026
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 – 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

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.