Description

Senior Data Scientist with 15 years of experience delivering machine learning and AI solutions for complex, real-world problems across healthcare, climate, energy, and industrial domains. Proven track record of leading cross-functional projects, collaborating with stakeholders, and translating large-scale data into actionable insights and decision-support tools. Experience spanning academia and industry, with expertise in time series analysis, data-driven modelling, and AI-driven innvoation.

Industry field of expertise

Languages

English
Fluent
French
Fluent
German
Basic
Romanian
Native or bilingual

Workplace preferences

Can work on-site

Lausanne (up to 50km)

Swiss Statistical Design and Innovation
Senior Data Scientist
DIGITAL AND IT
September 2025 - February 2026 (5 months)
Fribourg, Switzerland
• AI/ML for energy forecasting: Developed a validation and backtesting framework for energy demand forecasting, benchmarking and optimizing tree-based, neural network, and transformer-based models, leading to consistent performance improvements across providers for intraday forecasting (Python, PyTorch).
• AI/ML applied data science: Led the technical delivery of end-to-end AI/ML solutions for manufacturing anomaly detection and sales forecasting, including presentation of results to stakeholders. Led the design and execution of an audio signal classification project. Completed proof-of-concepts were validated and funded for the next project phase.
Machine learning Deep Learning Python Forecasting Anomaly detection
Volv Global SA
Senior Research Data Scientist
PHARMACEUTICALS INDUSTRY
July 2023 - August 2024 (1 year and 1 month)
Lausanne, Switzerland
• Machine learning for healthcare: Developed ML methods for patient classification and early disease diagnosis across multiple disease areas using real-world data, improving predictive performance by 10-20% over clinical domain experts
• Patient group discovery and explainable AI: Applied clustering, explainability, and rule extraction to identify patient subgroups and characterize subgroup-specific predictive factors, delivering interpretable findings to pharmaceutical partners
Machine learning Pharma Explainable AI Python Deep Learning
Swiss Data Science Center, EPFL
Senior Data Scientist
RESEARCH
September 2017 - December 2022 (5 years and 3 months)
Lausanne, Switzerland
• Scientific ML: Worked on interdisciplinary projects in collaboration with ETH-domain laboratories, including representation learning for climate science, physics-informed ML for atmospheric prediction, and forecasting of extreme events.
• Machine learning and causal inference: Developed robust high-dimensional regression methods for climate change detection under interventions and transfer learning setings with good extrapolation properties (Python).
Machine learning Data science Project Management Climate science Causal reasoning