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About

Data Scientist & Product Manager bridging rigorous science and real-world impact

I turn complex data into decisions, and then into shipped products. With a background in physics and hands-on experience in both data science and product management, I work at the intersection of technical depth and practical delivery.
At MaxWell Biosystems I owned the full cycle of software products: defining requirements, writing PRDs, prioritising roadmaps, and shipping data-driven software features in collaboration with engineers, designers, and domain experts. I'm comfortable going deep into a dataset and sitting at the table with stakeholders to align on what actually matters, translating problems into clear, executable plans.
My background in Physics of Complex Systems taught me that no problem is too complex to deconstruct. The core skill is identifying the key parameters and leverage points, breaking things down into their fundamental components, and approaching them with rigour, and from multiple angles. The same model that describes ideal gases can describe human behaviour. That habit of reframing problems through different lenses, and translating them across audiences, is something I keep with me for any problem I face.

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Skills

Azure

Data Science

Julia

Machine Learning

MySQL

PostgreSQL

Problem Solving

Python

Open for

fulltime

Work Experience

MaxWell Biosystems AG

2023-01 - 2026-04

Workplace
Data Scientist & Product Manager
Location

Zürich

Employement type

fulltime

At MaxWell Biosystems I worked as both Data Scientist and Product Manager, owning the full delivery cycle of data-driven software features, from problem definition and PRD writing to deployment and user adoption. I designed and implemented ML-driven analysis pipelines, managed roadmaps, and led cross-functional collaborations with engineers, domain experts, and external partners. Throughout, I acted as the bridge between technical complexity and business needs, translating ambiguous problems into clear, executable plans with measurable impact.

ETH D-BSSE

2022-04 - 2022-12

Workplace
Master Thesis Student
Location

Basel-Stadt

Employement type

internship

During my Master's internship at ETH Zurich's BioEngineering Lab, I developed a fully automated ML-based pipeline for the classification of neuronal signals from high-density electrophysiological recordings. Working at the intersection of data science and neuroscience, I rapidly built enough domain expertise to collaborate meaningfully with specialists in the field, and delivered a tool robust enough to remain in active use in the lab after my departure.

Academic Experience

Politecnico di Torino -

 

2019.09 - 2022.09

Master of Science, MSc in Phsics of Complex Systems

University of Trento -

 

2015.10 - 2018.10

Bachelor of Science, BSc in Physics