Curriculum Vitae

Francesco Modena

Data Scientist & Product Manager

Zurich, Switzerlandfrancesco.modenads@gmail.comLinkedIn

About

I work on complex problems, where data needs to be turned into decisions. With a background in physics and hands-on experience across data science, product management, and customer-facing roles, I work at the intersection of technical depth and practical delivery. Outside of work, I experiment with agentic AI and self-hosted language models in my own time — the same curiosity that got me building neuroscience ML pipelines in the first place.

Skills

Product Management

Product RoadmappingPRD WritingCross-functional CollaborationStakeholder ManagementData-driven Decision Making

Data & Machine Learning

PythonRJuliaMATLABTensorFlowPyTorchSQLpandasscikit-learn

Agentic AI & AI-Assisted Development

Claude CodeCursorGitHub Copilot

Cloud & Compute

AWSGCP

Tools & Platforms

GitHubGitLab (CI/CD)Atlassian SuiteMicrosoft Office Suite

Languages

English — FluentItalian — Native

Experience

Data Scientist · MaxWell Biosystems · Zurich, Switzerland
Jan 2023 — May 2026
  • Managed software feature development projects from conceptualisation to release, coordinating across technical team and stakeholders to deliver user-focused tools.
  • Served as Product Manager for large-scale data-handling modules within the MaxLab Live software, translating scientific and customer requirements into a shipped product roadmap.
  • Field Application Scientist assignment (6 months, 50%): conducted discovery calls, delivered tailored demos to domain experts, and presented at major conferences — developing a sharp understanding of real and perceived user needs and how to translate them into product thinking.
  • Designed and implemented semi-automatic analysis algorithms and customised data analysis pipelines for internal studies and external users, integrating new analytical features into company software.
  • Acted as alpha tester and internal quality control for new software releases, defining requirements, detecting bugs, and collaborating closely with the software team to ensure robust performance.
Master Thesis Project · ETHZ — D-BSSE (BEL) · Basel, Switzerland
Apr 2022 — Dec 2022
  • Independently designed and deployed a fully automated ML pipeline for neuronal classification from complex neuroscientific datasets, covering data extraction, curation, wrangling, and advanced machine learning algorithms.

Education

Master's Degree in Physics of Complex Systems

Politecnico di Torino · 110/110 Summa Cum Laude

  • Mathematical Modelling, Machine Learning, Advanced Statistics.
  • Thesis: "Neuronal classification on MEA1K and NeuroCMOS through extracellular electrophysiological recording" — ETHZ D-BSSE, Basel.

Bachelor of Physics

University of Trento

  • Relevant coursework in Advanced Mathematics and Modelling.