Background

Education

PhD, model-based forecasting for demand-side management

EPFL — EDEY PhD Program · Lausanne, CH · 2015–2019

Thesis: Model based forecasting for demand response strategies · DOI

MSc (108/110), heat & moisture transfer in building components

Politecnico di Milano — Energy Engineering · Milano, IT · 2012–2013

BSc (105/110), Energy Engineering

Politecnico di Milano · Milano, IT · 2008–2011

Experience

SUPSI — Senior Researcher

Oct 2018 — present · Mendrisio, CH

Head of the Intelligent Energy Systems team. Probabilistic ML: explainable parametric and non-parametric models; uncertainty-aware estimation and control. Data-driven robust and stochastic control; flexibility of distributed assets; planning under uncertainty for electrical infrastructure.

Hive Power SA — Co-founder

Aug 2017 — present · Suglio, CH

Cloud forecasting pipelines (demand & generation), online learning. Grid-aware market design for local energy communities; smart tariffs; robust hydropower control. Convex optimization, distributed control.

SUPSI — Scientific assistant

Jan 2014 — Oct 2018 · Canobbio, CH

Modeling & simulation of electro-thermal systems; system identification for building dynamics; heat pumps and plant logic. Optimal PV/storage sizing; techno-economic sensitivity under uncertainty.

Leopold-Franzens Universität Innsbruck — Heat and mass transfer analyst

Mar 2013 & Aug 2013 · Innsbruck, AT

Selected projects

• DR-RISE (2023–2027) — Hierarchical forecasting for residential demand response
• REEFLEX (2023–2026) — Demand-side flexibility markets
• Oasi Forecaster (2017–2024) — Online prediction for ozone and air quality
• NCCR — FANS (2022–2024) — Fast neural algorithms for agent-based simulation
• LIC (2019–2023) — Swiss self-consumption community on blockchain
• ODIS (2020–2022) — Data-driven control for optimal DSO dispatchability