Fabio Sangalli

Process Chemistry: Developed and executed analytical methods (GC, HPLC-UV) and optimised process parameters, bridging lab-scale synthesis with production.

Statistical Modeling: Applied DoE, PCA and PLS to model complex datasets and maximise information from limited experiments. Python-Based Analytics: Built automated data pipelines in Python (pandas) with Git version control for reproducible analysis and process monitoring.

R&D Chemist & Process Improvement - ALPA - Pregnana Milanese (MI)

(2025-06)

• Process Chemistry: Developed and executed analytical methods (GC, HPLC-UV) and optimised process parameters, bridging lab-scale synthesis with production.
• Statistical Modeling: Applied DoE, PCA and PLS to model complex datasets and maximise information from limited experiments.
• Python-Based Analytics: Built automated data pipelines in Python (pandas) with Git version control for reproducible analysis and process monitoring.
• Cross-functional Collaboration: Coordinated with R&D, production and quality teams to identify Critical Process Parameters.

PhD in Industrial Chemistry - Politecnico di Milano - Milan

(2022-01 - 2025-10)

• Synthetic & Enzymatic Chemistry: Designed and executed multi-step small-molecule synthesis of substrate and probe molecules to investigate enzymatic activity, including air-sensitive and Schlenk-line work. Developed enzymatic cascades and chemo-enzymatic conversions (e.g. cannabielsoin from cannabidiol).
• Retrosynthetic Design: Applied manual retrosynthetic analysis to plan routes toward target molecules, then validated experimentally.
• Route Evaluation: Compared biotechnological vs chemical synthesis routes, benchmarking competitiveness — directly relevant to data-driven route scouting.
• Chemometrics for Synthesis: Used Design of Experiments (DoE), PCA, PLS and ASCA to reduce reaction steps and explore previously unseen chemical space from limited experimental data.
• Flow & Scale-up: Supported batch-to-continuous translation (Vapourtec/Zaiput) and characterised products by NMR, GC-MS, HPLC.
• Collaboration: Partnered with Istituto Ronzoni (NMR) and TU Delft (synthetic routes).

Jr. Business Developer - Sipcam Oxon S.p.A. - Pero (MI)

(2021-01 - 2022-12)

• Managed implementation of new product portfolios across the agrochemical supply chain, acting as a bridge between client requirements, R&D formulation and plant production capabilities — direct exposure to crop-protection chemistry and commercialisation.

Internship - Dow - Mozzate (CO)

(2020-01 - 2021-12)

• Conducted physical-chemical evaluations of polyurethane formulations on a kilo scale, aligned with industrial safety and quality standards.

PhD - Industrial Chemistry and Chemical Engineering - Politecnico di Milano (2022-01 - 2025-10)

Master - Chemical Science - Università degli Studi di Milano (2019-01 - 2019-12)

Bachelor - Chemistry - Università degli Studi di Milano (2017-01 - 2017-12)