Francesco Bruno

Personal Information

Date of Birth: 16 Jan 1998
Gender: Male
Nationality: Italian
Email: bruno@cerm.unifi.it
Languages: Italian (native), English (proficient)

Google Scholar: Profile
GitHub: Profile
PyPI: Profile

I am a chemist with a strong passion for spectroscopic techniques, and in particular Magnetic Resonance Spectroscopy (NMR). My research interests involve the structural and dynamical characterization of bioinspired materials via solution and solid-state NMR, as well as the development of NMR methods for studying particular systems.

Alongside my experimental work, my principal activity revolves around the processing and the analysis of NMR data by writing dedicated softwares. This includes the design of algorithms for denosing, fitting, and data manipulation in general, as well as the implementation of analysis workflows. My main project, KLASSEZ, is a python package that aims at making NMR processing and analysis more reproducible, accessible and transparent to both the users and the scientific community in general.

Download the full CV

Research Interests

  • Solution and solid-state NMR spectroscopy of materials and biomolecules
  • Data processing, denoising, and multivariate analysis of spectral data
  • Development of open-source softwares for NMR

Work Experience

Research Scholarship · Jan – Jul 2026
Magnetic Resonance Center (CERM) & Department of Chemistry “Ugo Schiff”, University of Florence
Development of software for the analysis of temporal series of NMR spectra in the formation of inorganic oxides.

NMR Technician · Jan – Nov 2025
Magnetic Resonance Center (CERM), University of Florence
Setup and maintenance of solution and solid-state NMR spectrometers; data acquisition, processing and analysis; research support.

Education

Ph.D. in Structural Biology (CHEM-03/A) · 2022–2024
Magnetic Resonance Center (CERM), University of Florence
Thesis: Automatized Quantitative NMR for Industrial Applications
Supervisor: Prof. Enrico Ravera

Master’s Degree in Advanced Molecular Sciences (LM-54) · 2019–2021
University of Florence
Thesis: Structural characterization of bioinspired inorganic oxides
Supervisor: Prof. Enrico Ravera
Co-supervisor: Prof. Ilaria Palchetti

Bachelor’s Degree in Chemistry (L-27) · 2016–2019
University of Florence
Thesis: Innovative Denoising Methods Applied to Silica-Lysozyme Interaction Studies
Supervisor: Prof. Enrico Ravera
Co-supervisors: Prof. Leonardo Tenori, Lucia Gigli

Other experiences

Research Secondment · May – Nov 2023
Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany
Supervisors: Dr. habil. Michael Maiwald, Dr. Klas Meyer
Development of Python-based tools for data evaluation of NMR spectral data from high- and low-field instruments.

Schools and Conferences

  • MaSAG25 Summer School and Conference
    9–11 June 2025 L’Aquila (AQ), Italy
    Contribute: invited speaker and poster presentation

  • 51st National Conference on Magnetic Resonance
    4–6 September 2024 Florence (FI), Italy
    Contribute: poster presentation

  • 5th G-NMR School
    6–10 March 2023 Düsseldorf, Germany
    Contribute: participant

  • GIDRM DAY – Data analysis and NMR: from fundamental aspects to health and materials applications, in memory of Stefano Caldarelli
    14 October 2022 Online
    Contribute: organizer

  • Italian-French International Conference on Magnetic Resonance
    27–30 September 2022 Milan (MI), Italy
    Contribute: poster presentation

  • Chianti Workshop: Opening New Doors for Magnetic Resonance
    19–24 June 2022 Principina Terra (GR), Italy
    Contribute: flash talk and poster presentation

Students

  • Co-supervisor – Degree in Chemistry
    Student: Cristian Calabrò
    Thesis title: Structural Analysis and Chemical Composition of Nests of Various Vespidae Species using Solid-State NMR Spectroscopy
    Supervisor: Prof. Enrico Ravera
    Graduation date: 10 December 2025

  • Co-supervisor – Degree in Chemistry
    Student: Alessia Dhamo
    Thesis title: Characterization of Inorganic Oxide Heterogeneous Catalyst Containing Cytochrome-c
    Supervisor: Prof. Enrico Ravera
    Graduation date: April 2026 (expected)

Developed softwares

klassez
Python software for processing and analysis of NMR data.
GitHub · PyPI

pyIHM
Software for quantitative analysis of mixtures through Indirect Hard Modelling of NMR spectra.
GitHub · PyPI

Skills

Programming: Python (advanced), Bash (intermediate), Bruker pulse sequences (intermediate), C++ (basic)
Operating Systems: Linux (advanced), Windows (advanced)
Other tools: LaTeX (advanced), Adobe Illustrator (intermediate), GIMP (intermediate)
Languages: Italian (native), English (proficient)

Other Interests

Traditional Japanese swordsmanship – Hokushin Ittō-ryū Hyōhō (introductory teacher).