Alessandro Ansani

Alessandro Ansani

Academy Research Fellow
Unit
Faculty of Humanities and Social Sciences
Department / Division
Department of Music, Art and Culture Studies
Fields of science
112 Statistics and probability
6131 Theatre, dance, music, other performing arts
515 Psychology

Biography

I'm an Academy Research Fellow / Postdoctoral Researcher at the Centre of Excellence in Music, Mind, Body and Brain (CoE MMBB - University of Jyväskylä, Finland) and the Principal Investigator of the FRAMES project (Fine-gRaining Audiovisual cross-Modal corrESpondences), funded by the Research Council of Finland. At the CoE MMBB, I do research in Psychology of Music and Psychology of Audiovisuals. In particular, within FRAMES, I investigate auditory cross-modal associations and correspondences via online and lab psychophysical studies. Moreover, I take care of several projects' methodological/psychometric aspects.

I received my Ph.D. in Psychology & Cognitive Science at Sapienza University of Rome with an experimental thesis on the influence of soundtracks on the interpretation of audiovisuals in terms of several psychological mechanisms, such as empathy, attributed emotions, attention (eye-tracking & pupillometry), time perception, and memory.

My studies have an inclination toward methodological rigour and statistical (frequently Bayesian) analysis (GLMM, SEM, LGM, MDS, Latent Profile/Class, model comparison, etc.), complemented by a creative approach to experimental methodology.

I have the pleasure and honour to actively collaborate with several research institutes all over the world, among which: Institute Jean Nicod (École Normale Supérieure, Paris, France), Universidad Católica Luis Amigó (Medellín, Colombia), University of Victoria (Canada), University of Sussex (UK), University of Oxford (UK), University of York (UK), and Institute of Cognitive Sciences and Technologies (ISTC - CNR, Italy).

FRAMES

In 2025, I was awarded an Academy Research Fellowship (4 years) as Principal Investigator by the Research Council of Finland for a project titled FRAMES (Fine-gRaining Audiovisual cross-Modal corrESpondences), which explores the mechanisms behind audiovisual cross-modal correspondences across individuals and cultures (for more info, please visit the project's page: https://www.jyu.fi/en/projects/music-and-cross-modal-associations-frames).

Research interests

I mainly work as a data analyst/psychometrician for multiple research groups. Since 2023, I have pursued independent training in Bayesian Statistics through advanced textbooks, seminars, and online courses. I might have recently become a stubborn (but tolerant) Bayesian. Indeed, since 2024, Bayesian methods have become my primary approach to statistical inference in my research, with a particular focus on Bayesian Generalised Linear Mixed Models.

I'm the PI of the FRAMES project. My own research involves two main branches:

  • Music & Cross-modal Associations: exploring how people with different cultural and musical backgrounds associate music with images, shapes, colours, emotions, and words
  • Film Music: how soundtracks/background music influence the interpretation of audiovisuals via several psychological mechanisms, especially persuasion, empathy, attention (eye-tracking / pupillometry), memory, & time perception

Publications