Bio

Short bio

Dr. Emilia Gómez (MSc. Telecommunication Engineering, PhD in Computer Science) is a senior scientists at the European Commission’s Joint Research Centre, where she leads the Human Behaviour and Machine Intelligence (HUMAINT) tea,, providing technical and scientific support to EU AI policies, notably the AI Act and the Digital Services Act, as part of the European Centre for Algorithmic Transparency. She is also a guest professor in Music Technology at Universitat Pompeu Fabra in Barcelona.

Emilia has a long academic experience in the fields of Music Information Retrieval and Human-Centric Machine Learning. She was the 1st female president of the International Society for Music Information Retrieval, is currently a member of the OECD One AI expert group, an ELLIS (European Laboratory for Learning and Intelligent systems) fellow, and her work has been recognized by means of citations and honors, e.g. EUWomen4Future, Red Cross Award to Humanitarian Technologies or ICREA Academia.

Details

I am a senior researcher at the Joint Research Centre, European Commission (EC) where I lead the HUMAINT team that studies the impact of Artificial Intelligence (AI) on human behaviour and is part of the European Centre for Algorithmic Transparency.

I am also a Guest Professor (Full Professor Habilitation, Serra-Húnter and ICREA Academia) of the Department of Information and Communication Technologies, Universitat Pompeu Fabra in Barcelona, where I am part of the Music Technology Group.

I graduated as a Telecommunication Engineer at Universidad de Sevilla. Then, I received a DEA in Acoustics, Signal Processing and Computer Science applied to Music (ATIAM) at IRCAM, Paris. In 2006, I completed my PhD at the UPF, on the topic of Tonal Description of Music Audio Signals. I have been visiting researcher at Speech, Music and Hearing, Royal Institute of Technology, Stockholm, Sweden (2003), Centre for Interdisciplinary Research in Music Media and Technology, McGill University, Montreal, Canada (2010) and Centre for Digital Music, Queen Mary University of London (2015).

My research background is on the Music Information Retrieval field. I try to understand the way humans describe music and emulate those descriptions with artificial intelligence (AI) systems dealing with multimodal data. Starting from music, I research on the impact of AI in human behaviour. In particular, I contribute to study the impact of AI on jobs, decisions, fundamental rights and children.

I have co-authored >300 peer-reviewed publications, open datasets and software packages. I have supervised 15 PhD theses (3 ongoing) and contributed to a high number of funded projects (4 as PI). I was also a co-founder of the MTG spin-off company BMAT. My work is recognized by citations, media appearances, honours and awards.

I am interested in scientific dissemination.If you want to read some more about me, read these interviews in press (mostly in Spanish).

I was the first women president of the International Society for Music Information Retrieval and I am particularly involved in promoting the role of, and increasing opportunities for, women and improve diversity of the MIR and AI fields.

Recognitions

Contact: you can contact me through twitter/gmail using the username emiliagogu (@gmail.com or https://twitter.com/emiliagogu) 

You can see the citations to my work in google scholar or researcherID.