Short bio

Dr Miguel Molina-Solana is an Athenea3i Research Fellow (funded by an EU H2020 MSCA-COFUND project) with the Universidad de Granada (Spain). Before, he was a Marie Curie Research Fellow at the Data Science Institute (DSI), Imperial College London, where he led a Human-Data Interaction and Visualisation research group. He also worked as a Research Associate at the DSI and as a postdoc researcher at the Department of Computer Science and Artificial Intelligence of the University of Granada. His research experience comprises work in Data Mining, Machine Learning and Knowledge representation applied to different areas such as Music, Energy management and Healthcare.


Post-doc Experience

Athenea3i Research Fellow

2019 - 2022
Dept. Computer Science & AI, Universidad de Granada

Marie Sklodowska Curie Research Fellow

2017 - 2019
Data Science Institute, Imperial College London

Research Associate, Visualisation Engineer

2015 - 2017
Data Science Institute, Imperial College London

Research Associate, EnergyIN TIME project

2013 - 2015
Dept. Computer Science & AI, Universidad de Granada

Current Projects

PERCENTAGE - Deep Learning for predicting energy consumption in heritage sites. (EU H2020 MSCA project)
PROFICIENT - Deep Learning for Energy-Efficient Building Control. (EXPLORA project)
DataSound - Understanding data with sound. (EU H2020 MSCA project)
OVE - Open-source software stack, designed to be used in large scale visualisation environments like the Imperial College Data Science Institute's Data Observatory.
Do the Shuffle - Investigating listeners' relationships with music they have curated.



Some of my activities engaging with the broad society

Chasmata - The Sound of Mars, at the 20th anniversary of Guggenheim Museum Bilbao
Failling Walls - Breaking the walls of Data Visualisation in a 3-minute presentation!
DataBeers MLG - Presenting 'Sound Data Science' in a meetup of data and sound
Native Scientist - Explaining 'How printers work?' to primary students
TAT Granada 2020 - Our research on identyfing disinformation in Twitter