Davide Valeriani, PhD
Senior Machine Learning Scientist
Neurable Inc.
Research Interests
- Brain-Computer Interfaces
- Machine Learning
- Neuroimaging (EEG/fMRI)
- Decision Making
- Wearables
Education and Training
- Certificate in Systems Design, 2021
Cornell University, US - Postdoc in Multimodal Neuroimaging, 2021
Massachusetts Eye and Ear, Harvard Medical School, US - PhD in Brain-Computer Interfaces, 2017
University of Essex, UK - MSc Computer Science Engineering, 2013
University of Parma, Italy - BSc Computer Science Engineering, 2010
University of Parma, Italy
New paper out! With amazing collaborators from two universities in Rome (Italy), we extended the collaborative BCI framework to adapt to the group each user is working in, further boosting the performance of BCI groups.
Check it out.
I am a computer engineer developing machine learning models to build neurotechnologies for human enhancement.
I combine machine learning and non-invasive neural recordings to develop:
- brain-computer interfaces to improve decision making
- novel diagnostic and rehabilitation devices for dystonia
- neural-based devices for novel human-computer interaction and brain monitoring
See Research page for more information.
