Lab members have contributed to fields such as neurotechnology and health data analysis, but specific individual achievements are not listed.
Research Experience
Leads or participates in multiple interdisciplinary projects spanning neuroscience, machine learning, and data science, aiming to develop new insights into the brain and use this knowledge to help people in need.
Background
Research interests include neurotechnology, reinforcement learning in healthcare, human-robot interaction, digital biomarkers, human ethomics, and real-world neuroscience.
Miscellany
The lab values important information contained within biological and behavioral variability, using statistical machine learning techniques for data analysis and behavior prediction.