Gagan Narula

Gagan Narula is a Senior Machine Learning Engineer at Earkick, where efforts focus on analyzing data in the mental health sector to uncover insights related to mood, stress, and anxiety levels, utilizing technology for real-time mental health assessment. Prior experience includes a role as a Research Scientist at UniversitätsSpital Zürich, where Gagan employed machine learning to predict intracranial pressure and conducted statistical analysis in an ICU setting. A Data Science Fellow at the Centre for humanitarian data UNOCHA, Gagan analyzed disability data to identify correlations during humanitarian crises. Earlier positions include post-doctoral research at the Institute of Neuroinformatics and a Research Associate position at the Indian Institute of Technology, Delhi, complemented by a summer internship at SiRF Technology. Gagan holds a PhD in Neuroscience from ETH Zürich and has advanced education in computer science, neuroscience, and biomedical engineering from prestigious institutions.