Leila Ghalebani

Dr. Leila Ghalebani is a driven and engaged Data Scientist with a strong computational background in Physical chemistry. Receiving funds from Sweden’s innovation agency VINNOVA for the project “Risk assessment of Alzheimer’s disease and dementia by NMR metabonomic” in 2009 was a reorientation for Leila’s scientific career towards data science. Leila applies Machine learning (ML) and Artificial Intelligence (AI) in computational medicine to understand underlying molecular bases of complex diseases (such as different dementia types).

Leila also develops algorithms for ML and applies multi-variate data analysis for the detection, diagnosis, and treatment of mental health problems and behavioral health. She is interested in deploying cost-effective ML and AI-powered analytics in real-world data. She has successfully adopted ML models in collaboration with health professionals and other “Applied Science” partners. She presumes that widespread adoption of human-centered computation in the personal, social, ethical context, and human rights implications will improve life quality and wellbeing through AI-powered analytics, and digital solutions.

There is still a lack of an official international court for governmental crime and violation against ordinary citizens. As a social activist, Leila joined the movement for justice, initiated by the family members, former political prisoners, and survivors of mass execution, in an international people’s tribunal (Iran Tribunal, Hague 2012). Tribunal’s verdict was that Iran’s government committed a crime against humanity in 1980-1989. Now she applies her analytics expertise to visualize the data related to mass execution in that bloody decade. The preliminary results are promising for giving a visual overview of the data. Using a complete dataset based on compared data from different sources will create a trustable unique visual reference for the future. Gathering all existing lists in one is her main goal in collaboration with Off-site.