Ashkan Pirmani

Ashkan got his master degree in industrial engineering in 2018, and after that, did another master’s in MBA. He started his adventure as a double degree Ph.D student in mid-2019 with the close collaboration of KU Leuven’s STADIUS/ESAT lab and the Biomedical data science research group of Hasselt University in Belgium. He is currently working on federated learning frameworks to apply this framework in health and big data using real-world data. He believes in FAIR data. As “Accessibility” is one of these FAIR data principles, He aims to launch the infrastructures and frameworks that support and learns from other data sources without sacrificing the privacy of real-world data and enabling collaborative learning. He believes we have already passed the centralized data silos era for big data research, and we should come up with ideas to infer how to learn from data, of course, by considering all the ethical and legal challenges. His other research interests are Machine Learning, Collaborative Learning, Decentralization, and MLOps, with a keen interest in containerization and Dashboard Design.


Nov 16, 2022 This would be honour to present “The use of AI and great real-world data to reveal MS progression: Landscape and future perspectives” at MS Data Alliance Stakeholder Engagement Meeting 2022 (Wednesday 16 November 2022).
“The use of Artificial Intelligence and Great Data to reveal progression in MS” is the title of the conferance. This conference would be Baveno Italy 🇮🇹.
Sep 6, 2022 Super thrilled to announce that my application to attend Oxford Machine Learning Summer School both ML x Health and ML x Finance tracks, in-person, has been successful.
So excited to attend this fascinting summer school at Oxford UK 🇬🇧.
OxML had an overwhelming number of applicants from 106 countries this year. More Information

selected publications

  1. GDSI
    Updated Results of the COVID-19 in MS Global Data Sharing Initiative
    Steve Simpson-Yap, Ashkan Pirmani, Tomas Kalincik, and 42 more authors
    Neurology - Neuroimmunology Neuroinflammation 2022