PyCon 2019 in Cleveland, Ohio

Hassan Sami Adnan

Hassan Sami Adnan

Hassan Sami Adnan is a healthcare researcher working with the WHO at the Medical Faculty of Maastricht University, on a project related to the SDG 3. With his background in healthcare and IT, his area of research interests are Electronic Health Records and its regulatory aspects; Biobanking, Medical Ethics, Patient Data Privacy, and the application of artificial intelligence in "big data" for healthcare research/systems. Sami has researched on 3D printing for personalised medicine, and recently developed the Healthcare Differential Privacy Framework to make privacy-preserving data sharing viable for medical research and machine learning.

Presentations

Simulation model for 3D-printed scaffold development for personalised medicine using Python

Sunday 10 a.m.–1 p.m. in Expo Hall

Designing Robust Machine Learning Algorithm to Detect Rare Events Using PyTorch

Sunday 10 a.m.–1 p.m. in Expo Hall