Using Data Analysis to Study ME/CFS and Long Covid: Session 1

We expanded our Ramsay Grant Program in 2021 by launching the new Stupski Awards, which support research using data from the Registry. These webinars feature the 2021 Stupski Award recipients, Efthymios Kalafatis and Jennifer Stone, PhD, who will discuss their research and answer your questions.

Efthymios [Themos] Kalafatis
Data Scientist/Machine Learning Engineer

Kalafatis will discuss tracking his ME/CFS symptoms and analyzing the data and how that led to his Stupski-funded project, which applies powerful machine learning and text analysis methods to better understand symptoms, identify potential associations with treatments and life events and examine models of temporal patterns.

Kalafatis has over 20 years of data and text mining experience and holds a patent on a methodology that uses machine learning, network analysis and natural language processing for medical research. He has applied artificial intelligence techniques to research ME/CFS and natural language processing methods to analyze patient records. Themos has a BA from the University of Portsmouth and a MSc from the University of East Anglia.

Session I
NEW DATE: January 21, 2022
10-11 am PT
Please click here to register.