Graduate Students

Galya Segal

PhD Student

PhD Thesis Subject: “Epileptic seizures prediction based on ECG and EEG signals using machine learning methods”

 


Rami Eid

PhD Student

PhD Thesis Subject: “Systematic approach to link RyR2 dysfunction with arrhythmogenic triggers in atrial and sinoatrial node”

 


Nitay Aspis

PhD Student

PhD Thesis Subject: “VT prediction by harnessing wearable devices and ML methods to identify physiological fluctuations indicating imminent episodes”

 


Layan Hamed M.D

PhD Student

PhD Thesis Subject: “Atrial fibrillation prediction and identification of timely administration of antiarrhythmic drugs in in-vivo zebrafish fish models”

 


Yael Drori

PhD Student

PhD Thesis Subject: “Early prediction of atrial fibrillation events”

 


Shani Assayag

PhD Student

PhD Thesis Subject: “Energy balance in healthy humans and in patients with atrial fibrillation”

 


Anat Rotschild

PhD Student

PhD Thesis Subject: “Investigating the impact of Ca2+ and PKA signaling on ATP dynamics in atrial-like cardiomyocytes derived from human induced pluripotent stem cells”

 


Jana Khoury

MSc Student

 

 

 


Nir Almog

MSc Student