Kishan Manani

Kishan Manani is a PhD Student at the Center for Complexity Science and British Heart Foundation Centre of Research Excellence at Imperial College London. His research interests are in modelling cardiac dynamics, excitable media, atrial fibrillation and machine learning in medicine. The focus of his PhD is the development and study of simple models of cardiac dynamics to study the effects of tissue structure in atrial fibrillation. He also uses machine learning tools with a recently developed signals processing engine to data mine clinical electrograms, electrical signals from electrodes in contact with the atrial surface during catheter ablation therapy.

He obtained an MSci Physics degree at Imperial College London in 2012 where he was awarded the Callendar Prize for all round excellence in physics: his master’s thesis focused on developing cellular automata models and applying techniques from non-linear dynamics to investigate atrial fibrillation. Kishan actively engages in STEM outreach by giving talks and demonstrations in various London schools.

Kishan’s academic webpage

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