My primary area of interest is in the intersection of Signal Processing, Control and Machine Learning. I’ve always been fascinated by the ease with which humans process information and make decisions. My research involves developing machine learning models that can recognize patterns in time series data to help us understand the behavior of complex systems. My key projects involve designing machine learning models to discover emerging patterns in bio-signals that helps us study human behaviour. I closely collaborate with Prof. Lisa Feldman Barrett to study the emerging patterns in fMRI datasets explaining human behaviour and emotions. I also work with Prof. Mathew Goodwin to develop machine learning models that can help predict psychological state of the patient from their bio-signals, collected using wearable devices.