I did my undergraduate studies in computer science, and then worked for a year in the IT industry, before rejoining academia. In August 2015, I completed my integrated Masters-PhD in biomedical engineering. My doctoral work involved the modeling of 3-D syncytium of smooth muscle networks to understand their functioning and control by the central and peripheral nervous systems. We collaborated with an experimental lab on the same.

Alongside, to broaden my knowledge, I took up projects such as modeling of Callosal neurons and also assisted a colleague in modeling Medium Spiny Neurons. Being a computer science engineer who moved to biosciences, I would position myself as a researcher who is well equipped on the computational and mathematical aspects. To strengthen my biological understanding, I volunteered and was selected for teaching assistantship in relevant courses such as Biopotentials, Bioelectricity and Advanced Cellular Electrophysiology. Alongside, I had been the head teaching assistant for a course on virtual instrumentation for three years. This led to the development of a set of four tutorials which are now available as mini e-books on Amazon.

Currently, I am a postdoctoral researcher in the Neuroinformatics Group (led by Dr. Andrew Davison) at UNIC, CNRS (Paris) working on the Human Brain Project. My work involves the design and development of a model validation framework for neuroscience, and its integration into existing model development workflows. Alongside, I am also involved in the development of PyNN, a simulator-independent language for building neuronal network models.