With a background in engineering, I approached Neuroscience generally curious about understanding how a group of biological brain cells perform “computation”, and in the fundamental mechanisms that give rise to cognition. I became interested in open questions where I can strike a balance between applying the skillset I possessed and acquiring new perspectives and skills. Over time, I appreciated how much visual cognition has to offer towards such an understanding. While I worked on diverse topics like cortical development, perceptual learning, and perceptual decision-making, I stayed within the vision domain and made computational modeling an integral component in each of these investigations.
In my PhD, I investigated the mechanistic and neurobiological basis of choice-induced biases in decision-making, and the various factors affecting this process. To address this question, I used a combination of computational neuroimaging (fMRI, MEG), quantitative psychophysics, and behavioural modelling in humans performing simple perceptual decisions.