Hi! I’m currently a research engineer working on challenging neural architecture search research under the supervision of Prof Frank Hutter (ELLIS Fellow). Here, I am also working on advancing the state of the art in deep learning for EEG data prediction. Previously, I was a researcher at the Gatsby Computational Neuroscience Unit at UCL, where I was working on evaluating biologically plausible perturbation-based learning algorithms to train deep networks under the guidance of Prof Peter Latham (Gatsby) and Tim Lillicrap (DeepMind).

In the past, I did my research thesis on deep learning-based personality detection from text with Prof Erik Cambria at NTU Singapore. Before getting into research, I was working as a software developer at Amazon.

I thoroughly enjoy coding and working on hard algorithmic problems. My interests lie at the intersection of deep learning and neuroscience.

Download my resumé.