I am a PhD candidate in Computer Science at NTU, Singapore, with a broad interest in Trustworthy Reinforcement Learning and its applications in safety-critical domains. My research focuses on enhancing the transparency, safety, robustness, and verifiability of RL policies. Currently, I am exploring programmatic policies (e.g. Decision Trees) for trustworthy RL, leveraging their interpretability and amenability for verification to achieve trustworthiness. In addition, I have a strong interest in Neurosymbolic AI and dedicate time to honing my theoretical skills by studying Learning Theory and mathematical topics relevant to AI.

Before joining NTU, I completed my graduate degree in Computer Science at ISI Kolkata, India, and my undergraduate degree in Electronics and Instrumentation at NIT Silchar, India.

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