I am a PhD student in the Department of Electrical and Computer Engineering at Johns Hopkins University and a visting researcher at Boston University. I am advised by Prof.Archana Venkataraman. My research interests lie in the intersection of Probabilistic Machine learning, Deep Learning, Signal Processing, and Medical Imaging. It involves high-dimesnional signal analysis with applications to diagnosis and therapeutics for neurological disorders. In particular, I aim to develop interpretable AI models of clinical utility while dealing with the challenges of small dataset and noisy EEG data from Epilepsy and Autism population.

I am a strong proponent of all-rounded growth, holistic life, and mental health management. Outside of research, I like to volunteer in community while maintaining and growing healthy connections. I enjoy hiking, dancing, cooking, painting, and sketching. I am an extroverted person and always cherish stimulating conversations. Feel free to reach out!

News

• [Aug 2024] Michelle, my mentee, presented her poster at RISE symposium, BU
• [Jun 2024] Paper accepted at UNSURE@MICCAI 2024, Marrakesh, Morocco
• [Apr 2024] Oral presentation at International AI for Epilepsy conference, Utah USA
• [Feb 2024] Invited speaker at Boston University’s Innovation Symposium
• [Oct 2023] Presented a poster at MICCAI 2023 Vancouver Canada
• [Sep 2023] Started as visiting researcher at Boston University