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

• [Apr 2025] Attending INSAR Annual meeting at Seattle to present Michelle’s work
• [Mar 2025] Presenting DeepSOZ-HEM with Amruth at International AI for Epilepsy conference at Colorado USA
• [Jan 2025] Submitted thesis proposal and passed graduate board orals!
• [Oct 2024] Attending MICCAI at Marrakesh, Morocco
• [Sep 2024] Presenting poster at BU’s Population Health Data Science Symposium