I am a research fellow at MGH Neurology Department, currently working on analyzing in vivo recording of neural activity during Deep Brain stimulation for patients with Parkinson’s disease to elucidate the neurophysiological basis of pathological neural activity and to utilize this analysis to guide our clinical practice. I hold a Ph.D. in Electrical Engineering from Northeastern University, with my dissertation research conducted at MIT Weiss Lab for Synthetic Biology. My Ph.D. research involved the development of biophysical, computational modeling, and de novo design of in silico neural circuits based on excitation-inhibition balance. Additionally, I used synthetic biology techniques to derive neurons with controlled identity from human induced pluripotent stem cells (hiPSCs) in vitro. Before my research on in vitro biological neural networks and during my graduate work for an MSc in Electrical Engineering, I used predictive machine learning and optimization methods to make critical design and performance enhancements to various types of dynamical systems, including wireless sensor networks and vehicular networks.