I am a fifth-year Ph.D. student in the Department of Electrical Engineering at Princeton University. I am co-advised by Profs. Niraj K. Jha and Naveen Verma. Within the electrical engineering department, I have a sub-speciality of computer engineering. My research interests lie at the crossroads of signal processing, machine learning, and low-power sensor networks. I have focused on designing systems that directly process sparsity-based representations of data in medical sensor networks. This has led to a new paradigm of information processing using compressed data representations.

In the past, I have received the B.Tech. and M.Tech. dual degree in electrical engineering with a specialization in microelectronics and VLSI design from the Indian Institute of Technology (IIT), Madras, in 2008. I have also received the M.A degree in electrical engineering from Princeton University in 2010. During my educational career, I have authored or co-authored over 15 technical papers and 5 pending/granted patents. I have received Ph.D. fellowships from Princeton University and Qualcomm Corporate Research in 2008 and 2010, respectively. I have also received academic awards such as the Roberto-Padovani scholarship from Qualcomm in 2011 and the Gordon Wu Prize for excellence from Princeton University in 2012. To support my terminal Ph.D. studies, I have been awarded the 2012 Harold W. Dodds Honorific Fellowship from Princeton University. I have a strong interest in pedagogy and am a graduate fellow of the McGraw Center for Teaching and Learning. I have also had some industrial experience through internships with research groups at IBM Zurich Research, Ricoh California Research, and Qualcomm Corporate Research in CA. I am a student member of the IEEE and have been a reviewer for IEEEE TBIOCAS, IEEE JETCAS, and the Design Automation Conference (DAC). I have non-academic interests in nutrition, fitness, cooking, and intellectual property law.