About Me

Welcome! I am currently working as a Research Fellow at the Harvard Biodesign Lab. My research interests are human-machine interfaces that aim to enhance and rehabilitate human function. Currently, I am involved in the design and development of a new wearable mobile device to deliver effective functional electrical stimulation (FES) for gait assistance and mobility restoration of post-stroke individuals. Specifically, I have developed a real-time embedded system application running on FreeRTOS for this FES device while building a technical foundation for future work in the lab. Furthermore, I have been participating in research activities addressing issues in FES through creating a semi-dynamic calibration procedure with adaptive tuning during walking, providing easy user-donning ability, and developing an adaptive controller for effective delivery of FES.

Before joining the Harvard SEAS, I worked as an Electrical Design Engineer in the R&D Department of Lifeline Systems Company (formerly Philips Lifeline), which is now part of Connect America, on medical wearable devices and IoT solutions for emergency response, remote patient monitoring, and medication management with features like fall detection and location tracking. I was responsible for developing schematics and layouts for multiple layer PCB designs, creating a geofencing algorithm in C with different levels of sensitivity utilizing Wi-Fi Access Points, and creating a plug and play J-link debugger setup to facilitate firmware development.

On May 2020, I graduated from Worcester Polytechnic Institute with a Bachelor of Science degree in Electrical and Computer Engineering with a minor in Computer Science. My undergraduate thesis, supervised by professor U. Guler, was on the design and implementation of a wireless, wearable, non-invasive sensor (PPG sensor) that detects oxygen saturation, heart rate, respiratory rate, short-term and long-term heart rate variability, along with its accompanying smartphone application, backed by a real-time database, for early health risk detection (see conference paper by our team). Feel free to browse my portfolio (please refer to my GitHub page for the corresponding/additional repositories), CV, and publication thus far.