Founder and CEO of a start-up that developed technology to detect neurologic deficits (like slurring, weakness, and facial droop) from video/audio using deep learning, spun out of my PhD work. This allowed anyone to use an iPad to quickly and accurately detect strokes, which was especially beneficial in remote, rural areas. I led a team of 10, including an R&D team of machine learning engineers, software engineers, and designers. Our work was also supported by the National Science Foundation Innovation Corps program, where we won the "Spirit of I-Corps" award.
I co-led the ‘HoloStroke’ project, exploring the use of 3D holograms to improve remote stroke diagnosis. I also led the development of a tablet app to deploy machine learning models and collect patient data, running human factors testing with healthcare professionals.
My doctoral research was supported by several prestigious awards, including the NSF Graduate Research Fellowship, the Siebel Scholarship, and the UCSD Chancellor's Research Excellence Scholarship. My work focused on developing human-centered machine learning tools to detect medical symptoms from video and audio, with a focus on stroke, Parkinson's, and respiratory disease. My dissertation, "Human-Centered Machine Learning for Healthcare", earned the Engelson Award for the department's highest-rated thesis.
Developed machine and deep learning classifiers for cough-based respiratory disease diagnosis, focusing on unsupervised data augmentation to boost performance.
During two summer internships, I developed a generative adversarial network deep learning pipeline to score Parkinson's disease symptoms from wearable sensor data. I also initiated and led a collaboration between IBM and UCSD to expand this research from the clinic to at-home monitoring, which included running a data collection study with rehabilitating patients in San Diego.
I graduated cum laude from UCLA with a B.S. in Bioengineering and a Minor in Biomedical Research. My undergraduate work was diverse, spanning from computational neural modeling to wireless optogenetics to developing hydrogels for glioblastoma drug delivery. My undergraduate research career culminated in a peer-reviewed publication on a novel holographic 3D tracking microscope I assisted in developing. Beyond the lab, I served as President of the ISPE student chapter, organizing biotech and pharma career events for over 300 students. I was also a member of the Tau Beta Pi Engineering Honor Society and a Managing Editor for the UCLA Undergraduate Science Journal.
