Data scientist with 10+ years of experience analyzing biosignals, behavioral data, and product data. Passion for using data to better understand and help people as well as for designing analytics to make data insights widely intuitive and accessible.
As a consultant at Keewi Inc (an early stage startup in the energy sector), I analyzed IoT time series data. At Intel, I managed the full pipeline of manufacturing data for the RealSense 3D cameras from early development to high volume production. Previously, I researched and developed biosensing technologies for Intel’s Perceptual Computing initiative on adding human-like senses to devices.
In my PhD research, I studied electrophysiological signals in the brain related to sensory processing of visual information, visual attention, and working memory using methods from signal processing, information theory, detection theory, and machine learning. Prior to that, I worked in research labs and interned at NASA Ames, applying signal processing techniques to neural data from the auditory system, the motor system, and patients with movement disorders.
