I'm currently pursuing a PhD in the Health Sciences and Technology program of Harvard University and the Massachusetts Institute of Technology (MIT), with a focus in Artificial Intelligence and Medicine.
My current work involves the development of machine learning models to detect and quantify pain from (a) face videos and (b) physiological signals from wearable sensors and brain signals. There is often great variability in how people perceive, experience, and physiologically and behaviorally express pain, hence stemming efforts to build a one-size-fits-all pain recognition system. To address this, I am working on state-of-the-art machine learning methods for the personalization of the inference process. This approach results in models tailored specifically for individuals that still account for the broader population data.
Affective Computing Group, MIT Media Lab