Department of Computer Science, Milstein 511, Barnard College
3009 Broadway • New York, NY 10027

My research is at the intersection of biomedicine and engineering, with a focus on signal processing and machine learning. My aim is to utilize my expertise in signal modelling and make discoveries that can be translated to enhance health and improve disease detection, prediction, and treatment. As a post-doctoral researcher and now as an Associate Research Scientist at the Department of Neurology in Columbia University Medical Center, I have studied the mechanisms behind the development of neurological illness over time using routinely available physiologic data. I develop predictive models for real-time detection of a disease state to aid clinicians in managing patients and improving patient outcomes more effectively. My long-term goal is to carry out interdisciplinary research that can provide clinicians, researchers, and practitioners valuable insights through mathematical modeling and analysis.

Prior to CUMC, I worked as a research assistant building sparsity-based algorithms for biological images. I developed an algorithm to reconstruct microglia images on extended regions of brain tissue. I also investigated correspondences between neural function and perceptual, affective, and cognitive processes that make up human aesthetic experience in public settings. I have also worked as a software developer at Cognizant Technology Solutions, developing software products for insurance technologies using agile methodologies, where I was involved in design, analysis, and implementation of business services.