Co-developed mvlearn, the first major open-source Python package for multiview machine learning. Led OtoGlobal Health, a startup that developed a low-cost hearing screening device for low-resource settings. Also developed a low-cost device to treat postpartum hemorrhage in low-resource settings.
Research Experience
Conducting research in the Neural Acoustic Processing Lab, focusing on modeling representations of language and sound in the auditory cortex. Participated in several research projects at Johns Hopkins University, including developing a spike inference algorithm based on FRI theory with Dr. Benjamín Béjar and analyzing movements of vestibular schwannoma patients under Dr. Kathleen Cullen to understand the effects of neurectomy and neural compensation mechanisms.
Education
Graduated from Johns Hopkins University with a B.S. in Biomedical Engineering in 2020; currently pursuing MS/PhD in Electrical Engineering at Columbia University, supervised by Dr. Nima Mesgarani.
Background
Fields of interest: Neuroscience, machine learning, and signal processing. An MS/PhD student in Electrical Engineering at Columbia, and an NSF Graduate Research Fellow.
Miscellany
Enjoys skiing, movies, and reading great fantasy and sci-fi novels. Volunteered as a ski patroller at a local ski resort during high school, trained in emergency medicine.