- R&D toward reducing the physical footprint of a wearable medical device for blood oxygenation monitoring via energy-efficiency, hardware-, and algorithmic-based strategies.- As project coordinator, lead an interdisciplinary team of seven engineers, entrepreneurs, and PhD-level scientists.

In my postdoctoral fellowship, I studied how large, distributed populations of neurons support learning and performance of complex decision-making tasks in virtual reality. - Engineered a data processing pipeline for data cleaning and storage (SQL, MATLAB, DataJoint, Tableau). - Built multi-network RNNs to model intra-cortical interactions (Python, Tensorflow).Advisors: Drs. Carlos Brody and Jonathan Pillow

- Studied how motor cortical neurons produce muscle activity during voluntary movement, drawing on insights from artificial neural networks. - Developed hypothesis-driven analytic tools for dynamical inference and the characterization of high-dimensional structure and geometry in time-series data (MATLAB).-Collaborated with a team of statisticians to develop and test hypotheses using state of-the-art optimization and machine learning techniques (Python, Tensorflow).Advisor: Dr. Mark Churchland

Used surgical and pharmacological techniques to study how memories are formed, retrieved, and extinguished.Advisor: Dr. Donald Katz