BIO

I studied biomedical engineering and machine learning at Boston University. I am now a Technical Solutions Engineer at Epic.

Work in the lab

In the summer of 2025 I was a Distinguished Summer Research Fellow in the lab, where I studied how neural activity shapes decisions and actions.

Summer project

My project asked how the activity of hundreds to thousands of neurons, recorded at the same time, relates to the decisions and actions we make. A single neuron’s spikes rarely map cleanly onto a movement, so we look for hidden patterns across the whole population. Principal component analysis (PCA) can find those patterns, but it cannot say what they mean. I worked with demixed principal component analysis (dPCA), which separates the patterns into interpretable parts: one that follows time, and others that depend on the condition, such as the direction of a movement. Methods like this could one day help brain-machine interfaces read out a person’s intended movement, even when they cannot physically move.

Video

In the video, I explain the idea with an analogy: six workers doing three jobs. PCA can tell that there are three groups, and dPCA also assigns each group a meaningful label.