Masters of Data Science candidate at the University of Virginia. Interested in exploring data through code; extracting a signal from the noise. I’m passionate about creating an interdisciplinary impact with machine learning and artificial intelligence in the fields of neuroscience and autonomous systems.
I am currently working on a capstone project to develop a specialized LSTM network that models after the scale-invariant patterns of the brain’s time cells and quantify its effects on accuracy for EEG data. The goal is to improve the prediction accuracy of current BCI (Brain-Computer Interface) technology on EEG data by implementing neural features as artificial agents.
In this blog post, I hope to highlight some of the most common algorithm patterns I compiled while prepping for my coding interviews. When I first started prepping for coding interviews, I tended to memorize the...
Drop me an email, check out my resumé & GitHub projects, or connect with me on LinkedIn!
I am actively searching for full-time opportunities after my graduation in May 2021. I love getting involved with the tech community so let’s connect!