About Me

Hi, I’m Dave. I was a Data Science Intern at QueBIT, where I worked with a team of consultants and VP of Cross Solutions Architecture to research and implement a new predictive forecasting pipeline that included state of the art neural network approaches (e.g., N-BEATS, DeepAR). Please check out my portfolio or my github for examples of this work.

I am also a PhD student defending my dissertation in July 2023. I then hope to begin a career in data analytics/data science. Please feel free to browse my portfolio here and on my GitHub.

Previously, I was a doctoral student and National Institutes of Health Ruth L. Kirschstein National Research Service Award (NRSA) Fellow in the Language and Brain (LAB) Laboratory at the University of Connecticut. My research focused on how humans are able to adeptly understand spoken language, specifically focusing on how they adapt to the novel acoustic-phonetic information they encounter from each new talker.