I am currently a data science Ph.D. candidate at Worcester Polytechnic Institute (WPI) in Worcester Massachusetts, working in the Data-driven
Intelligent Systems (DAISY) Lab under the guidance of
Professor Elke Rundensteiner.
My main research interests lie in developing novel AI algorithms for systems and technologies. I am currently applying this interest to solve
the challenges surrounding anomaly detection and explainable AI. I am also interested in making these systems useful to users by incorporating
human-in-the-loop and data visualization components.
Skills
Throughout my undergrad at UMass Amherst and my time at WPI, I have developed various technical skills to aid in my research. For a general programming language
I prefer Python but I also program in R, Java and SQL. I also have experience with web development where I have used HTML,
CSS, and JavaScript to build easy-to-use UI for the systems I have developed. Depending on the task at hand, I often leverage various packages and
frameworks. When working with machine learning I rely on Pytorch for deep learning tasks and Scikit-learn for shallow methods. To create meaningful
visualizations I prefer D3 for the flexibility and ability to visualize in web browsers.
Outside of research
When I am not working on my research, I enjoy playing and watching ice hockey where I cheer on my favorite NHL team, the New Jersey Devils.
During the winter you can often find me fighting through the bitter Massachusetts' cold playing pond hockey. Once the weather warms up, I
relax by sailing with my family at my hometown on the Jersey shore. At home, my partner Emma and I have also rescued a dog named Koda
and a cat named LG who have been our hiking buddies on trips across Massachusetts and Jersey.
