I'm Aaron Zampaglione. I'm your typical nerd who is curious about anything related to technology: machine learning, statistical analysis, computational biology, cloud computing, web apps, open source, and "hacking" anything I don't understand. Outside of tech, I'm interested in the hard sciences, body building, nutrition, and literature relating to the human condition. You can usually find me behind my screen, behind a book, at the gym, or at the beach thinking of ways to improve the world around me.
"... Your daily life is your temple and your religion. Whenever you enter into it take with you your all...”
- Kahlil Gibran
Master of Science
Bachelor of Science
Bachelor of Science
Researched how the Disney Blog could prove useful to the corporation by determining popular topics, prime time for blog posts, and negative comment detection (sentiment analysis).IPython Notebook
Using data from the MBTA’s fare collection system, my team and I focused on developing ridership prediction models. We explored the more nuanced aspects of when Bostonians ride the T, such as sporting events, weather, and geographic location of subway entrances.Project Website
Similar to the popular movie Money Ball, my team and I carried out an investigation into how Major League Baseball coaches could carry out pre-game analysis. The analysis could be used to gain insight into how an opposing pitcher might change his strategy based on the batter, inning, and other game features.The Code
Accurately predicting Emergency Room attendance can alleviate hospital-staffing dilemmas and reduce wait time for patients. In this scenario, I applied various Machine Learning techniques to emergency room visit records and historical event data in order to predict admissions one week in advance.The Code
The BridgeCut algorithm is a very effective technique for producing clusters in networks. However, there are cases in which the original algorithm proves inefficient. In order to solve this issue, I introduced three improvements to the BridgeCut algorithm.Full Report
A primary objective for mobile robots is to autonomously navigate unknown environments. As part of my undergraduate thesis, I presented methods in which smoothed paths and curved turns can be achieved, to make movement more efficient and aesthetically pleasing.Full Report
Using large clusters, I developed Hadoop MapReduce jobs to analyze terabytes of data for the Department of Defense. The results were pipelined directly to analysts, providing previously unavailable intelligence.
Protein Folds are responsible for the 3D structure of protein. Using spectral analysis algorithms, I attempted to find similarities between protein folds in order to predict functionality for unknown proteins.
American Society for Engineering Education
Department of Education