A sampling of recent research projects include:
- Statistical analysis of the intensity and rate of helmet contacts in college football, a project collaboration with the Lake Forest College Football team and the NCAA
- Image-based classification of body language poses to emotions using convolutional neural networks
- Applying machine learning to predict tweet topics based on the sex of the tweeter and what region the tweet originated from. (Collaborating with Prof. Ta in psychology)
- Applying machine learning to predict if user comments will change the viewpoint of the original poster in the Change My View section of a Subreddit (a specific page on Reddit)**
- Applying machine learning and statistical algorithms on the human genome to predict colorectal cancer. (Collaborating with Prof. Conrad in biochemistry and molecular biology) **
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Developing software, in collaboration with the Department of Preventive Medicine at Rush University Medical Center of Chicago, that will provide an online simulation and data capture tool to assess the utility and effectiveness of various “pre-commitment reward strategies” in prompting and sustaining desired behavior change (such as smoking cessation and weight loss). The tool is intended for use by healthcare providers and behavioral scientists.
**Indicates funding by the James RoccoResearch Scholarship
