- Research Program Mentor
PhD Doctor of Philosophy candidate
Mathematics, computer science, machine learning, artificial intelligence, biomedical informatics
Machine Learning for Problem Solving
In this project, the student and I will come up with an interesting and challenging problem in the world that can be solved using a predictive machine learning model. We will research different datasets that would be used to build our model. Examples: 1) use time-series weather data to help predict how global warming will affect a certain town, 2) use medical data to predict the likelihood of a disease developing in a certain demographic, 3) use news headlines of the past to predict the outcome of the next election, etc. I will welcome suggestions made by the student and will urge the student to think independently on what topic interests them.
For this project, the student and I will explore either active or past Kaggle competitions and challenges. Kaggle competitions are machine learning tasks made by Kaggle or other companies like Google or WHO. This is a great way to practice machine learning skills and diverse problem-solving. Kaggle competitions are highly regarded in the industry and will look great on a resume. I will help facilitate the competition but encourage independent thinking and creativity.
For this project, the student and I will come up with an interesting topic and pick a few research papers around the topic. We will discuss the papers and their scientific contributions as well as their downfalls. Once those are established, we will either write an article reviewing the literature and suggesting the next steps or we will make a presentation on the topic. The drawback analysis can focus on ethics, sustainability, bias, and other problems the student may want to discuss.