About Me
I am an Applied Machine Learning Researcher and PhD candidate at Michigan State University in the Department of Computational Mathematics, Science, and Engineering. My work bridges the gap between computational metascience, Natural Language Processing (NLP), and large-scale data analysis.
My research focuses on developing machine learning methods to connect global researchers and unify the worldwide research enterprise. I leverage techniques in clustering, metric learning, and NLP to solve complex problems in scientific data.
Life Beyond Research
Outside of my research, I enjoy:
My Research
Mentorship
As a mentor I have extensive experience leading junior researchers. These experiences have deepened my commitment to expanding access to science and reasech, which has shaped my approach to mentorship.
Focus Areas
I guide and support emerging researchers in the following key areas:
- Data Science and Mining Scientific Data
- Applied Natural Language Processing
- Scientific Visualizations
- Effective scientific communication and presentation skills