PhD Candidate · Michigan State University
I develop machine learning methods to connect global researchers and unify the worldwide research enterprise, bridging computational metascience, NLP, and large-scale data analysis.
About
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.
Work
I develop data-driven solutions for the scientific community, focusing on author disambiguation, research network analysis, and NLP for scientific literature.
Mentorship
As a mentor I have extensive experience leading junior researchers. These experiences have deepened my commitment to expanding access to science and research, which has shaped my approach to mentorship.
Focus
I guide and support emerging researchers in the following key areas:
Life
Outside of my research, I enjoy: