About Me
I'm a PhD candidate at Michigan State University in the Computational Mathematics, Science, and Engineering Department, specializing in computational metascience. My research focuses on developing methods utilizing machine learning to connect global researchers, aiming to unify the worldwide research enterprise.
Research Projects
Currently, I am working on various projects in computational metascience, including:
- Author name disambiguation for the identification and collaboration of researchers
- Tracking facility usage through machine learning techniques for astronomical observatory research management
- Studying career trajectories of PhD graduates for tracking the impact of scientific training outside of Academia
Research Interests
My future research interests lie in understanding the collaboration dynamics of researchers across the world and identifying ways to assist researchers utilizing advancements in data science. I believe that accurate disambiguation has far-reaching impacts:
- Facilitating collaborations
- Matching experts for peer review
- Identifying emerging experts for conferences
- Connecting researchers from under-resourced areas
Ultimately, my goal is to contribute to a more interconnected and equitable worldwide research ecosystem.
Life Beyond Research
Outside of my research, I enjoy:
All things sports
- Playing and watching soccer
- Participating in fantasy football leagues
- Running: I recently took up long-distance running and completed my first half marathon in 2024
Culinary Exploration
I have a passion for cooking, particularly dishes from my diverse background that allow me to stay connected with my roots while exploring new flavors and techniques. Cooking is an important way I stay connected to my cultural heritage from Venezuela, Spain, and Italy.
Mentorship
As a mentor with extensive experience guiding emerging researchers, I am committed to fostering inclusive scientific communities. These experiences have deepened my commitment to equitable access in science and shaped my approach to mentorship.
Focus Areas
I aim to guide and support emerging researchers in the following key areas:
- Data Science and Scientific Literature Studies
- Applied Natural Language Processing
- Scientific Visualizations
- Effective scientific communication and presentation skills
By combining technical expertise with a commitment to diversity, I strive to create more equitable access to scientific opportunities and help mentees reach their full potential in their research careers.