Analytical and scientifically-rigorous data scientist with a PhD in astrophysics. Expertise and experience in data handling, modeling, and visualization. Collaborative team player and data storyteller, with experience presenting results to technical and non-technical audiences. Aiming to leverage expert problem-solving and critical thinking skills to extract insights from data, communicate those insights, and use them to support business objectives.
Postdoctoral Researcher under the astrophysics research group led by Professor Matthew Bayliss. Contributed to the research goals of the SGAS collaboration.
Graduate Student Researcher under the astrophysics research group led by Professor Matthew Bayliss. Completed a PhD in physics with a concentration in astrophysics. Presented work at multiple conferences domestic and abroad.
Teaching Assistant for introductory physics lectures, labs, and discussion sections.
Undergraduate Student Researcher under the astrophysics research groups led by Professors Jeffrey Filippini and Joaquin Vieira. Aided in many smaller research tasks across a variety of subjects.
Data Science Professional Certificate, IBM Data Science via Coursera, 01/01/24,
ID: FL25WXZTQ58N
Resolving Clumpy vs. Extended Lyɑ In Strongly-Lensed, High-Redshift Lyɑ Emitters
Published in: The Astrophysical Journal, Alexander Navarre et al 2024 ApJ 962 175
Co-Author, Kim et al. 2022, 2023, Owens et al. 2023, Walker et al. 2023, Sharon et al. 2022