Research Interests
- Machine learning to provide statistical grounds for all varieties of artificial intelligence
- Data visualization to provide interpretable results (from deep learning and other domains)
- Intelligent agents which unite both data and models from multiple domains
- Verifying and improving deep learning practices
- Integrating domain knowledge into task-specific architectures
Education
[University of Southern California, Los Angeles, CA]
[Ph.D. in Computer Science] [2025]
[The Ohio State University, Columbus, OH]
[B.S. in Computer Science and Engineering] [2020]
[Specialization: Artificial Intelligence]
[Bachelors of Honors Mathematics]
[Honors Distinction in Mathematics]
Awards
[Viterbi School of Engineering Graduate School Fellowship] [2020] - [2024]
[Maximus Scholarship, The Ohio State University] [2016] - [2020]
[FEH Gracious Professionalism Award] [2017]
[Goldstein Math Scholarship] [2018] - [2019]
[Rasor-Bareis-Gordon Mathematics Exam Prize] [2019]
Teaching Experience
[University of Southern California][2021]
[Teaching Assistant for graduate-level course "CSCI 567: Machine Learning"]
[The Ohio State University, Columbus, OH] [2018]
[Tutoring Calculus at Ohio State's Mathematics and Statistics Learning Center]
Programming Language Experience
-Proficiency with: Python, Java, C++, MatLab
-Experienced with: SQL, HTML, and JavaScript