Nathaniel del Rosario

I am graduating with a Bachelor's in Data Science concentrating in ML/AI from UC San Diego in March. Previously, I spent wonderful summers interning at Bio-Rad (2024), San Diego Supercomputer Center (2023), Chan Zuckerberg Biohub (2022). I am also committed to democratizing data science education and have served as an Instructional Assistant to over 1500 students at the Hacioglu Data Science Institute. After graduation I will begin graduate school at UC Berkeley.

My strengths lie in bridging the harmonious intersection between healthcare and ML / AI. Consequently, my research interests center around decreasing bias of ML methods, experimentation/causal inference, and different applications of data science and machine learning, which I have explored through projects in computer vision, geospatial information systems (GIS), and industry experience in applications for bioinformatics, biotech, and healthcare.

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• 2025-01 Applied to Graduate School!
• 2024-12 LLM-Reasoners now supports planning algorithms (MCTS, DFS/BFS, Beam Search) in web environments with BrowserGym, check the README to try out!
• 2024-10 Joined Prof. Zhiting Hu's group working under Zhoujun Cheng, PhD and Shibo Hao, PhD (LLM Reasoners integrations)
• 2024-06 Joined Bio-Rad as a Data Science Intern
• 2023-09 Joined the Hacioglu Data Science Institute as an Instructional Assistant
• 2023-06 Joined San Diego Supercomputer Center as a Machine Learning Intern
• 2023-06 Enrolled as a visiting student at UC Berkeley
• 2023-04 I am fortunate enough to be advised by Prof. Ilya Zaslavsky on a GIS research project.
• 2023-02 Joined Deloitte as a Data Science Fellow
• 2022-06 Joined Chan Zuckerberg Biohub as a Data Science Intern
• 2022-04 Accepted into UC Berkeley, UCSD (committed!), UCLA