Nathaniel del Rosario

I am a first year graduate student at UC Berkeley. studying Data Science. I received my B.S. 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.

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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• 2025-05 Enrolled as a graduate student at UC Berkeley
• 2025-05 Joined CVS Health as a Data Science Intern
• 2025-03 Presented Capstone
• 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
• 2022-09 Enrolled as an undergradate student at UCSD
• 2022-06 Joined Chan Zuckerberg Biohub as a Data Science Intern