2024 — 2025
Data Analyst Intern
Nicholas Lab · UC Irvine
Supported research involving imaging mass cytometry of human pancreatic islets, using computational tools and data analysis workflows to improve processing efficiency.
APPLIED MATHEMATICS · STATISTICAL COMPUTING · MACHINE LEARNING
Jacob
Bustamante.
M.S. Statistics student researcher at UC Irvine with undergraduate training in applied and computational mathematics and data science, focusing on statistical computing, mathematical optimization, and machine learning.
IRVINE, CALIFORNIA
BACKGROUND
ABOUT ME
I'm a graduate student in Statistics at UC Irvine with a background in applied and computational mathematics. My interests span causal inference, machine learning for data science, applied numerical analysis, and mathematical modeling.
My previous research experience includes computational analysis of biological imaging data as well as public health preparedness in government systems. As I continue my studies into more nuanced areas of statistical science, I seek to apply statistical and computational tools to complex, real-world problems.
EXPERIENCE
PROFESSIONAL
EXPERIENCE
Research, internships, and professional positions.
2026
Health Disaster Preparedness Intern
Orange County Health Care Agency
Supported emergency preparedness planning, data organization, and operational workflows using Excel and structured documentation.
2026
Academic Tutoring Specialist
AR Academics
Provided individualized mathematics instruction with an emphasis on conceptual understanding, quantitative reasoning, and effective problem solving.
ACADEMIC WORK
PROJECTS
Coursework, computational investigations, and independent projects.
NOTEARS: Learning DAGs Through Continuous Optimization
Exploring score-based causal structure learning, differentiable acyclicity constraints, and optimization methods through a research paper presentation.
IMAGE → FEATURES → ANALYSIS
Computational Analysis of Pancreatic Islet Imaging
Contributed to image processing and quantitative analysis workflows for imaging mass cytometry in the Nicholas Lab.
This page distinguishes completed research experience and presentations from future independent projects.
CAPABILITIES
TECHNICAL SKILLS
PROGRAMMING & COMPUTING
STATISTICAL METHODS
MATHEMATICS & OPTIMIZATION
MACHINE LEARNING & ANALYSIS
ACADEMICS
EDUCATION
2026 — PRESENT
M.S. in Statistics
University of California, Irvine
GRADUATED 2026
B.S. in Applied & Computational Mathematics
University of California, Irvine
Concentration in Data Science · Minor in Statistics
CONTACT INFO
LET'S CONNECT.
Interested in statistical research, quantitative methods, and continuing to learn and grow. Feel free to reach out below.