Student Theses

I love advising students! There is immense fulfillment in guiding someone through a difficult and state of the art topic. Through student advising, I have gained several research opportunities.

Current Students

Monica Amezquita

• Topic: A Temporal Approach to Pedestrian Classification
• Expected Completion: Fall 2023

Alexandra Castelazo

• Topic: Multistate Markov Models for Analyzing College Student Pathways
• Expected Completion: Spring 2024

Graduated Students

Daniel Silva

• Topic: Gaussian Processes for Time Series Regression Forecasting Significant Ocean Wave Heights
• Completed Summer 2023
• Currently a PhD Student at UC Santa Barbara Statistics & Applied Probability

Ricardo Aguila

• Topic: Applications of PCA to Reinforcement Learning of Gridworld Type Problems
• Completed Summer 2023

Maya Kasfy

• Topic: History, Overview, and Connections Between Real Analysis and Probability Theory
• Completed Summer 2023
• Currently a lecturer at Cal Poly Pomona

Ronald Lencevicius

• Topic: Connections between Neural Tangent and Laplace Kernels
• Summer 2022
• Currently a PhD Student at UC Santa Barbara Statistics & Applied Probability

Chris Muzquiz

• Topic: Multi-output Gaussian Process Kernels for Natural Language Processing
• Expected Spring 2022
• Currently a PhD Student at UC Santa Barbara Statistics & Applied Probability

Charles Amelin

• Topic: Gaussian Process Super-Resolution
• Completed Summer 2021
• Currently a Data Scientist

Kaitlyn McGloin

• Topic: Methodology and Analysis of Collaborative Filtering Recommender Systems
• Completed Spring 2021
• Currently a Data Scientist Intern at Los Angeles County Office of the Assessor

Esteban Escobar

• Topic: An Introduction to Practical Topological Data Analysis
• Completed Spring 2021
• Currently a PhD Student at UC Irvine Statistics

Hakeem Frank

• Topic: Gaussian Process Models for Computer Vision
• Completed Spring 2020
• Currently a Data Scientist at Esri

Yuying (Bella) Guan

• Topic: Introduction to Gaussian Processes For Regression
• Completed Spring 2020
• Currently a Credit Analyst at New Omni Bank

Kevin Bailey

• Topic: Statistical Learning for Esports Match Prediction
• Completed Spring 2020
• Currently a Mathematical Statistician at Edwards Air Force Base

Gregory Nelson

• Topic: Red and White Wine Data Analysis
• Completed Spring 2020