Ryan R. Rosario, Ph.D.

Data Scientist | Machine Learning Engineer | Lecturer | Consultant

This section will (eventually) be updated with a teaching statement and links to talks and other media I've participated in.

Courses Recently Taught

Computer Science 143
Data Management Systems
UCLA Henry Samueli School of Engineering and Applied Science
Winter 2025, 2024, 2023, Spring 2022, 2021, 2020, 2019, 2018
and
Online Masters Program in Engineering
Winter 2025, 2024, 2023

Masters in Business Analytics 402 (MGMTMSA402)
Introduction to SQL and Data Management
UCLA Anderson School of Management, Business Analytics Program
Fall 2025, 2024, 2023, 2022

Computer Science 144
Web Applications
UCLA Henry Samueli School of Engineering and Applied Science
Spring 2025, 2024


Computer Science 134
Distributed Systems
UCLA Henry Samueli School of Engineering and Applied Science
Fall 2024


Masters in Business Analytics (MGMTMSA 405)
Data Management
Masters in Business Analytics, UCLA Anderson School of Managemanet
Winter 2025


Previous Teaching

Spring Semester 2019
Applied Data Science
Google's TechXchange Program via Howard University


Pre-Doctorate Teaching

Statistics 404
Statistical Computing, Rick Paik-Schoenberg
UCLA Masters in Applied Statistics Program

Statistics 202ABC
Statistical Computing, Mark Hansen
Matrix Optimization, Jan de Leeuw
Markov Chain Monte Carlo Methods, Alan Yuille

Statistics C173/C273
Applied Geostatistics, Nicolas Christou

Statistics 112
Statistical Methods for the Social Sciences, Mahtash Esfandiari

Statistics 105
Statistics for Engineers, Hongquan Xu

Statistics 102BC
Matrix Optimization, Qing Zhou
Monte Carlo Methods, Qing Zhou

Statistics 100A
Introduction to Probability, Ying Nian Wu, Vera Ioudina

Statistics 13
Statistical Methods for the Life and Health Sciences, Nicolas Christou

Statistics 12
Introduction to Statistics for Geography and Environmental Studies, Gretchen Davis

Statistics 10
Introduction to Statistics, Vera Ioudina (3x), Brian Kriegler