Antonio Rubio
- Assistant Professor of Practice, Public Health
Contact
- (520) 626-2069
- Roy P. Drachman Hall, Rm. 200
- Tucson, AZ 85721
- antoniorubio@arizona.edu
Biography
Antonio Rubio, PhD, is a assistant professor of practice at the University of Arizona Mel and Enid Zuckerman College of Public Health, where he teaches courses on introductory statistics and statistical computing.Antonio spent the early part of his career focused on computational fluid dynamics, dynamical systems with symmetry and the development of turbulence in rotating convection. As a graduate student at Arizona State University he looked the route to complexity in rotating convection and the different dynamical behaviors that emerged as the symmetries of the problem were broken. As a post-doctoral researcher Antonio focused on describing fluid turbulence in rotationally constrained convection and measured how energy moved between scales in Fourier space.
Antonio joined the UArizona Mathematics Department in Fall 2014 and focused on undergraduate mathematics and statistics education. There Antonio taught a large number of courses ranging from first year courses focused on data for the general university population all the way through to senior level statistics courses for math undergraduates. He also taught in a large variety of formats including large lecture and both synchronous and asynchronous online.
In the summer of 2022 he brought his talents north of Speedway and joined the MEZCoPH Epidemiology and Biostatistics department. Now he is working on continued development of the BIOS 376 introductory biostatistics course and the 450/451 courses for public health majors with a quantitative emphasis. He is also working on developing new courses for the program, including a general education introduction to working with data.
Degrees
- Ph.D. Applied Mathematics
- Arizona State University, Tempe, Arizona, United States of America
- Studies in Rotating Convection
- B.S. Computational Mathematics
- Arizona State University, Tempe, Arizona, United States of America
Interests
Teaching
I have specific interests in teaching statistics and statistical programming.
Courses
2024-25 Courses
-
Introduction to Biostatistics
BIOS 376 (Spring 2025) -
Understand Health Through Data
BIOS 216 (Spring 2025) -
Health Data Acquisition
BIOS 450 (Fall 2024) -
Health Data Acquisition
BIOS 550 (Fall 2024) -
Health Data Acquisition
EPID 450 (Fall 2024) -
Health Data Acquisition
EPID 550 (Fall 2024) -
Health Data Mgmt Visual
BIOS 451 (Fall 2024) -
Health Data Mgmt Visual
BIOS 551 (Fall 2024) -
Health Data Mgmt Visual
EPID 451 (Fall 2024) -
Health Data Mgmt Visual
EPID 551 (Fall 2024) -
Honors Thesis
HPS 498H (Fall 2024) -
Introduction to Biostatistics
BIOS 376 (Fall 2024)
2023-24 Courses
-
Honors Thesis
HPS 498H (Spring 2024) -
Introduction to Biostatistics
BIOS 376 (Spring 2024) -
Health Data Acquisition
BIOS 450 (Fall 2023) -
Health Data Acquisition
BIOS 550 (Fall 2023) -
Health Data Acquisition
EPID 450 (Fall 2023) -
Health Data Acquisition
EPID 550 (Fall 2023) -
Health Data Mgmt Visual
BIOS 451 (Fall 2023) -
Health Data Mgmt Visual
BIOS 551 (Fall 2023) -
Health Data Mgmt Visual
EPID 451 (Fall 2023) -
Health Data Mgmt Visual
EPID 551 (Fall 2023) -
Introduction to Biostatistics
BIOS 376 (Fall 2023)
2022-23 Courses
-
Introduction to Biostatistics
BIOS 376 (Spring 2023) -
Health Data Acquisition
BIOS 450 (Fall 2022) -
Health Data Acquisition
EPID 450 (Fall 2022) -
Health Data Acquisition
EPID 550 (Fall 2022) -
Health Data Mgmt Visual
BIOS 451 (Fall 2022) -
Health Data Mgmt Visual
BIOS 551 (Fall 2022) -
Health Data Mgmt Visual
EPID 451 (Fall 2022) -
Health Data Mgmt Visual
EPID 551 (Fall 2022) -
Introduction to Biostatistics
BIOS 376 (Fall 2022)
2021-22 Courses
-
Calculus II
MATH 129 (Spring 2022) -
Intro to Applied Linear Models
DATA 467 (Spring 2022) -
Calc Concepts: Business
MATH 116 (Fall 2021) -
Intro to Applied Linear Models
DATA 467 (Fall 2021)
2020-21 Courses
-
Calculus II
MATH 129 (Spring 2021) -
Understanding Data
MATH 107 (Spring 2021) -
Calculus II
MATH 129 (Fall 2020) -
Intro Statistical Method
DATA 363 (Fall 2020) -
Intro Statistical Method
MATH 363 (Fall 2020) -
Intro to Applied Linear Models
DATA 467 (Fall 2020)
2019-20 Courses
-
Intro Statistical Method
DATA 363 (Summer I 2020) -
Intro Statistical Method
MATH 363 (Summer I 2020) -
Calc Concepts: Business
MATH 116 (Spring 2020) -
Calculus II
MATH 129 (Spring 2020) -
Functions for Calculus
MATH 122A (Spring 2020) -
Intro Statistical Method
DATA 363 (Spring 2020) -
Intro Statistical Method
MATH 363 (Spring 2020) -
Calculus I
MATH 125 (Fall 2019) -
Calculus II
MATH 129 (Fall 2019) -
Functions for Calculus
MATH 122A (Fall 2019) -
Intro Statistical Method
DATA 363 (Fall 2019) -
Intro Statistical Method
MATH 363 (Fall 2019)
2018-19 Courses
-
Intro:Stat+Biostatistics
MATH 263 (Spring 2019) -
Calc Concepts: Business
MATH 116 (Fall 2018) -
First-Semester Calculus
MATH 122B (Fall 2018) -
Functions for Calculus
MATH 122A (Fall 2018)
2017-18 Courses
-
Calc Concepts: Business
MATH 116 (Summer I 2018) -
Calc Concepts: Business
MATH 116 (Spring 2018) -
Intro:Stat+Biostatistics
MATH 263 (Spring 2018) -
Appl Coll Alg Data Anlys
MATH 109C (Fall 2017) -
Intro:Stat+Biostatistics
MATH 263 (Fall 2017)
2016-17 Courses
-
Calc Concepts: Business
MATH 116 (Summer I 2017) -
Calc Concepts: Business
MATH 116 (Spring 2017) -
Intro:Stat+Biostatistics
MATH 263 (Spring 2017) -
Appl Coll Alg Data Anlys
MATH 109C (Fall 2016) -
Intro:Stat+Biostatistics
MATH 263 (Fall 2016)
2015-16 Courses
-
Calc Concepts: Business
MATH 116 (Summer I 2016) -
Appl Coll Alg Data Anlys
MATH 109C (Spring 2016) -
First-Semester Calculus
MATH 122B (Spring 2016) -
Functions for Calculus
MATH 122A (Spring 2016)
Scholarly Contributions
Poster Presentations
- Fisher, J. M., Rubio, A., Dolby, A., Ugonna, C. P., Bedrick, E. J., & Chen, N. (2023, May). Threshold-Free Identification of Group-Difference Networks in Neural Connectivity Data. Statistical Methods in Imaging. Minneapolis, Minnesota: Statistics in Imaging Section of the American Statistical Association.