Pat Virtue

I'm an Assistant Teaching Professor in the Computer Science and Machine Learning departments here at CMU. As teaching faculty, I get to pour my heart and soul into courses, curriculum, and improving educational methods. This also means that am not running a research lab and am not planning to advise grad students in the near future. That being said, I'm always on the lookout for great TAs and anyone that wants to talk a little CS and AI education!

AI Scholars

CMU Pre-College and CS Pathways

Summer 2023
Summer 2022	(AI4ALL)
Summer 2021	(AI4ALL)
Summer 2019	(AI4ALL)

Introduction to Machine Learning (SCS Undergrad)

CMU 10-315

Spring 2023	160 students, 10 TAs
Spring 2020	140 students, 8 TAs, and 1 pandemic

Fundamentals of Programming and Computer Science

CMU 15-112

Fall 2023	With co-instructor Mike Taylor
Fall 2022	With co-instructor Mike Taylor, 475 students, and 41 TAs

Demystifying AI

CMU 15-181

Spring 2022

Pilot AI course for non-STEM majors

Practical Data Science

CMU 15-388/15-688

Spring 2022

30 students

Mathematical Foundations for Machine Learning

CMU 10-606

Fall 2021

20 students and 2 TAs

Computational Foundations for Machine Learning

CMU 10-607

Fall 2021

40 students and 2 TAs

Introduction to Machine Learning (Ph.D.)

CMU 10-701

Fall 2021

With co-instructors Ziv Bar-Joseph and Henry Chai, 150 students, and 8 TAs

Introduction to Machine Learning (Undergrad/Master's)

CMU 10-301/10-601

Fall 2020	400 students, 16 TAs, and 1 pandemic
Summer 2020	35 students, 4 TAs, and 1 pandemic

Artificial Intelligence: Representation and Problem Solving

CMU 15-281

Spring 2020	With co-instructor Stephanie Rosenthal, 85 students, 9 TAs, and 1 pandemic
Fall 2019	With co-instructor Fei Fang, 115 students, and 8 TAs
Spring 2019	With co-instructor Stephanie Rosenthal, 100 students, and 8 TAs

Principles of Imperative Computation

CMU 15-122

Fall 2018

With co-instructor Iliano Cervesato, 500 students, and 39 TAs

Artifical Intelligence

UC Berkeley, CS 188

Fall 2015	With co-instructor Stuart Russell, 400 students, and 9 TAs
Summer 2015	70 students and 3 TAs
Fall 2014	Teaching assistant with instructor Stuart Russell, 430 students, and 8 TAs

Machine Learning

UC Berkeley, CS 189
☆ Awarded EECS Outstanding Graduate Student Instructor Award

Spring 2015

Head TA with instructors Peter Bartlett and Alyosha Efros, 380 students, and 8 TAs

The Beauty & Joy of Computing

UC Berkeley, CS 10 (CS0 course)

6 terms, 2015-2017

Guest lecturer - Artificial Intelligence with instructors Dan Garcia, Justin Hsia, and Josh Hug

The Structure and Interpretation of Computer Programs

UC Berkeley, CS 61A (CS1 course)

Summer 2017

Tutor with instructors Stanfield Chu and Kevin Lin

GE Heathcare Advanced Course in Engineering

Edison Engineering Development Program, Advanced Course in Engineering

2004-2010

Instructor and curriculum designer Image Reconstruction, Image Processing, and 2D/3D Medical Image Visualization

MRI Fingerprinting

Magnetic resonance fingerprinting is a revolutionary means to produce quantitative medical images from a single pseudorandom MRI scan. I am currently researching deep learning techniques to make MR fingerprinting more accurate, efficient, and versatile.

Complex-valued Neural Networks

Better than Real: Complex-valued Neural Nets for MRI Fingerprinting
Patrick Virtue, Stella X. Yu, Michael Lustig
International Conference on Image Processing 2017 paper / code

Predicting Image Quality

On the Empirical Effect of Gaussian Noise in Under-sampled MRI Reconstruction
Patrick Virtue, Michael Lustig
Tomography, in press paper

ESPIRiT

ESPIRiT—an Eigenvalue Approach to Autocalibrating Parallel MRI: Where SENSE Meets GRAPPA
Martin Uecker, Peng Lai, Mark J. Murphy, Patrick Virtue, Michael Elad, John M. Pauly, Shreyas S. Vasanawala, Michael Lustig
Magnetic Resonance in Medicine 2014 paper / code

MRI Cartilage Thickness

Validation of Cartilage Thickness Calculations Using Indentation Analysis
Matthew F. Koff, Le Roy Chong, Patrick Virtue, Dan Chen, Xioanan Wang, Timothy Wright, Hollis G. Potter
Journal of Biomechanical Engineering 2010 paper

MRI Growth Plate Analysis

Correlation of Magnetic Resonance Imaging and Histologic Examination of Physeal Bars in a Rabbit Model
Matthew F. Koff, Le Roy Chong, Patrick Virtue, Liang Ying, Purushottam A. Gholve, Scott A. Rodeo, Roger F. Widmann, Hollis G. Potter
Journal of Pediatric Orthopedics 2010 paper