Cultural Appropriation with Machine Learning

UCLA DMA 2020

This course guides students through state-of-the-art methods for generative content generation in machine learning (ML) with a special focus on developing a critical understanding surrounding its usage in creative practices. We begin by framing our understanding through the critical lens of cultural appropriation. Next, we look at how machine learning methods have enabled artists to create digital media of increasingly uncanny realism aided by larger and larger magnitudes of cultural data, leading to new aesthetic practices but also new concerns and difficult questions of authorship, ownership, and ethical usage.

Audiovisual Interaction w/ Machine Learning

CalArts 2017 – 2018

This course guides students through using openFrameworks, integrating audiovisual interaction and machine learning into their practice, by using real-time processing and interaction as a guiding framework.

Creative Applications of Deep Learning Program

Kadenze Academy, 2017 – 2019

This is a course program in state of the art Deep Learning algorithms, led through a creative application of the algorithms. This unique course gets you up to speed with Tensorflow and interactive computing with Python and extends the introductory course into state of the art methods such as WaveNet, CycleGAN, Seq2Seq and more.

Creative Applications of Deep Learning

Kadenze Academy, 2016 – 2019

This is a 5-session course in state of the art Deep Learning algorithms, led through a creative application of the algorithms. This unique course gets you up to speed with Tensorflow and interactive computing with Python.

Workshops in Creative Coding – “Mobile and Computer Vision”

Lecturer, Department of Computing @ Goldsmiths, University of London. London, U.K. – Spring 2013

This is a 10-week Master’s course covering Mobile and Computer Vision development using the openFrameworks creative coding toolkit at Goldsmiths, Department of Computing. Taught to MSc Computer Science, MSc Cognitive Computing, MSc Games and Entertainment, MA Computational Arts, and MFA Computational Studio Arts students.

“Introduction to openFrameworks”

Lecturer, Department of Computing @ Goldsmiths, University of London. London, U.K. – Fall 2012

This is a 4-week course covering the basics of openFrameworks taught to MA Computational Arts and MFA Computational Studio Arts students.

Workshops in Creative Coding – “Computer Vision”

Lecturer, Department of Computing @ Goldsmiths, University of London. London, U.K. – Spring 2012

This is a 5 week course covering Gesture and Interaction design as well as Computer Vision basics using the openFrameworks creative coding toolkit. Taught to MSc Computer Science, MSc Cognitive Computing, MSc Games and Entertainment, MA Computational Arts, and MFA Computational Studio Arts students.

“Audiovisual Processing for iOS Devices”

Lecturer, Digital Studio, Sackler Centre @ Victoria & Albert Museum. London, U.K. – Spring 2012

10 week course open to anyone covering the basics of iOS development.

Center for Experimental Media Art: Interim Semester

Lecturer, Center for Experimental Media Arts @ Srishti School of Art, Design, and Technology. Bangalore, India – Fall 2011

Taught during the interim semester, the course entitled, “Stories are Flowing Trees”, introduced a group of 9 students to the creative coding platform openFrameworks through practical sessions, critical discourse, and the development of 3 installation artworks that were exhibited in central Bangalore. During the first week, students were taught basic creative coding routines including blob tracking, projection mapping, and building interaction with generative sonic systems. Following the first week, students worked together to develop, fabricate, install, publicize, and exhibit 3 pieces of artwork in central Bangalore at the BAR1 artist-residency space in an exhibition entitled, SURFACE, textures in interactive new media.

Digital Media Studio Project – Various

Supervisor, School of Arts, Culture, and Environment, University of Edinburgh
(2010) Supervisor for 3 MSc Students on Augmented Sculpture
(2009) Supervised 6 MSc Students on Incorporating Computer Vision in Interactive Installation

Various

Engineering and Sciences Research Mentor. Seminar. McNair Scholars, University of Delaware, 2007
Instructor. Web Design. McNair Scholars, University of Delaware, 2007
Teaching Assistant. Introduction to Computer Science. University of Delaware, 2006