Memo Akten
Assistant Professor at UC San Diego
San Diego, California, United States
Summary
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SeniorMemo Akten is an Assistant Professor at UC San Diego, PhD-trained creative technologist and multi-disciplinary artist who blends deep learning, big data, and immersive media to investigate human-machine entanglements and planetary systems. With 15+ years of practice as an independent artist and cofounder of Superradiance Lab, he creates speculative simulations and data-driven installations exhibited at venues from the Venice Biennale to SIGGRAPH and NeurIPS. He bridges rigorous research and hands-on engineering—contributing to openFrameworks core graphics, and to influential TensorFlow projects (DCGAN, write-rnn) that improved model deployment and usability. His work is notable for combining code, sound, movement and ritual to probe consciousness and ecology, and has earned awards such as the Prix Ars Electronica Golden Nica. Based in San Diego, he collaborates across art, science and industry, bringing an unusual mix of poetic sensibility and production-grade ML/graphics engineering to research-based art.
15 years of coding experience
Stackoverflow
3,654reputation
342kreached
12answers
52questions
Github Skills (22)
c-language10
python10
machine-learning10
generative-adversarial-network10
graphic10
openframeworks10
tensorflow10
cprogramming-language10
opengl10
dcgan9
continuous-deployment9
ml-deployment9
tensorboard8
n7
rnn-model7
Programming languages (13)
Github contributions (5)
openframeworks/openFrameworks
Jan 2011 - Nov 2014
openFrameworks is a community-developed cross platform toolkit for creative coding in C++.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:141 commits, 16 comments, 2 issues in 3 years 11 months
Contributions summary:Memo made several contributions to the openFrameworks project, primarily focusing on extending the graphics capabilities. The commits include adding stencil buffers to the ofFbo class, improving the FBO example, and introducing the initial version of ofCamera. Furthermore, the user integrated the vectormath library into the core and tested the GLEW library.
cppopenframeworksosxwindowslinux
hardmaru/write-rnn-tensorflow
Feb 2017 - Feb 2017
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
Role in this project:ML Engineer
ML EngineerContributions:8 commits, 2 PRs in 1 day
Contributions summary:Memo primarily contributed to the project by updating the code to work with TensorFlow r1, adding support for TensorBoard, and organizing the graph for easier access via named operations. They also implemented functionality to freeze the graph for deployment and created a demonstration of sampling from the frozen graph. Their work focused on improving the model's usability and deployment readiness.
lstmtensorflow
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