Douglas Eck

About Douglas Eck

I\'m a Senior Research Director at Google DeepMind. I recently pivoted from co-leading the GenMedia team (Veo, NanoBanana, Lyria) to focus on extending these models to work for creative professionals in industries like film and music. Previous to this role, I was active in a wide range of research areas including Fundamental Learning Algorithms, Natural Language Processing, Multimodal Learning, Reinforcement Learning, Computer Vision and Generative Models. My research lies at the intersection of machine learning and human-computer interaction (HCI). In 2015 I created Magenta, an ongoing research project exploring the role of machine learning in the process of creating art and music. I\'ve also long worked on the human side of AI through fundamental research, building tools, creating design frameworks, and working with diverse communities. Ancient history: I\'ve worked on music perception, aspects of music performance, machine learning for large audio datasets and music recommendation. I completed my PhD in Computer Science and Cognitive Science at Indiana University in and went on to a postdoctoral fellowship with Juergen Schmidhuber at IDSIA in Lugano Switzerland. Doug then joined the faculty of Computer Science at the University of Montreal\'s machine learning group LISA (now the MILA machine learning center). For more information see http://g.co/research/douglaseck.

Experience

1. Senior Research Director

   Google DeepMind

   Jun 2023 — Present · San Francisco, CA, US

   I am a Senior Research Director at Google DeepMind, I co-lead our research efforts in Generative Media, including image, video, 3D, music and audio generation. My own research lies at the intersection of machine learning and human-computer interaction (HCI). In 2015, I created Magenta, an ongoing research project exploring the role of AI in art and music creation. Before joining Google in 2010, I carried out research in music perception, aspects of music performance, machine learning for large audio datasets and music recommendation. I completed my PhD in Computer Science and Cognitive Science at Indiana University in and went on to a postdoctoral fellowship with Juergen Schmidhuber at IDSIA in Lugano Switzerland. From 20••••10, I was faculty in Computer Science in the University of Montreal machine learning group (now MILA machine learning lab), where he became Associate Professor. For more information see http://g.co/research/douglaseck.

Education

• Indiana University Bloomington

  Doctor of Philosophy - PhD, Computer Science

• IDSIA

  Postdoctoral Fellow, Machine Learning

Skills

• C++
• Artificial Intelligence
• Recommender Systems
• Machine Learning
• Data Mining
• Python
• Latex
• Music
• Computer Vision
• Natural Language Processing
• Matlab
• Programming
• Information Retrieval
• Signal Processing
• Pattern Recognition
• Algorithms
• Cognitive Science
• Applied Mathematics
• Computer Science