Developing deep generative models for tabular and time series synthesis. Architecting a machine learning solution for companies to unlock the power of their data while preserving privacy. Leading the development team and guiding students in related exploratory research.

Developing new StyleGAN-based facial processing techniques for experimental video synthesis

Deep learning for music synthesis and analysis. Human interaction recognition

Technical consulting for an audio-reactive exhibition using StyleGAN

Privacy-preserving tabular data synthesis with distributed generative adversarial networks

An hour-long custom StyleGAN audiovisual tailored to Frequent's music and visual taste. Shown on a massive screen in the amphitheater during the concert

Accepted paper and oral presentation

A framework that is the culmination of years of experimental work with deep learning, whose goal is to enable simple composable usage of state-of-the-art creative algorithms

How can artists start using AI as part of their creative process, and at what part of the process is it most appropriate? Together with Helena Sarin, Dalena Tran, and Ryan Groves.

In my free time I enjoy making music under the moniker Wavefunk

Artificial intelligence technology. Deep learning, computer vision, distributed machine learning systems, multimedia search & recommendation, high performance computing, multivariate data analysis.