Current research interests: Variational autoencoders, generative models, and mixture models for timeseries datasets.

• (Variational) autoencoders
• Variational inference
• Generative models
• Monte Carlo sampling methods
• General linear models
• Generalized linear models
• Gaussian mixture models
• Evolutionary algorithms
• Incorporating user preferences in AI
• Time series model prediction
• Gradient-free optimization techniques
• Illumination of search-spaces