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Brief Description of my Research Interests
Why I want to attend the summer school:
I am currently a researcher in the area
of Machine Learning. More specifically, I am pursuing a PhD on the
subject of hierarchical analysis of multivariate time series through
generative models. Some of the relevant topics in my thesis are the
development of Bayesian models to explore and visualize dependent
context data in a hierarchical setting, and the study of
generalization through evidence and variational inference methods. In
particular, I am interested in the unsupervised analysis of
multivariate time series.
Research Topics
1. Statistical Methods in Machine Learning
- Variational Methods
- Gaussian Process
- Generative Topographic Mapping
- Hidden Markov Models
2. Analysis of Multivariate Time Series
- Topographic Mapping of Multivariate Time Series
- Time Series Relevance Determination
- Variational Inference
- Hierarchical Analysis
3. Real World
- MRS/MRI analysis
- EEG and other Brain signals
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