Nhat Ho

Nhat Ho

Hi!!! I am a Phd student from Department of Statistics, University of Michigan, Ann Arbor. I am fortunate to be advised by Professor Long Nguyen and Professor Ya'acov Ritov. Prior to coming to Michigan, I finished my Bachelor's degree in Mathematics and Computer Science at Ho Chi Minh University of Science, Vietnam. My undergraduate majors are Partial Differential Equations (PDE) and Numerical Analysis.

At this moment, I am interesed in clustering problems, especially their theoretical properties. Two major clustering approaches that I am currently working are mixture models and K-means. I also embark on studying the contraction of the order of mixture models, which has attract a considerable amount of attention.

Additionally, I am working with Mikhail Yurochkin to develop interesting models from Bayesian nonparametrics' viewpoint. The target applications are to cluster functional data or to predict new links in Twitter network.

Moreover, I start collaborating with Aritra Guha to work on challenging problems regarding mixtures of exchangeable random variables as well as Dirichlet Process mixture models when the kernel density includes both mean and covariance parameter. The main goal is develop good and efficient algorithms as well as rigorous theories for such practical models. Finally, I also embark on working with Can Le to work on the convergence rates of EM algorithm for Gaussian mixture models when both the mean and covariance are of interest. I feel very motivated and lucky to have them as my good friends and collaborators.

For a recent version of my CV, please email me.


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In case that you are interested in my research or want to chat with me about academic (non-academic) stuffs, you can reach me through email minhnhat@umich.edu .
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