Dmitry P. Vetrov, PhD
I am head of Bayesian Methods research group. I graduated from Moscow State University (MSU) in 2003 and obtained PhD degree in the department of Computational Mathematics and Cybernetics of MSU in 2006. Currently I am an associate professor in Higher School of Economics. I also read lectures in Yandex School of Data Analysis and in Moscow State University.
I believe that we’re moving towards The New Mathematics or the mathematics of big data age where compeletely new learning, inference, optimization and storage technologies will appear. The first steps (deep learning, tensor decomposition, stochastic optimization) has been made already but many more to be made in recent years. The creation of those new technologies is our mission.
My hobby is world history, geopolitics, and world war II. You may find some of my public lectures on various historical events on youtube (in Russian).
One of the things I love in my job is having PhD students who are smarter than me
My research interests include (but not limited to):
- Machine learning
- Deep Neural Networks
- Probabilistic graphical models
- Computer vision
- Text Processing
- Error-correcting codes
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