Martin Wainwright is a Chancellor's Professor with a joint appointment between the Department of Statistics and the Department of Electrical Engineering and Computer Science at the University of California at Berkeley [1]. His interests are high-dimensional statistics, information theory and statistics, and statistical machine learning.
Martin Wainwright received his Bachelor's degree in Mathematics from University of Waterloo, in Canada, and later his Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. In the fall of 2004, Martin Wainwright joined the faculty at the University of California at Berkeley.
Martin Wainwrights received, is the George M. Sprowls Prize, from the MIT EECS department in 2002, which is awarded to very few doctoral theses in computer science. In 2005, Martin Wainwright was awarded the Alfred P. Sloan Foundation Fellowship. He was given the Best Paper Awards from the IEEE Signal Processing Society in 2008 on his paper "Image Denoising Using Scale Mixtures of Gaussians in the Wavelet Domain" along with Javier Portilla, and Vasily Strela. Martin Wainwright has also received the Best Paper Awards from IEEE Communications Society in 2010 and the Joint Paper Prize in 2012 for his work "Network Coding for Distributed Storage Systems" [2]. In 2013, Martin Wainwright received a Medallion Lectureship from the Institute of Mathematical Statistics, a Section Lecturer at the International Congress of Mathematicians. One of his most recent awards was the COPSS prize in 2014 which is believed to be the Nobel Prize in Statistics, it was given to Martin Wainwright for his contributions to high-dimensional statistics [3].
- ^ "Martin Wainwright'sBiography". people.eecs.berkeley.edu. Retrieved 2020-02-14.
- ^ A. G. Dimakis et al., “Network Coding for Distributed Storage Systems,” IEEE Transactions on Information Theory,Sept. 2010.
-
^ ieeexplore.ieee.org
https://ieeexplore.ieee.org/author/37267615600. Retrieved 2020-02-14.
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Martin Wainwright is a Chancellor's Professor with a joint appointment between the Department of Statistics and the Department of Electrical Engineering and Computer Science at the University of California at Berkeley [1]. His interests are high-dimensional statistics, information theory and statistics, and statistical machine learning.
Martin Wainwright received his Bachelor's degree in Mathematics from University of Waterloo, in Canada, and later his Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. In the fall of 2004, Martin Wainwright joined the faculty at the University of California at Berkeley.
Martin Wainwrights received, is the George M. Sprowls Prize, from the MIT EECS department in 2002, which is awarded to very few doctoral theses in computer science. In 2005, Martin Wainwright was awarded the Alfred P. Sloan Foundation Fellowship. He was given the Best Paper Awards from the IEEE Signal Processing Society in 2008 on his paper "Image Denoising Using Scale Mixtures of Gaussians in the Wavelet Domain" along with Javier Portilla, and Vasily Strela. Martin Wainwright has also received the Best Paper Awards from IEEE Communications Society in 2010 and the Joint Paper Prize in 2012 for his work "Network Coding for Distributed Storage Systems" [2]. In 2013, Martin Wainwright received a Medallion Lectureship from the Institute of Mathematical Statistics, a Section Lecturer at the International Congress of Mathematicians. One of his most recent awards was the COPSS prize in 2014 which is believed to be the Nobel Prize in Statistics, it was given to Martin Wainwright for his contributions to high-dimensional statistics [3].
- ^ "Martin Wainwright'sBiography". people.eecs.berkeley.edu. Retrieved 2020-02-14.
- ^ A. G. Dimakis et al., “Network Coding for Distributed Storage Systems,” IEEE Transactions on Information Theory,Sept. 2010.
-
^ ieeexplore.ieee.org
https://ieeexplore.ieee.org/author/37267615600. Retrieved 2020-02-14.
{{ cite web}}: Missing or empty|title=( help)