Difference between revisions of "User:Spmatteo"
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− | === | + | == Matteo Spallanzani == |
− | + | I received my PhD in applied mathematics in February 2020 from the University of Modena and Reggio Emilia (UniMoRe), Italy. | |
− | + | While at UniMoRe, I have contributed to create the machine learning division of the high-performance real-time (HiPeRT) laboratory led by professor Marko Bertogna. | |
− | + | I have been working on data science and machine learning for a while, starting as a Data Science Intern at Tetra Pak Packaging Solutions | |
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− | == | + | == Interests == |
− | + | I am interested in everything that can help me finding and understanding the patterns hidden in this world. | |
+ | Since I found out that boosting statistical models with parallel computers can be pretty efficient at this, I have made it my job to understand how machine learning systems work, hot to combine them and how to apply them to real-world problems. | ||
+ | My current research interests lie at the intersection of mathematical analysis, stochastic optimisation and parallel programming. | ||
+ | In particular, I am now working on quantized neural networks, applying neural architecture search (NAS) algorithms to improve their topology and approximation proerties, and studying new algorithms to improve their learning process. | ||
− | + | == Contact Information == | |
− | == | + | * '''Office''': ETZ J76.2 |
+ | * '''telephone''': (+41 44 63) 384 70 | ||
+ | * '''e-mail''': [mailto:spmatteo@iis.ee.ethz.ch scheremo@iis.ee.ethz.ch] | ||
+ | * '''www''': [https://ee.ethz.ch/the-department/people-a-z/person-detail.MjUxODcz.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html Matteo Spallanzani (ETH page)] | ||
− | === | + | == Available Projects == |
− | = | + | <DynamicPageList> |
− | + | supresserrors = true | |
− | + | category = Available | |
− | + | category = spmatteo | |
− | + | </DynamicPageList> | |
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− | + | [[Category:Supervisors]] [[Category: Deep Learning Acceleration]] [[Category: Software]] | |
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Revision as of 19:41, 9 November 2020
Matteo Spallanzani
I received my PhD in applied mathematics in February 2020 from the University of Modena and Reggio Emilia (UniMoRe), Italy. While at UniMoRe, I have contributed to create the machine learning division of the high-performance real-time (HiPeRT) laboratory led by professor Marko Bertogna. I have been working on data science and machine learning for a while, starting as a Data Science Intern at Tetra Pak Packaging Solutions
Interests
I am interested in everything that can help me finding and understanding the patterns hidden in this world. Since I found out that boosting statistical models with parallel computers can be pretty efficient at this, I have made it my job to understand how machine learning systems work, hot to combine them and how to apply them to real-world problems. My current research interests lie at the intersection of mathematical analysis, stochastic optimisation and parallel programming. In particular, I am now working on quantized neural networks, applying neural architecture search (NAS) algorithms to improve their topology and approximation proerties, and studying new algorithms to improve their learning process.
Contact Information
- Office: ETZ J76.2
- telephone: (+41 44 63) 384 70
- e-mail: scheremo@iis.ee.ethz.ch
- www: Matteo Spallanzani (ETH page)
Available Projects
No pages meet these criteria.