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| − | === | + | == Matteo Spallanzani == |
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| − | + | I received my PhD in applied mathematics in February 2020 from the University of Modena and Reggio Emilia (UniMoRe), Italy, with a thesis on "A framework for the analysis of machine learning systems". | |
| − | + | I have been working on data science and machine learning for five years, both in academia and industry (Tetra Pak, Maserati, Advertima). | |
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| − | === | + | == Interests == |
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| − | + | I am interested in everything that can help me finding and understanding the patterns hidden in our world. | |
| + | Since I found out that boosting statistical models with parallel computers can be pretty efficient at this task, I have made it my job to understand how machine learning systems work and how to apply them to real-world problems. | ||
| + | My research interests lie at the intersection of mathematical analysis, stochastic optimisation, algorithms, and parallel programming. | ||
| − | + | At IIS, I am working on quantised neural networks (QNNs): applying data science techniques to know how good networks look like, developing new algorithms to improve their learning process, and crafting tools to deploy them on resource-constrained computing platforms. | |
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| − | + | == Contact Information == | |
| − | + | * '''Office''': ETZ J76.2 | |
| − | + | * '''telephone''': (+41 44 63) 384 70 | |
| − | + | * '''e-mail''': [mailto:spmatteo@iis.ee.ethz.ch spmatteo@iis.ee.ethz.ch] | |
| − | + | * '''www''': [https://ee.ethz.ch/the-department/people-a-z/person-detail.MjUxODcz.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html Matteo Spallanzani (ETH page)] | |
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| − | + | == Available Projects == | |
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| + | category = Available | ||
| + | category = spmatteo | ||
| + | </DynamicPageList> | ||
| − | + | [[Category:Supervisors]] | |
| − | + | [[Category:Algorithmic]] | |
| − | + | [[Category:Software]] | |
| − | + | [[Category:Deep Learning Acceleration]] | |
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Latest revision as of 20:56, 24 September 2021
Matteo Spallanzani
I received my PhD in applied mathematics in February 2020 from the University of Modena and Reggio Emilia (UniMoRe), Italy, with a thesis on "A framework for the analysis of machine learning systems". I have been working on data science and machine learning for five years, both in academia and industry (Tetra Pak, Maserati, Advertima).
Interests
I am interested in everything that can help me finding and understanding the patterns hidden in our world. Since I found out that boosting statistical models with parallel computers can be pretty efficient at this task, I have made it my job to understand how machine learning systems work and how to apply them to real-world problems. My research interests lie at the intersection of mathematical analysis, stochastic optimisation, algorithms, and parallel programming.
At IIS, I am working on quantised neural networks (QNNs): applying data science techniques to know how good networks look like, developing new algorithms to improve their learning process, and crafting tools to deploy them on resource-constrained computing platforms.
Contact Information
- Office: ETZ J76.2
- telephone: (+41 44 63) 384 70
- e-mail: spmatteo@iis.ee.ethz.ch
- www: Matteo Spallanzani (ETH page)
Available Projects
No pages meet these criteria.
