Jesus Arroyo: Difference between revisions
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I am a third year Ph.D. student in Statistics. I did my undergrad degree in Applied Math and Computer Engineering at ITAM in Mexico City. For my undergrad thesis I worked in cryptography using negative databases, where the goal was to hide the information in order to make retrieval computationally infeasible for an adversary. Now, in my Ph.D., I work in high dimensional and network data analysis, looking to retrieve information by representing the data with structures that are often computationally infeasible to fit, and we look for efficient algorithms to approximate them. | I am a third year Ph.D. student in Statistics. I did my undergrad degree in Applied Math and Computer Engineering at ITAM in Mexico City. For my undergrad thesis I worked in cryptography using negative databases, where the goal was to hide the information in order to make retrieval computationally infeasible for an adversary. Now, in my Ph.D., I work in high dimensional and network data analysis, looking to retrieve information by representing the data with structures that are often computationally infeasible to fit, and we look for efficient algorithms to approximate them. | ||
The focus of my research is statistical analysis of network data. In particular, I am working in community detection and multiple network analysis, with applications to the study of brain connectomics. | The focus of my research is statistical analysis of network data. In particular, I am working in community detection and multiple network analysis, with applications to the study of brain connectomics. | ||
In my free time, I enjoy music, traveling and playing guitar. | In my free time, I enjoy music, traveling and playing guitar. | ||
Latest revision as of 21:22, 21 March 2016
| Complex Systems Summer School 2016 |
Jesus Arroyo, University of Michigan - Ann Arbor MI USA
I am a third year Ph.D. student in Statistics. I did my undergrad degree in Applied Math and Computer Engineering at ITAM in Mexico City. For my undergrad thesis I worked in cryptography using negative databases, where the goal was to hide the information in order to make retrieval computationally infeasible for an adversary. Now, in my Ph.D., I work in high dimensional and network data analysis, looking to retrieve information by representing the data with structures that are often computationally infeasible to fit, and we look for efficient algorithms to approximate them.
The focus of my research is statistical analysis of network data. In particular, I am working in community detection and multiple network analysis, with applications to the study of brain connectomics.
In my free time, I enjoy music, traveling and playing guitar.