Anna Megdell Umich-LSA interviewed Uriah recently for this article about his research methods: discovering Complex Systems: and how his dissertation work is being used in an inverse application to help figure out how to safely operate universities amid the Coronavirus pandemic.
For his doctorate in applied physics and a graduate certificate from the Center for the Study of Complex Systems, Israel used big data techniques to analyze enrollment data to develop different ways to measure a student’s educational experience. “We looked at every course that every student took for the past 15 years. It’s a lot of data,” Israel says. “We viewed the data as one large network, or graph, and studied it all using network analysis.”
Given the relevancy of this work, it’s surprising that, before graduate school, Israel didn’t know anything about machine learning. “I thought I would just be strictly physics. But then I learned about complex systems and was like, wait, the computer does what?! I thought it was so cool.”
Immediately after graduation, Uriah started a postdoctoral fellowship at Caltech in the Departments of Biology and Bioengineering and Computational and Mathematical Sciences, researching how to apply the methods of machine learning to better understand biology.
Read the full article on the LSA website. Read also "Busy Recent Graduate Uriah Israel"
| Release Date: | 10/02/2020 |
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| Tags: | Complex Systems |
