One of the most difficult tasks in the modern computing age is performing efficient network analysis and optimization. I spoke with Arjun Ramani, an 18 year old mathematician who is working on that problem, to better understand his new method for dealing with it. He’s building a better mousetrap, if you will, for identifying important anomalies within any network. Arjun has been funding his research, partially, through awards for his work. I learned about him after reading the results of the 2017 Regeneron Science Talent Search, where he was awarded $150,000 to put towards his research. After chatting for a few minutes about…
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