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Matthew is a PhD student studying computer science at Northeastern University’s College of Computer and Information Science, advised by Professors Cristina Nita-Rotaru and Alina Oprea. The Portland, Oregon native is a graduate of the University of Oregon, where he received his Bachelor of Science. Matthew’s research area is in adversarial machine learning and applying machine learning to security problems. He is a member of the Network and Distributed Systems Security group. Matthew’s research interests involves security and privacy, among others.
What are the specifics of your graduate education (thus far)?
I am doing my PhD at CCIS, under the supervision of Professors Cristina Nita-Rotaru and Alina Oprea.
What are your research interests?
My research interests lie in the intersection of security and machine learning. It’s very important to understand where machine learning models can fail, especially in security or privacy critical scenarios.
What’s one problem you’d like to solve with your research/work?
I’m currently studying questions related to adversarial machine learning.
What aspect of what you do is most interesting?
The fact that it’s possible to learn without even trusting your entire training set fascinates me.
What are your research or career goals, going forward?
I’d like to be part of the effort to make real world machine learning robust and provide more nuanced guarantees than simply low test error.