Matthew Dippel
Education
- BS in Mathematics and Computer Science, Rensselaer Polytechnic Institute
About Me
- Hometown: Bedford, New Hampshire
- Field of Study: Computer Science
- PhD Advisor: Ravi Sundaram
Biography
Matthew Dippel is a third year PhD student in the Computer Science program at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Ravi Sundaram. In 2013, he received a dual bachelor’s degree in mathematics and computer science from Rensselaer Polytechnic Institute.
His research interests generally involve algorithms and theory. Specifically, he works on computational geometry and randomized algorithms. Through his work at Akamai, he also works on distributed systems, both from a theoretical and an implementation perspective.
What aspect of what you do is most interesting?
I find the process of expressing work in a final published paper to be intriguing and important. As theoreticians, our work consists of deriving and interpreting mathematical truths, but for the results to have any value they must be properly conveyed. I spend a lot of my time thinking about the best way to explain a result that I have already proven.
Education
- BS in Mathematics and Computer Science, Rensselaer Polytechnic Institute
About Me
- Hometown: Bedford, New Hampshire
- Field of Study: Computer Science
- PhD Advisor: Ravi Sundaram
Biography
Matthew Dippel is a third year PhD student in the Computer Science program at Northeastern University’s Khoury College of Computer Sciences, advised by Professor Ravi Sundaram. In 2013, he received a dual bachelor’s degree in mathematics and computer science from Rensselaer Polytechnic Institute.
His research interests generally involve algorithms and theory. Specifically, he works on computational geometry and randomized algorithms. Through his work at Akamai, he also works on distributed systems, both from a theoretical and an implementation perspective.
What aspect of what you do is most interesting?
I find the process of expressing work in a final published paper to be intriguing and important. As theoreticians, our work consists of deriving and interpreting mathematical truths, but for the results to have any value they must be properly conveyed. I spend a lot of my time thinking about the best way to explain a result that I have already proven.