Personal statement

I have always had a deep passion for mathematics and am particularly drawn to formal logic, set theory, and complexity theory. I am currently pursuing a PhD in theoretical computer science at UC San Diego studying complexity theory and its applications to machine learning and cryptography. I am deeply interested in the limits of different computational models as well as the conditions sufficient to prove a complexity class can be learned or contains pseudorandomness. My long term goal is to work at a university or a research lab making significant contributions to the areas of complexity theory and algorithm design.

Research and publications
  • "An intelligent token bucket-based queue management strategy for QoS of named-data networking." 2022. Independent study for MS degree. Committee: Jun Zheng (advisor), Hamdy Soliman, Sihua Shao. Link.
  • Marco Carmosino, R. Ramyaa, Antonina Kolokolova, Manuel Sabin, Eric Binnendyk. Learning with distributional inverters. Presented at the 33rd International Conference on Algorithmic Learning Theory, 2022. Paper.
  • Binnendyk, Eric R. Pseudo-random functions and uniform learnability. Electronic Colloquium on Computational Complexity. October 2021. Link.
  • Binnendyk, Eric R. Pseudo-random functions and uniform learnability. 2021. Senior honors thesis. Committee: R. Ramyaa (advisor), Marco Carmosino, Antonina Kolokova, Subhasish Mazumdar, Jun Zheng. Link.
  • Binnendyk, Eric R. A uniform dichotomy between pseudorandom functions and learnability. 2021. Department Showcase presentation at the NMT Student Research Symposium. Advisor: R. Ramyaa. Slides.
  • Binnendyk, Eric R. A New Method for Finding Roots of Unity by Finding Radical Expressions For Arbitrary Members Of The Cyclotomic Field and Its Extensions. 2020. Poster presentation at the NMT Student Research Symposium. Advisor: Mingji Zhang. Paper, poster.
  • Binnendyk, Eric R. Exploration of Stable Cycles in Dynamical Systems. 2019. Oral/slide presentation at the NMT Student Research Symposium. Advisor: R. Ramyaa. Paper, slides.
Employment
  • Summer intern - Sandia National Labs - Participate in research and development with the TITANS software engineering team to advance national security. (Summer 2022)
  • Research assistant - NMT Human Centered Computing and Security Lab - Conducted research into named-data networking and smart grid security under the guidance of Prof. Jun Zheng as part of the NM EPSCoR program funded by an NSF grant. Researched reinforcement learning as a possible tool for active queue management. Coded network simulations and surveyed previous research in this area. (2020 - 2022)
  • Teaching assistant - NMT Computer Science and Engineering department - Graded assignments, maintained records, and tutored students for the NMT courses Design and Analysis of Algorithms taught by Dr. Subhasish Mazumdar and Formal Languages and Automata taught by Dr. R. Ramyaa. (Fall 2021 - Spring 2022)
  • Tutor - NMT Office for Student Learning - Tutored students on mathematics and computer science and oversaw test corrections. Completed extensive training to be certified by the College Reading & Learning Association. (2019-2020)
  • Grader - NMT Computer Science and Engineering department - Graded assignments and tests for the NMT course Foundations of Computer Science taught by Dr. Ramyaa. Maintained student records on Canvas. (Fall 2019)
  • Webmaster - NMT Department of Academic Affairs - Coordinated the migration of web pages from old templates to a new standard. Edited HTML/CSS and dealt with version control using OmniUpdate. (2018)
Escape Velocity