Pinar Ozisik

Ph.D. Candidate
College of Information and Computer Sciences
University of Massachusetts Amherst


I am a Ph.D. student in the Cryptoeconomics Lab at UMass Amherst, where I work with Prof. Brian Levine, and co-affiliated with the Autonomous Learning Lab. I am in the intersection of a few different areas: networking, security and reinforcement learning. I work on quantifying and improving the performance of blockchain systems, and study whether reinforcement learning is subject to data corruption attacks, i.e., when data is noisy or has been adversarially altered. Here is a copy of my CV.


Sep. 2019 Here is the new freshman seminar I'm teaching this year.
Jun. 2019 Our new paper on Graphene was accepted to SIGCOMM 2019! You can take a look here.
Sep. 2018 Check out the freshman seminar I'm teaching this semester here.
Nov. 2017 Check out the discussion about our new block propagation protocol, Graphene. Bitcoin Unlimited even mentioned that they might implement it here!
Jan. 2017 You can find our tutorial explaining the derivation of Nakamato's double-spend attack here.
Jun. 2016 I'm off to New Mexico to attend the Complex Systems Summer School in the Santa Fe Institute!
May 2016 I passed the qualifying exam and now am a Ph.D. Candidate!
May 2015 I'm going to intern at a defense company, Systems and Technology Research, as part of the Analysis and Decision Systems team.
Apr. 2013 I received the Anita Borg Memorial Scholarship. Thank you very much Google!


Academic Experience

Industry Experience

Last modified: 07/05/2019