Information and Computer Sciences
University of Massachusetts
I am currently in the job market, looking for a position in industry or academia (mainly postdocs). Please feel free to email me if you think I'd be a good fit for your group.
I am a Ph.D. student in the Cryptoeconomics Lab
at UMass Amherst, where I work with Prof. Brian Levine
, and am 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
is the new freshman seminar I'm teaching this semester.
Our new paper on Graphene was accepted to SIGCOMM 2019! You can take a look here
Check out the
freshman seminar I'm teaching this semester here
Check out the
discussion about our new block propagation protocol, Graphene
. Bitcoin Unlimited even
mentioned that they might implement it here
You can find
our tutorial explaining the derivation of Nakamato's double-spend attack
to New Mexico to attend the Complex Systems Summer School
in the Santa Fe Institute
the qualifying exam and now am a Ph.D. Candidate!
to intern at a defense company, Systems and Technology Research, as part
Analysis and Decision Systems
Borg Memorial Scholarship
. Thank you very much Google!
- Co-affiliate, Autonomous Learning Lab,
UMass Amherst, 2019 - present.
- Research Assistant, Cryptoeconomics Lab,
UMass Amherst, 2013 - present.
- Research Assistant, BINDS Lab, UMass Amherst, 04/2013
- Research Assistant, DEMO Lab, Brandeis
University, 2011 - 2012.
Last modified: 07/05/2020