I am a Ph.D. student in USC's Department of Computer Science as of Fall of 2015. I am fortunate to be advised by Aleksandra Korolova in the CS Theory Group.

My research currently explores differential privacy as well as its connections to machine learning, economics, and algorithmic game theory. In general, I'm interested in ideal strategic behavior, actual behavior, and the gap between the two.

Prior to USC, I completed my undergraduate studies at
Virginia Tech in 2015,
where I earned my B.S. in Computer Science, B.S. in Mathematics, B.A. in Economics, and B.S. in Statistics.

At VT, I was an undergrad research assistant under
T. M. Murali,
where I explored hypergraph algorithms and their applications to biological networks.
Here, I was the primary designer and implementer of
*halp*,
the *h*ypergraph *al*gorithms *p*ackage.

### Publications

Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits

*26th USENIX Security Symposium*. 2017.
[arxiv]

Anna Ritz, Brendan Avent, T. M. Murali

*ACM/IEEE Transactions on Computational Biology and Bioinformatics*. 2015.
[link]

### Presentations

Brendan Avent, Anna Ritz, T. M. Murali

*VTURCS Research Symposium*. Poster. 2015
[pdf]

Brendan Avent, Nicholas Sharp, Dhruv Batra

*SIAM Annual Meeting*. Undergrad Presentation. 2014

### Teaching

In the Spring of 2016, I TA-ed USC's
CS 599: *Privacy in the World of Big Data* with
Aleksandra Korolova.

In the Spring of 2015, I TA-ed VT's
Stat 4106: *Theoretical Statistics II* with
Bill Woodall
and also CS/Stat 4654: *Intermediate Data Analytics & Machine Learning* with Byron Smith.

In the Spring of 2014, I TA-ed VT's
CS 4104: *Data and Algorithm Analysis* with
T. M. Murali.

In the Fall of 2013, I TA-ed VT's
CS 4104: *Data and Algorithm Analysis* with
Lenwood Heath.