- Phone number
- (626) 905-0523
- e-mail address
- <first initial><last name>@seas.upenn.edu
- <first name>.<last name>@gmail.com
3401 Walnut Street,
I am a Warren Center Postdoctoral Fellow in the Department of Computer and Information Science at UPenn.
I received my PhD in Computer Science from the Computing and Mathematical Science Department at Caltech, where I was advised by Adam Wierman and Katrina Ligett. I was awarded the Bhansali Family Doctoral Prize in Computer Science for my dissertation on data, and its implications for markets and society. Throughout my PhD, I have been supported in part by by the National Science Foundation, the US-Israel Binational Science Foundation, the Linde Graduate Fellowship at Caltech, and the Inaugural PIMCO Graduate Fellowship at Caltech. Prior to that, I received a Master's degree in Operations Research at Columbia University where I worked with Augustin Chaintreau, and an engineering degree from Supelec, a French Grande Ecole.
I visited and interned at Microsoft Research New England in Spring and Summer 2017, where I worked with Yiling Chen, Nicole Immorlica, Brendan Lucier and Vasilis Syrgkanis. I visited Aaron Roth at University of Pennsylvania during Summer 2018. I participated in the Data Privacy semester at the Simons Institute for the Theory of Computing in Spring 2019.
My main interests lie at the intersection of Computer Science and Economics. My primary focus is to study the new economic and algorithmic challenges posed by the generation of larger and larger amounts of data. In particular, I am interested in the following questions:
- How to price, sell, and exchange data? How to design computationally efficient algorithms and mechanisms to choose whom to buy data from, whom to sell data to, and how to aggregate data and use it for computation?
- How to determine the value of data, and how does data affect agent utilities and behavior in games and auctions?
- How to use data to draw useful conclusions from limited observations of behavior in complex settings?
- How to deal with privacy concerns related to personal and sensitive data?
- How to guarantee that data is used in a fair manner?
- Fall 2014: CS/SS152 -- Introduction to Data Privacy
- Access to Population-Level Signaling as a Source of Inequality
- N. Immorlica, K. Ligett and J.Ziani
- FAT* 2019
- Downstream Effects of Affirmative Action
- S. Kannan, A. Roth and J.Ziani
- FAT* 2019
- Third-party Data Providers Ruin Simple Mechanisms
- Y. Cai, F. Echenique, H. Fu, K. Ligett, A. Wierman and J. Ziani
- In submission
- Optimal Data Acquisition for Statistical Estimation
- Y. Chen, N. Immorlica, B. Lucier, V. Syrgkanis and J. Ziani
- EC '18
- Non-Exploitable Protocols for Repeated Cake Cutting
- O. Tamuz, S. Vardi and J. Ziani
- Association for the Advancement of Artificial Intelligence (AAAI), 2018
- Inference on Auctions with Weak Assumptions on Information
- V. Syrgkanis, E. Tamer and J. Ziani
- 2017 manuscript, in revise and resubmit phase
- Efficiently Characterizing Games consistent with Perturbed Equilibrium Observations
- V. Chandrasekaran, K. Ligett and J. Ziani
- Poster at EC'16, in submission
- Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market
- X. Ren, P. London, J. Ziani and A. Wierman
- Poster at SIGMETRICS 2016, IEEE/ACM Transactions on Networking 2018
- Accuracy for Sale: Aggregating Data with a Variance Constraint
- R. Cummings, K. Ligett, A. Roth, Z. S. Wu, and J. Ziani
- Innovations in Theoretical Computer Science (ITCS), 2015
- Cliques in the union of graphs
- R. Aharoni, E. Berger, M. Chudnovsky and J. Ziani
- Journal of Combinatorial Theory, Series B, 2015
- I have unofficially been in charge of coordinating social events in CMS (mostly for RSRG and DOLCIT) at Caltech.
- I recently got into music, own an acoustic and an electric guitar, and have performed at a student-run open mic at Caltech.
- I recently got my first DSLR camera and got into photography at a very beginner level; see some pictures here!