Tighten up bio.
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I am a graduate student in the [Department of Computer
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I am a final-year graduate student in the [Department of Computer
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Science](http://cis.upenn.edu) at the [University of
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Pennsylvania](http://www.upenn.edu). There, I am associated with the [Theory
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Pennsylvania](http://www.upenn.edu), where I am associated with the [Theory
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Group](http://theory.cis.upenn.edu), the [PL
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Club](http://www.cis.upenn.edu/~plclub/), and the [Privacy
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Group](http://privacy.cis.upenn.edu). I am very fortunate to be co-advised by
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[Benjamin Pierce](http://cis.upenn.edu/~bcpierce) and [Aaron
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Roth](http://cis.upenn.edu/~aaroth).
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I am supported by the Simons Graduate Fellowship in Theoretical Computer
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Science. Previously, I was awarded an Honorable Mention for the NSF Graduate
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Research Fellowship Program.
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Roth](http://cis.upenn.edu/~aaroth). I am partially supported by a Simons
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Graduate Fellowship in Theoretical Computer Science.
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## Research Interests ##
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I spend my time thinking about questions in **verification**, **programming
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languages**, and **algorithms**. My work has mostly centered on [**differential
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My research spans two classical areas of computer science: **algorithms** from
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theoretical computer science (commonly known as **TCS**) and **formal
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verification**. My work has mostly centered on [**differential
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privacy**](http://en.wikipedia.org/wiki/Differential_privacy), a rigorous
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definition of privacy that is currently under extensive study.
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From the verification side, I am interested in using formal methods---such as
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[**type systems**](http://en.wikipedia.org/wiki/Type_system) and [**program
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logics**](http://en.wikipedia.org/wiki/Hoare_logic)---to verify that programs are
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differentially private. From the algorithms side, I am interested in
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applications of differential privacy to optimization, machine learning, and
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mechanism design.
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From the verification side, I investigate formal methods---such as [**type
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systems**](http://en.wikipedia.org/wiki/Type_system) and [**program
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logics**](http://en.wikipedia.org/wiki/Hoare_logic)---to verify that programs
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are differentially private. More generally, I consider formal verification for
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properties of randomized algorithms, including **incentive compatibility**,
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Markov chain **mixing**, and various notions of **algorithmic stability**. From
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the algorithms side, I apply differential privacy to optimization, machine
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learning, and mechanism design.
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## Service ##
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- **TPDP 2017** PC
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