71 lines
3.7 KiB
Markdown
71 lines
3.7 KiB
Markdown
I am an assistant professor in the [Department of Computer
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Science](https://www.cs.cornell.edu/) at [Cornell
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University](https://www.cornell.edu).
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**I am always looking for good students!**
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Previously, I was an assistant professor in the [Department of Computer
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Sciences](https://www.cs.wisc.edu/) at the [University of
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Wisconsin--Madison](https://www.wisc.edu), and a postdoc at the [Department of
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Computer Science](https://www.cs.cornell.edu/) at [Cornell
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University](https://www.cornell.edu/), and in the [Programming Principles,
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Logic, and Verification Group](http://pplv.cs.ucl.ac.uk/welcome/) at the
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[University College London](https://www.ucl.ac.uk/). I was a graduate student in
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the [Department of Computer Science](https://cis.upenn.edu) at the [University
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of Pennsylvania](https://www.upenn.edu).
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I am funded by an NSF CAREER award and a Facebook Research award.
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## Research Interests ##
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I design methods to **formally verify** that programs are correct, especially
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programs that use **randomization**. Such programs can be easy to show correct
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on paper, but surprisingly challenging for computers to analyze. Accordingly,
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my research blends ideas from two classical areas of computer science:
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**randomized algorithms** from theoretical computer science (**TCS**) and
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**formal verification**.
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Drawing inspiration from how humans reason about randomized algorithms, we can
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build simpler and more automated verification techniques. In the past, I've
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applied this approach to properties like **accuracy**, **incentive
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compatibility**, Markov chain **mixing**, and various notions of **algorithmic
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stability**.
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A particular focus of my work has been [**differential
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privacy**](https://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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I have investigated a variety of formal methods---such as [**type
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systems**](https://en.wikipedia.org/wiki/Type_system) and [**program
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logics**](https://en.wikipedia.org/wiki/Hoare_logic)---to verify that programs
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are differentially private.
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From a more traditional algorithms perspective, I am also interested in applying
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differential privacy to optimization, machine learning, and mechanism design.
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## Teaching ##
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- **Reasoning about Probabilistic Programs** <br>
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**Invited Course at [OPLSS 2021](https://www.cs.uoregon.edu/research/summerschool/summer21/index.php)**:
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[[slides](https://justinh.su/files/slides/oplss21.pdf)] [[recordings](https://www.cs.uoregon.edu/research/summerschool/summer21/topics.php)]
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- **Security and Privacy in Data Science (CS 763)**: [F20](teaching/f20/cs763/)
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- **Introduction to the Theory and Design of PL (CS 538)**: [S20](teaching/s20/cs538/)
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- **Security and Privacy in Data Science (CS 763)**: [F19](teaching/f19/cs763/)
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- **Introduction to the Theory and Design of PL (CS 538)**: [S19](teaching/s19/cs538/)
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- **Topics in Security and Privacy Technologies (CS 839)**: [F18](teaching/f18/cs839/)
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## Service ##
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- **2022** POPL, PLDI
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- **2021** ESOP, PLMW@POPL, CSF, AAAI, COLT, WoLLIC, MFPS
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- **2020** AAAI, CSF, LAFI, WoLLIC, PLMW@POPL, OOPSLA (ERC)
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- **2019** POPL, PLMW@POPL, POST, CSF, DARS (co-chair)
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- **2018** LICS, WWW
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- **2017** FCS, TPDP, MFPS
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- **2016** PLDI (ERC)
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## Blogging ##
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I've greatly enjoyed blogging for [PL Perspectives](https://blog.sigplan.org/blog/)!
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- [**Verifying Randomized Algorithms: Why and How?**](https://blog.sigplan.org/2020/10/20/verifying-randomized-algorithms-why-and-how/)
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- [**Re-Imagining the “Programming Paradigms” Course**](https://blog.sigplan.org/2021/01/28/re-imagining-the-programming-paradigms-course/)
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- [**Programming Languages Mentoring Workshop: Ten Years Later**](https://blog.sigplan.org/2021/05/11/programming-languages-mentoring-workshop-ten-years-later/)
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