80 lines
4.6 KiB
Markdown
80 lines
4.6 KiB
Markdown
I am an associate 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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**This year, I am away on sabbatical at Imperial College London. I will be back to Cornell in August 2025.**
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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 obtained my PhD from the
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[Department of Computer Science](https://cis.upenn.edu) at the [University of
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Pennsylvania](https://www.upenn.edu).
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I am funded by the National Science Foundation, the Office of Naval Research,
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and Facebook Research.
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## Research Interests ##
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I design methods to **formally verify** that **algorithms** are correct. I am
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especially interested in programs satisfying quantitative guarantees, or other
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properties from mathematical or scientific applications.
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A particular focus of my work has been verifying programs that use
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**randomization**. Such programs can be easy to show correct on paper, but
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surprisingly challenging for computers to analyze. Drawing inspiration from how
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humans reason about randomized algorithms, we can build simpler and more
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automated verification techniques. In the past, I've applied this approach to
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properties like **statistical accuracy**, **incentive compatibility**, Markov
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chain **mixing**, **algorithmic stability**, and **differential privacy**.
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More broadly, I am interested in verification for all kinds of programs with
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rich mathematical structure and properties, such as continuous-time systems,
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programs with symmetries, economic mechanisms, runtime monitors for hierarchical
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policies, and algorithms from numerical analysis and applied mathematics.
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## Teaching ##
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- **Data Structures and Functional Programming (CS 3110)**: [F23](https://www.cs.cornell.edu/courses/cs3110/2023fa/) [S23](https://www.cs.cornell.edu/courses/cs3110/2023sp/) [S22](https://www.cs.cornell.edu/courses/cs3110/2022sp/)
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- **Category Theory for Computer Scientists (CS 6117)**: [F22](teaching/f22/cs6117)
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- **Foundations of Probabilistic Programming (CS 6182)**: [F21](teaching/f21/cs6182)
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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://justinhsu.net/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/) [F19](teaching/f19/cs763/)
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- **Introduction to the Theory and Design of PL (CS 538)**: [S20](teaching/s20/cs538/) [S19](teaching/s19/cs538/)
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- **Topics in Security and Privacy Technologies (CS 839)**: [F18](teaching/f18/cs839/)
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## Awards and Honors ##
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- **2024** EATCS [Presburger Award](https://www.eatcs.org/index.php/presburger)
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- **2024** Royal Society [Wolfson Visiting Fellowship](https://royalsociety.org/grants/royal-society-wolfson-visiting-fellowship/)
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- **2022** CAV Distinguished Paper Award
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- **2021** POPL Distinguished Paper Award
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- **2020** POPL Distinguished Paper Award
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- **2020** NSF CAREER award
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- **2018** ACM SIGPLAN [John C. Reynolds Doctoral Dissertation Award](https://www.sigplan.org/Awards/Dissertation/)
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- **2015** Simons Award for Graduate Students in Theoretical Computer Science
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## Service ##
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- **2024** OOPSLA, CSF, CCS, MFPS
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- **2023** CSF, ICALP-B, LICS, OOPSLA, MFPS
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- **2022** POPL, PLDI, MFPS (co-chair)
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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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- [**Teaching Category Theory to Computer Scientists**](https://blog.sigplan.org/2023/04/04/teaching-category-theory-to-computer-scientists/)
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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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- [**Re-Imagining the “Programming Paradigms” Course**](https://blog.sigplan.org/2021/01/28/re-imagining-the-programming-paradigms-course/)
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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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