Di Wang

Di Wang

Assistant Professor

Peking University


I am an Assistant Professor at Peking University’s School of Computer Science, a member of the Programming Languages Lab, and a research advisor of the Turing Program.

My main interest is in programming languages in general, and formal verification, program analysis, and probabilistic programming in particular. My mission is to develop universal and easy-to-use abstractions and paradigms for programming safe and efficient software, and programming-language-level integrations to automatically analyze, optimize, and synthesize programs. Currently, I am working on resource-safe system programming, programmable Bayesian inference, quantitative program analysis, and proof-oriented programming languages.

Before joining Peking University, I received my Ph.D. from Carnegie Mellon University under the supervision of Prof. Jan Hoffmann.

Here is my Curriculum Vitae.


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Recent Publications

(2024). Decomposition-Based Synthesis for Applying Divide-and-Conquer-Like Algorithmic Paradigms. In TOPLAS.


(2023). Probabilistic Resource-Aware Session Types. In POPL.

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(2020). Liquid Resource Types. In ICFP.

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(2019). Resource-Guided Program Synthesis. In PLDI.

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  • wangdi95@pku.edu.cn
  • Yanyuan Mansion 520, 151 Zhongguancun N Ave, Haidian District, Beijing 100084