Di Wang

Registered user since Fri 20 Apr 2018

Name:Di Wang
Bio:

I am a doctoral student in computer science at Carnegie Mellon University. I am advised by Prof. Jan Hoffmann. I am broadly interested in programming languages and software engineering, especially probabilistic programming, type systems, static resource analysis, and program synthesis. Currently, I am working on language-level integrations for Bayesian inference and probabilistic programming systems.

I completed my undergraduate at Peking University, China where I worked with Prof. Yingfei Xiong on summarization techniques to analyze programs sharing big libraries.

Country:United States
Affiliation:Carnegie Mellon University
Research interests:Probabilistic programming, Type systems, Static resource analysis, Program synthesis

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POPL 2023 Probabilistic Resource-Aware Session Types
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