Bio

My name is Dongsheng Yang (杨东升). I am a second year Ph.D. student at Princeton University advised by Prof. Kai Li and Prof. Wyatt Lloyd. I recieved M.Sc. in Computer Science degree from Carnegie Mellon University in 2019, where I assisted in building the automatic DBMS tuning system OtterTune advised by Prof. Andy Pavlo. Before that, I got my B.Sc. in Computer Science degree (with SUMMA CUM LAUDE) from Peking University in 2018, where I worked with Prof. Tong Yang and led two projects on succinct data structures for data stream processing.

Reseach Interests

I am broadly interested in innovating algorithms for data-intensive applications and systems. I am currently working on machine learning based caching algorithms for caching.

Publications

Please refer to my Google Scholar.

CV

(till 2020) Please refer to here.

Teaching

TA for Princeton COS 516/ECE 516: Automated Reasoning about Software, Fall 2021 TA for Princeton COS 418: Distributed Systems, Spring 2022