Email: bohan [AT] ottertune [DOT] com
I am a software engineer at a stealth startup, founded by Prof.Andy Pavlo. I am interested in startups and research. Before joining Andy’s startup, I did a summer internship at Databricks working on Graphframes, and then worked on machine learning and the streaming platform at another startup Striim. I received the Master of Computational Data Science (MCDS) degree from Carnegie Mellon University in 2018, and received the B.S degree in Computer Science from Peking University with honors in 2017.
My research interests include the intersection of machine learning and databases, big data management, as well as parallel graph processing and mining. During the summer of 2016, I worked with Prof. Andy Pavlo and Dr. Dana Van Aken on an Automatic DBMS Tuning System Ottertune at Carnegie Mellon University, and continued to work on that during my master study at CMU. Before that, I worked with Prof.Wenfei Fan on a new Parallel Graph Processing System GRAPE at University of Edinburgh. Before that, I exchanged to HKUST and worked with Prof.Lei Chen on a new Triangle-based Parallel Subgraph Enumeration alogrithm. At Peking University, I was supervised by Prof.Cui Bin working on different parallel graph processing algorithms and systems.
For further information, please see my CV.
2017 Sept. - 2018 Dec. Master of Computational Data Science(MCDS, system track), Carnegie Mellon University
2013 Sept. - 2017 Sept. B.S. in Computer Science, Peking University (Honors)
2020 Aug. - Present Software Engineer at a stealth startup.
2019 Febr. - 2020 July Software Engineer at Striim.
2018 May - 2018 Aug. Machine Learning Intern at Databricks.
Bohan Zhang, Dana Van Aken, Justin Wang, Tao Dai, Shuli Jiang, Jacky Lao, Siyuan Sheng, Andrew Pavlo, Geoffrey J. Gordon
VLDB 2018 (demo), Rio de Janeiro, Brazil
Dana Van Aken, Andrew Pavlo, Geoffrey J. Gordon, Bohan Zhang
SIGMOD 2017, Chicago
From Think Parallel to Think Sequential (SIGMOD 2018 Research Highlight Award)
Wenfei Fan, Yang Cao, Jingbo Xu , Wenyuan Yu, Yinghui Wu, Chao Tian, Jiaxin Jiang, Bohan Zhang
SIGMOD Record 2018
Parallelizing Sequential Graph Computations （SIGMOD 2017 Best Paper Award)
Wenfei Fan, Jingbo Xu , Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian.
SIGMOD 2017, Chicago
A Demonstration of Striim: A Streaming Integration and Intelligence Platform (DEBS 2019 Best Demo Award)
Alok Pareek, Bohan Zhang, Bhushan Khaladkar
DEBS 2019, Darmstadt, Germany
2019 DEBS Best Demo Award.
2018 SIGMOD Research Highlight Award.
2017 SIGMOD Best Paper Award.
2017 Outstanding Graduate of Peking University.