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My primary expertise is in the research, design, and development of large scale data intensive systems and analytics infrastructure that spans parallel database systems and in-memory analytics systems. For fun and profit, I play with ML & Statistics on various data.

Professional Experience

Engineering, Komodo Health, San Francisco, 2017 - present

• Scaling systesm/teams and automating software.

Research Scientist, Hewlett Packard Labs, Palo Alto, 2014 - 2017

• Fast derivatives pricing with in-memory compute architecture
• Composable analytics on the cloud

Research Assistant, Emory University, Atlanta, 2008 - 2014

• I designed and implemented a MapReduce based spatial query system- HadoopGIS
• Open sourced the system as HiveSP - a Hive based release, and an extensible library release libhadoopgis.
• Published several reserach papers about the framework and system, and the work is adopted by an industrial collaborator.

Intern, Yahoo! Search, Sunnyvale, Summer 2011

• During my internship (followed by a job offer), I extended the existing news recommendation system to utilize named entities mentioned in the news context to improve the ranking algorithm.

Research Intern, Microsoft Research, Redmond, Summer 2010

• Proposed and implemented a generative modeling approach to detect and disambiguate the people named entities in web pages, and tag those entities for improving search engine relevancy. A patent for the work is filed by Microsoft.

Research Intern, Max-Planck Institute for Informatics, Saarbruecken, Summer 2009

• Redesigned the TopX 2.0 XML query engine to perform indexing and searching tasks in parallel. After the redesign, the system achieved huge efficiency and ranked among the top 3 system that participating the competition.

Engineering Intern, Microsoft , Beijing, Fall 2007

• I developed an add-in for Microsoft SharePoint Server 2007, which used for an internal prototype.

Educational Background

Ph.D., Emory University, Atlanta, GA, 2014

MS, Emory University, Atlanta, GA, 2010

BE, Computer Science, University of Science and Technology Beijing, 2006

Technical Skills

Domain Knowlege

Data intensive systems software and storage technologies

Spatial Systems, Mapping and Algorithms

Spatial Data Management & Query Processing

Languages

Python, C/C++, Java

Parallel Programming

Pthreads, CUDA, MPI

Publications

A reasonable approximation of what I have done is on Google Scholar.

Academic Activities and Services

• PC Member: SIGSPATIAL 2014/2015/2016, SIGSPATIAL Ph.D. Symposium 2014, HealthGIS 2015
• Invited Journal Reviewer: IEEE TOBD, TODS, JCST, CMPB, IJGIS, CCPE
• Reviewer: SIGSPATIAL 2013, BigSpatial 2013, VLDB 2013/2014/2015, IEEE Big Data 2014