Vivian S. Zhang

Co-founder & CTO, NYC, Beijing and Shanghai Office

Vivian is a data scientist who has been devoted to the analytics industry and the development and use of data technologies for several years. She obtained expertise in data analysis and data management as a Senior Analyst and Biostatistician at Memorial Sloan-Kettering Cancer Center and Scientific Programmer at Brown University. She is the co-founder of SupStat, founder of NYC Data Science Academy and the NYC Open Data meetup. She earned her M.S. in Computer Science and Statistics and B.S. in Computer Science. Vivian is a programmer and all-around dataholic, and considers herself a visualization evangelist.

Allen Y. Chen

Co-founder & Managing Director, Beijing Office

Allen is an experienced data scientist specialized in data mining and machine learning techniques. Prior to founding SupStat, he was the Chief Data Scientist of Xinhua Index Ltd., a subsidiary of the Xinhua News Agency of China. He is also the founder of the Union of Data Scientists at, and is a member of Capital of Statistics. He received his M.S. in Statistics from Renmin University of China, and earned his Certificate in Quantitative Finance (CQF) in 2008.

Kai Xiao

Partner & Senior Analytic Manager, Shanghai Office

Kai is a statistician who has been involved in data analysis and predictive modeling using R for over 8 years. Kai also teaches R and co-authored the book Data Science with R, a publication of Xi’an Jiaotong University Press. As a contributor to the R community, he likes to say that R is his favorite weapon of mass deduction. He received his Masters in Economics and is the driving force behind our corporate training program.

Yibo Chen

Lead Data Scientist, New York Office

Yibo is a data scientist specialized in data analysis, data mining, and machine learning. Previously, he worked as a data mining engineer developing scripts for R, HiveQL, and RHadoop, and providing statistics to support BI products, such as Log Analysis (source segmentation), Consumer Analysis (consumer segmentation) and Products Analysis (association rules). Yibo earned his Masters in Mathematics from Zhejiang University in China, and is ranked in the top 0.1% on


Tong He

Data Scientist and Assistant to CTO, Beijing Office

Tong is experienced in statistical analysis, parallel computing, data visualization, and algorithm optimization. He is currently focused on Hadoop implementation and benchmarking among vendors. Tong has a Masters in Mathematics and Computational Science.


Charlie Redmon

Analyst and Instructor, New York Office

Charlie is a linguist and speech data scientist, with computing experience in R, Python, and Perl. He received his Masters in Linguistics in 2014 from EFL University in Hyderabad, India, and has research experience in experimental phonetics and computational linguistics.


Jun Zhao

Analyst and Instructor, New York Office

Jun is currently pursuing a Masters in Statistics at Columbia University, and previously receive his B.S. in Mathematics. He is experienced in statistical computation, numerical methods, and machine learning, with a focus on programming in R, Python and C++.


Yihui Xie

Advisory Data Scientist

Currently Software Engineer at RStudio, Inc., Yihui specializes in statistical computing and data visualization. He founded Capital of Statistics, an online community for statistics and the most popular community for R in China. Dr. Xie is the author of the book Dynamic Documents with R and knitr. Xie earned his Ph.D. in Statistics from Iowa State University where he created a number of well-known R packages including knitr, cranvas, and animation.


Ramnath Vaidyanathan

Advisory Data Scientist

Ramnath is an Assistant Professor of Operations Management at McGill University. He holds a Ph.D. in Operations Management from the Wharton School, and has worked previously as a Business Analyst at McKinsey & Company. He has a great passion for R and has developed two R packages, slidify and rCharts, both aiming to simplify the creation and sharing of interactive web-based content in R.


Maverick J. Guo

Senior Analytic Manager, NYC office

Maverick is currently at the SDAL, Virginia Bioinformatics Institute. He is also a postdoctoral researcher at Columbia University working on Bayesian computation and applied statistics. Maverick is in the core development team of Stan, a package for Bayesian model computation using the Markov Chain Monte Carlo method, and he maintains the package rstan, an R interface for Stan. He received his Ph.D. in Statistics from Iowa State University, and has a general background in computer science, economics, and management.

Lee Hachadoorian

Senior Consultant, NYC Office

Lee conducts research in urban geography and demography using geospatial technologies and tools including QGIS, ArcGIS, PostGIS/PostgreSQL, and R. He is an expert in US census and government data, spatial databases, spatial statistics, geovisualization, and geographic information systems. A graduate from Cornell and CUNY, he has taught at Dartmouth, Hunter College, and NYU. As of Fall 2014, he is an Assistant Professor at Farmingdale State College. Lee advises on SupStat's geospatial projects.


Xuefeng Wang

Advisory Data Scientist

Xuefeng is a biostatistician with a specialization in bioinformatics. He is now an Assistant Professor at Stony Brook University. Before that he was a Research Fellow at Harvard University.


Laurence Liew

Advisory Board Member

Laurence is an innovative strategist and leader in the analytics industry. He has been spearheading the industry with state-of-the-art technologies and computing solutions for decades. His area of expertise is in operations and big data analytics. He also works in cloud computing, HPC management software, and open-source software. Among many leadership roles, Laurence currently serves as the General Manager of Revolution Analytics in the Asia Pacific region, and he advises SupStat on its future direction in business and technology.

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Yuxue Jin

Advisory Data Scientist

Yuxue is a Quantitative Marketing Manager at Google. She has a Ph.D. in Statistics and Finance from Stanford University.

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Yunting Sun

Advisory Advisory Data Scientist

Yunting is an experienced data scientist with a specialization in finance data. She has a Ph.D. in Statistics and Finance and an M.S. in Financial Mathematics from Stanford University. Now she is a Quantitative Marketing Manager at Google. Before that she worked as a Quantitative Strategist at Knight Capital Group and Credit Suisse.

Our Office Locations
205 East 42nd Street, 16th Floor, New York, NY 10017
Zhangjiang Hi-Tech Park, 563 Songtao Road, Building 2, #218, Shanghai,China, 201203
Haidian district, Jiao da East Road 66, Zuanhe center, #2212, Beijing, China, 100044