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 using various statistical analytical tools and programming languages as a Senior Analyst and Biostatistician at Memorial Sloan-Kettering Cancer Center and Scientific Programmer at Brown University. She is the co-founder SupStat, founder of NYC Data Science Academy and NYC Open-Data meetup. She likes to portray herself as a programmer, data-holic, visualization evangelist. She earned her M.S. degree in Computer Science and Statistics and B.S. degree in Computer Science.

Allen Y. Chen

Co-founder & Managing Director, Beijing Office

Allen is an experienced data scientist with a concentration in data mining and machine learning. 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 founder of big data science community in China, (Union of Data Scientists) and a very important members of Capital of Statistics(COS). He received his M.S. degree 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 Xiao is a statistician who has been involved in data analysis and predictive modeling using R for over 8 years. Kai is also an R instructor who co-authored Data Science with R, a publication of Xi’an Jiaotong University Press. As a contributor to the R community, he says that R is his favorite weapon of mass deduction. He received his Master Degree of Economy. Kai is main driving force of our training program toward corporate.


Maverick J. Guo

Senior Analytic Manager, NYC office

Dr. Guo is currently at the SDAL, Vriginia Bioinformatics Institute. He is also a postdoctoral researcher at Columbia University working on Bayesian applied statistics and Bayesian computation. Guo 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. His research interests lie in Bayesian methods, statistical computing, and applied statistics. He received his Ph.D. in Statistics from Iowa State University. Besides statistics, Guo has an interdisciplinary background in computer science, economics, and management.

Yibo Chen

Lead Data Scientist, NYC Office

Yibo is a data scientist concentrating 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 Master in Mathematics from Zhejiang University in China.  He is ranked top 0.1% on

Simel Gokkaya

Sales Manager, NYC Office

Ms.Gokkaya is a business executive with international experience and management skills in high tech companies, for the past 15 years, in the area of Information Management, Business Analytics, Enterprise Applications, Business Process and System Integration engagements. Most recently Ms.Gokkaya has worked for a New York IBM reseller where she focused on Big Data and Advance Business Analytics Services. She supported finance and retail industry clients in developing corporate data strategies to predict business results and capitalize the financial performance, strategic management and operational efficiency. Previously, Ms.Gokkaya worked for Teradata/EMEA team where she managed account relationship and engagements with HSBC, BNP Paribas, Vodafone. Prior to Teradata, Ms. Gokkaya worked as Sales and Marketing Manager for Siemens where she led the sales activities and the teams of turn key business process management projects.


Lee Hachadoorian

Senior Consultant, NYC Office

Dr. Hachadoorian conducts research in urban geography and demography using geospatial technologies, including tools such as 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 Graduate Center, he has taught at Dartmouth College, Hunter College, and New York University. As of Fall 2014 he is an Assistant Professor at Farmingdale State College. Lee advises on SupStat’s geospatial technologies.


CEO, NYC and Beijing Office

Newton’s area of expertise is in statistical modeling using R, SAS, and Stata. He has worked for the US Census Bureau as an information technology specialist and at the Robert Graham Center as a biostatistician, offering data management and analysis on a range of projects including the American Community Survey, the Centers for Disease Control and Prevention’s (CDC) Behavioral Risk Factors Surveillance System, the CDC’s National Ambulatory Medical Care Survey, and the Agency for Healthcare Research and Quality’s Medical Expenditure Panel Survey. Newton received his M.S. degree in Statistics at Stony Brook University was classmate of Vivian Zhang.

Tracy Xiong

Data Scientist, Beijing Office

Tracy pursued a Ph.D. in Biostatistics at the University of Minnesota, and is an expert in statistics, machine learning, time series analysis, and clinical trials. Tracy is also a good business negotiator and active contributor to the team. Tracy covers marketing, community engagement and outreach of partnership while doing cool analytic work.


Tong He

Data Scientist and Assistant to CTO, Beijing Office

Tong is pursuing a Master degree of Data Mining and got his M.S. degree of Bachelor of Science of Mathematics and Computational Science.  He is very experienced with statistical computing, parallel computing, data analysis, data visualization, algorithm optimization, machine learning, natural language processing, and highly efficient implementation. Tong has been working on Hadoop implementation and benchmarking among vendors.


Yihui Xie

Advisory Data Scientist

Currently Software Engineer at RStudio, Inc., Dr. Xie 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 the knitr, cranvas, and animation packages, among others, in R.


Ramnath Vaidyanathan

Advisory Data Scientist

Dr. Vaidyanathan is an Assistant Professor of Operations Management at McGill University. He holds a Ph.D. in Operations Management from the Wharton School, and worked as a Business Analyst at McKinsey & Company before advising SupStat. 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.


Xuefeng Wang

Advisory Data Scientist

Dr. Wang is a biostatistician with a specialization in bioinformatics. He is now an Assistant Professor at Stony Brook University. Before that, he worked as a Research Fellow at Harvard University, where he received his postdoctoral training.


Laurence Liew

Advisory Board Member

Mr. Liew 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. He himself is an operations expert in analytics and big data. He also works in cloud computing, HPC management software, and open-source software. He has rich experience in systems development, entrepreneurship, and corporate leadership. Among many leadership roles, Laurence currently serves as the General Manager of Revolution Analytics in the Asia Pacific region, and he advises SupStat on the future direction of business and technology.

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Yuxue Jin

Advisory Data Scientist

Dr. Jin is a Quantitative Marketing Manager at Google now. She obtained a Ph.D. in Statistics & Finance from Stanford University

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Yunting Sun

Advisory Data Scientist

Dr. Sun is an experienced data scientist especially in Finance. She earned a Ph.D in Statistics & Finance and a M.S. in Financial Mathematics from Stanford University. Now she works as a Quantitative Marketing Manager at Google. Before that, she has worked as a Quantitative Strategist at Knight Capital Group and Credit Suisse.

Our Office Locations: 
247 Centre Street, 6th Floor,New York, NY, United States, 10013 
500 7th Ave, 17th floor, New York, NY, United States, 10018 
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 

中国北京分公司:中国北京市海淀区交大东路66号钻河中心2212 邮编:100044 电话:+86 186-0002-1946 
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