About TigerGraph

Dr. Yu Xu is the founder and CEO of TigerGraph, the world’s first native parallel graph database. Dr. Xu received his Ph.D in Computer Science and Engineering from the University of California San Diego. He is an expert in big data and parallel database systems and has 26 patents in parallel data management and optimization. Prior to founding TigerGraph, Dr. Xu worked on Twitter’s data infrastructure for massive data analytics. Before that, he worked as Teradata’s Hadoop architect where he led the company’s big data initiatives.

Todd Blaschka is the Chief Operating Officer at TigerGraph responsible for driving growth initiatives and scaling business operations. He is a technology industry veteran with nearly 20 years of sales leadership experience and a strong background in strategy and products. Prior to TigerGraph, Blaschka was vice president of worldwide sales at Clustrix, Inc. Additionally, he served as vice president of sales at Dataguise and has held various sales and marketing leadership positions at IBM, Electric Cloud and Sendmail, Inc., which was acquired by Proofpoint, Inc. in 2013.

Mingxi Wu is the VP of Engineering responsible for product development, quality assurance, and release. Mingxi excels at engineering team building and tech leadership. Previously, he worked at Ad-Tech startup Turn (acquired by Amobee), Oracle Relational Database Optimizer Group, and Microsoft SQL Server Manageability Group. He won research awards from SIGMOD, VLDB and KDD and holds patents on big data and pending patents on graph management. Mingxi received his PhD from the University of Florida, where he specialized in database and data mining.

Dr. Victor Lee is Director of Product Management at TigerGraph. He brings a strong academic background, decades of industry experience, and a commitment to quality and service. Victor was a circuit designer and technology transfer manager at Rambus, before returning to school for his computer science PhD, focusing on graph data mining. He received his BS in Electrical Engineering and Computer Science from UC Berkeley, MS in Electrical Engineering from Stanford University, and PhD in Computer Science from Kent State University. Before TigerGraph he was a visiting professor at John Carroll University.

Like Gao is the Senior VP of Engineering at TigerGraph. He is an experienced engineer and tech lead with a demonstrated history of working in the computer software industry. Skilled in C++, Graph Analytics, Databases, Data Warehousing and parallel computing, Like is a strong engineering professional with a PhD focused in Computer Science from University of Vermont.

Gaurav Deshpande is the VP of Marketing at TigerGraph. Gaurav brings TigerGraph a proven track-record in leading teams in creating new products, establishing new markets and dominating industries. Previously, Gaurav spent 15 years overseeing marketing for IBM's Artificial Intelligence, Blockchain and Cloud portfolios for the Banking and Financial markets, Telecommunications and Retail. He also built out and positioned IBM’s Big Data and Analytics portfolio, driving 45 percent year-over-year growth. Before IBM Gaurav led two startups through explosive growth, i2 Technologies and Trigo Technologies.

Songting is the Chief Architect at TigerGraph. He spent the last 6 years at Facebook, leading multiple real time big data efforts such as streaming, search and analytics for Facebook ads. Prior to Facebook, he worked at Ad-Tech startup Turn (acquired by Amobee), where he built petabyte-scale data infrastructure and the team from ground up. He published a number of papers in top data management conferences such as SIGMOD and VLDB, and held multiple patents. Songting received his PhD from Worcester Polytechnic Institute in the area of database systems and BS/MS from Fudan University.

Alin Deutsch, Chief Scientist, brings powerful research experience to TigerGraph. Deutsch has served on the UCSD faculty since 2002, where his research centers around data management challenges raised by large-scale database-powered applications. Deutsch is particularly specialized in query language design and optimization for various data models, with particular emphasis on semi-structured data. He holds a PhD in Computer Science from the University of Pennsylvania and a U.S. patent based on query optimization, and was recently awarded the highly prestigious PODS Alberto O. Mendelzon Test-of-Time Award at SIGMOD 2018.