Qiang Lu
About Qiang Lu
Qiang Lu is a Data Scientist with over 15 years of experience in big data analytics and machine learning, currently employed at the U.S. Securities and Exchange Commission since 2021. He holds a Ph.D. in Computer Engineering from the University at Buffalo and has worked in various roles across several organizations, including Kore Federal, Eagle Ray Inc., Thomson Reuters, and USPTO.
Current Role at U.S. Securities and Exchange Commission
Qiang Lu has been serving as a Data Scientist at the U.S. Securities and Exchange Commission since 2021. In this role, he applies his extensive experience in big data analytics and machine learning to support the agency's mission. His work focuses on algorithm design and development for predictive modeling applications, contributing to the SEC's efforts in data-driven decision-making.
Previous Experience at Kore Federal and Eagle Ray Inc.
Prior to his current position, Qiang Lu worked at Kore Federal, now known as Eagle Ray Inc., as a Managing Associate from 2012 to 2013 in Kingstowne, VA. He later transitioned to Eagle Ray, Inc. as a Managing Consultant, where he worked from 2013 to 2016 in Chantilly, VA. During these roles, he developed skills in managing teams and projects within the data analytics domain.
Experience at Thomson Reuters and USPTO
Qiang Lu has significant experience in the field of data science, having worked at Thomson Reuters as a Senior Research Scientist from 2005 to 2012. He then served as a Data Scientist at the United States Patent and Trademark Office (USPTO) from 2016 to 2021 in Alexandria, VA. His roles in these organizations involved advanced data analysis and research, enhancing his expertise in handling complex data sets.
Educational Background and Expertise
Qiang Lu earned his Ph.D. in Computer Engineering from the University at Buffalo, where he studied from 1998 to 2004. His academic background laid the foundation for his over 15 years of experience in big data analytics and machine learning. He possesses strong programming skills and is proficient in various data mining and statistical tools, including Java, C/C++, Python, SAS, MATLAB, R, Weka, and SQL.
Specialization in Data Handling Across Domains
Qiang Lu has expertise in managing both structured and unstructured data across multiple domains. His experience spans legal, scientific, law enforcement, financial, tax and accounting, and news documents. This diverse background enables him to apply data science techniques effectively in various contexts, enhancing the analytical capabilities of the organizations he has worked with.