Christine Tan

Christine is also a professor in accounting at Hunter College – City University of New York. At idaciti, Christine oversees all research functions related to financial data analyses, data quality assurance and the application of machine learning to financial and non-financial datasets. Prior to that, she was the XBRL Project Manager at the Financial Accounting Standards Board (FASB) for two years from 2010-2011. At the FASB, she led the team that was responsible for updating the US GAAP Financial Reporting Taxonomy for new accounting pronouncements, common reporting practices and for ongoing taxonomy architectural developments. Christine was also part of the core team at XBRL US that was contracted by the SEC to design and build the XBRL US GAAP Taxonomy. She is a member of the FASB’s Taxonomy Advisory Group and the IFRS Taxonomy Consultative Group. Christine has consulted with a number of Fortune 500 companies, government agencies, investment banks and private equity firms on matters related to financial reporting, financial data analyses, XBRL and quantitative analyses of large financial data sets. She received her Ph.D. in Accounting and Finance, and a Bachelor of Commerce and Economics with First Class Honors from the University of Melbourne in Australia.