Dr. Richard Xie is currently a Data Science Manager at Amazon. He is also a leading advocate in the data science community. He has held various leadership roles in a variety of industries. He is also an Adjunct Professor at George Washington University and George Mason University. Richard received his Ph.D degree in Operations Research from George Mason University.

Dr. Xie has successfully applied machine learning and artificial intelligence methods to solve large-scale real life challenges. At Amazon, he leads his team to apply the state-of-arts ML technology to helping book lovers find the next best books to read. Prior to that, he worked at Fannie Mae and was leading the effort to build start-of-the-art information management system to optimize the work flow in model risk management, and provide better insights into financial risk awareness. Before joining Fanie Mae, Richard worked at Cylera as the VP of Data Science, leading a data science team to develop and deploy a robust real-time computation system and a suite of streaming machine learning models to monitor and detect network malicious anomalies. He has also extensive experience in leveraging data science methods in IoT device profiling and categorization.

Jidong (Simon) Zhang is a seasoned quantitative modeler with 14 years of experience in financial risk management. He is currently Vice President at Wells Fargo, a diversified financial services company. His team is responsible to manage the model risk related to the firm’s $ 1.4 trillion deposit-taking business. Before joining Wells Fargo in 2015, Mr. Zhang worked for several other leading financial institutions, including Santander (USA), Freddie Mac and Capital One. Mr. Zhang was frequently invited as a keynote speaker at industry conferences.

Mr. Zhang obtained the Financial Risk Manager (FRM) designation in 2014. After being recognized by the Global Association of Risk Professionals (GARP) management team as an industry leader, he was invited to write several sections of 2017 FRM exam questions.

Mr. Zhang received his M.S in Statistics and Ph.D. (ABD) in Economics from the University of Georgia. He also serves as a board member and Vice-Chair of the Washington DC chapter of the TCFA (The Chinese Finance Association).

Fei Xing, with a Ph.D. in mathematics, serves as the Director of Analytics at Mathematica. At Mathematica, Fei spearheads data science initiatives that enhance operations and bolster decision-making for a diverse array of federal, state, and commercial stakeholders.

Fei holds board positions in several non-profit organizations, including the North America Federation of Tsinghua Alumni Association (NAFTHAA), the Monte Jade Washtington DC, and the Tsinghua Alumni Association in Greater Washington DC, alongside CADSEA.

Tiger Tang is an experienced Data Science leader with a commitment to building and fostering the Data Science community. Currently serving as a Senior Data Science Manager at CARFAX, where he leads a team specialising in data health, Natural Language Processing (NLP), and forecasting. Tiger believes in the transformative potential of data science, and he is passionate about sharing his knowledge and expertise with others. As a frequent speaker at industry conferences and schools, he enjoys empowering others to leverage data science tools to drive meaningful impact in their organisations and communities.

Dr. Richard Xie is currently a Data Science Manager at Amazon. He is also a leading advocate in the data science community. He has held various leadership roles in a variety of industries. He is also an Adjunct Professor at George Washington University and George Mason University. Richard received his Ph.D degree in Operations Research from George Mason University.

Dr. Xie has successfully applied machine learning and artificial intelligence methods to solve large-scale real life challenges. At Amazon, he leads his team to apply the state-of-arts ML technology to helping book lovers find the next best books to read. Prior to that, he worked at Fannie Mae and was leading the effort to build start-of-the-art information management system to optimize the work flow in model risk management, and provide better insights into financial risk awareness. Before joining Fanie Mae, Richard worked at Cylera as the VP of Data Science, leading a data science team to develop and deploy a robust real-time computation system and a suite of streaming machine learning models to monitor and detect network malicious anomalies. He has also extensive experience in leveraging data science methods in IoT device profiling and categorization.

Dr. Ken (Ximiao) Jiang is currently working as a Data Science Sr. Manager at the Capital One bank, where he is leading the credit card fraud detection model risk management work. He also involved in the validation and risk management of various credit card acquisition, valuation and client management models. Prior to Capital One, Ken worked as a senior quantitative modeler at Fannie Mae for over 4 years, where his primary role was validating and researching various mortgage loan credit risk, prepayment risk and home price related models. Ken holds a PhD degree in engineering and a master’s degree in statistics. He has many years of experience working in both academia and industry to use advanced statistical models to address real world problems. In his career, Ken has served multiple leading financial firms and key government agencies, includes the OFR of the Treasury, SBA, USDOT, Capital One, Freddie Mac and Fannie Mae, etc.

Jidong (Simon) Zhang is a seasoned quantitative modeler with 14 years of experience in financial risk management. He is currently Vice President at Wells Fargo, a diversified financial services company. His team is responsible to manage the model risk related to the firm’s $ 1.4 trillion deposit-taking business. Before joining Wells Fargo in 2015, Mr. Zhang worked for several other leading financial institutions, including Santander (USA), Freddie Mac and Capital One. Mr. Zhang was frequently invited as a keynote speaker at industry conferences.

Mr. Zhang obtained the Financial Risk Manager (FRM) designation in 2014. After being recognized by the Global Association of Risk Professionals (GARP) management team as an industry leader, he was invited to write several sections of 2017 FRM exam questions.

Mr. Zhang received his M.S in Statistics and Ph.D. (ABD) in Economics from the University of Georgia. He also serves as a board member and Vice-Chair of the Washington DC chapter of the TCFA (The Chinese Finance Association).

Dr. Liu has 10+ years experience of applying Data Science (specialised in ML & NLP) in various industries including finance, law and biotechnology. He is leading the application of the latest AI technologies in consulting and financial industries with experiences in innovative organisations such as Deloitte and Capital One. He started DS career as a Data Scientist at NCBI of NIH for biomedical search engine PubMed and volunteered to work on providing DS support for anti racial profiling projects with AAJC. He received BS from Nanjing University in China, MS from University of Rochester, and PhD in Computer Engineering from University of Maryland.

Fei Xing, with a Ph.D. in mathematics, serves as the Director of Analytics at Mathematica. At Mathematica, Fei spearheads data science initiatives that enhance operations and bolster decision-making for a diverse array of federal, state, and commercial stakeholders.

Fei holds board positions in several non-profit organizations, including the North America Federation of Tsinghua Alumni Association (NAFTHAA), the Monte Jade Washtington DC, and the Tsinghua Alumni Association in Greater Washington DC, alongside CADSEA.

Kathy Liu is a true entrepreneur and enthusiast who believes technology can make the world a better place if it is used wisely. She also believes innovation is the soul of technology and collaboration is the key for us to keep the pace with or lead the fast-changing technology trend in the era of data and artificial intelligence. She has over twenty years of experience in team leading and project management. She managed and supervised many high-tech projects such as the implementation of microcellular systems, remote office systems, and the satellite telecommunication in the railroad system. Kathy holds a bachelor’s degree in Industry Trade from Shanghai Jiaotong University and a PMP from PMI.

Tiger Tang is an experienced Data Science leader with a commitment to building and fostering the Data Science community. Currently serving as a Senior Data Science Manager at CARFAX, where he leads a team specialising in data health, Natural Language Processing (NLP), and forecasting. Tiger believes in the transformative potential of data science, and he is passionate about sharing his knowledge and expertise with others. As a frequent speaker at industry conferences and schools, he enjoys empowering others to leverage data science tools to drive meaningful impact in their organisations and communities.