HPCC Systems 10 Year Open Source Anniversary Interview w/ Hanqing Jin & Ning Wang, Oxford University

Подробнее о видео

This next episode of the HPCC Systems 10th Anniversary series spotlights our collaboration with the Mathematical Institute at the University of Oxford in the UK. Dr Ning Wang and Dr Hanqing Jin have worked with HPCC Systems for the past few years on projects related to mathematical and behavior finance analysis. Our podcast host, Flavio Villanustre, VP Technology & CISO, LexisNexis Risk Solutions Group, talks to Ning and Hanqing about their experience from learning about HPCC Systems, how an open-source platform is a great advantage to academia, and how Oxford is leveraging it in research, in the classroom, and publishing recent papers about their work in academic and scientific journals.

With a data science background crossing over into mathematics, Ning was eager to look at different techniques to better analyze financial data patterns and trends. As Director of the Oxford-Nie Financial Big Data Lab, Hanqing has a particular interest in mathematical finance and applying machine learning in decision-based models. This research was a perfect fit for leveraging HPCC Systems. They go on to explain how the platform was used to apply imitation learning and image classification methods in the financial market to understand certain behaviors of traders. Their latest research involves using mathematical analysis to estimate several key parameters from the COVID-19 pandemic data using HPCC Systems.

We are proud to collaborate with the research and faculty team at the University of Oxford and look forward to continuing our partnership. Listen to the full episode to learn more about their research, published papers and ongoing work.