AI based industry applications: A journey from cancer detection to market abuse detection
In this presentation, Cristina will walk us through her journey from leading the development of an innovative Machine Learning technology for cancer detection in ultrasound imaging to developing a breakthrough AI driven technology for the detection of market abuse in financial industry.
After finishing her PhD studies at Delft University of Technology in the Netherlands, Cristina worked for Philips Applied Technologies. In 2004, she moved to Belgium to join Advanced Medical Diagnostics (AMD), a start-up where she was leading a team of data scientists engineers, software developers and clinical research analysts to develop an innovative AI technology for prostate cancer detection in ultrasound imaging. Cristina will go through the machine learning technology principles and the methodologies used to develop the cancer detection technology and the Prostate Histoscanning TM medical device product. The critical need for absolute accuracy in cancer detection inspired her to transpose several years later similar AI and statistical based principles to detect fraud, the “cancer” of the financial industry.
After couple of years of initial development, Cristina has co-founded Features Analytics in 2014, and she is currently the CEO of this software and AI technology company based in Belgium. Features Analytics provides the next-generation Trade Surveillance Solutions for the detection of market abuse in trading in financial instruments. She will briefly introduce this topic to the audience, presenting the highlights of eyeDES®- the unique AI driven technology and platform developed by Features Analytics team under her leadership. Features Analytics is providing Trade Surveillance solutions to clients such as banks, exchanges and regulators in North America and Europe.