Hi! My name is Yingjing Feng. I am a Marie Curie H2020 ITN PhD fellow of Personalised In-silico Cardiology (PIC) project, based in LIRYC (The Electrophysiology and Heart Modeling Institute) in Bordeaux, France, under the supervision of Dr. Edward Vigmond. I obtained an MSc in Computing (Machine Learning) with Distinction from Imperial College London in 2016, with a Distinguished MSc Project (2015-2016) Prize, under the supervision of Dr. Su-Lin Lee.
I am researching on the improve of atrial fibrillation treatment using non-invasive mapping method, using a joint approach of machine learning and computational modelling. I am particularly interested in Bayes deep learning, decision making, and bio-medical signal processing.
Before my PhD study, I was a software engineer in Bloomberg LP, where I also did some machine learning research and built the backend for large-scale trading data analysis, and did a summer internship as a technology analyst in JP Morgan, where I was developing an automatic testing suite for SWIFT messages using Struts Java framework and Hibernate database query. During my BSc in Computer Science degree in University of Birmingham, I was very much into Computer Security such as Cryptogrphy, SQL Injection, using ADA, Wireshark, Burpsuite, JD-GUI.