Cecilia Huang

Cecilia Huang is a skilled professional with a Master of Science in Computer Science and Machine Learning from The Faculty of Engineering at Lund University. Currently serving as a Master Thesis Student at Debricked, Cecilia focuses on automatically generating security vulnerability patches using machine learning. Previous experience includes contributions as a Founding Member & Developer at DirectEd Development Foundation, and as a Web Application Manager for ARKAD - Teknologkårens arbetsmarknadsdagar. Prior roles also encompass software internships at Flow Neuroscience, where Cecilia maintained back-end systems and utilized Python, Django, and SQL for data visualization purposes, as well as positions in marketing, data entry, and tutoring.