Dániel Vince started working as a software engineer in 2016 as a BSc student. He was a member of a .NET development team, where he developed web and desktop applications according to customer needs. Since then, he has been involved in several optimization-related projects, such as optimizing runtime and memory consumption of software systems and machine learning frameworks for embedded devices.

He is a passionate learner, actively seeking new areas. He obtained his MSc in Computer Science from the University of Szeged in 2020, then applied for PhD in the same institution and working on his dissertation.

🔭 His chosen field of research is the random (fuzz-) testing related test case reduction and fault localization. He is also interested in the energy consumption of software systems and automotive technologies.

In addition to his PhD studies, he actively teaches practical courses at the university, such as C# and Java-based application development, and is involved in mentoring BSc students in the preparation of their theses.