Kuan Tung

Kuan Tung is a data scientist at Ontinue. He first joined Ontinue as an intern working on a ML model that detects Domain Generation Algorithm (DGA). He published his work on ML and security conferences such as AMLD and AI4Cyber/MLHat. Kuan has also published scientific papers in IECBES and SPIE, and he won the best student paper award at Interspeech with work about interactive information retrieval. He earned a master’s in electrical engineering from the Swiss Federal Institute of Technology (EPFL).