Konstantin Simonchik

About

As SVP of Data Science at Incode, I lead applied AI for digital identity, fraud prevention, and digital trust. My expertise spans biometrics, face recognition, voice biometrics, facial and voice liveness detection, anti-spoofing, and deepfake detection. My work also covers identity graphs, entity resolution, privacy-preserving identity intelligence, and agentic AI for identity verification, online fraud detection, transaction processing, and risk decisioning. I also write about synthetic identity fraud.

I co-founded ID R&D (acquired by Mitek in 2021) and served as Chief Scientific Officer. I hold a PhD and have authored peer-reviewed research on speaker recognition and anti-spoofing. Selected personal achievements and recognition for ID R&D include:

• Winner, Tech Leadership – Software & Services Provider, Banking Tech Awards 2025.
• Kaggle gold medalist — top 0.3% (6/2,114) in the 2020 Deepfake Detection Challenge.
• ID R&D: finalist for Best ID Management Solution at the Finovate Awards.
• ID R&D: TechCrunch Top Pick in Fintech for Disrupt SF.
• ID R&D: selected by Microsoft as a Top Ten AI Company in AI Innovate Global.

Keywords: artificial intelligence, digital identity, identity verification, fraud prevention, biometrics, face recognition, face and voice liveness, voice biometrics, anti-spoofing, deepfake detection, identity graphs, privacy-preserving identity intelligence, agentic AI, online fraud detection, transaction processing, data science.