Dr. Ivan Kukuljan
Lead Researcher - AI & Cancer Detection | Trainer at Chinar Quantum AI
Dr. Ivan Kukuljan is a researcher specializing in Artificial Intelligence, cancer diagnostics, quantum information theory, and machine learning. He works as a Lead Researcher in AI-driven cancer detection while serving as a trainer at Chinar Quantum AI, where he teaches AI, ML, and Quantum Computing.
His background spans multiple world-class institutions including Helmholtz Munich and the Max Planck Institute, with contributions across self-supervised learning, quantum systems, tensor networks, and medical AI innovation.
Experience
TrainerPresent
Chinar Quantum AI (CQAI)
- Conducts training programs on AI, Machine Learning, and Quantum Computing.
- Designs accessible curricula simplifying complex mathematical and computational concepts.
- Mentors students building AI-driven and quantum computing projects.
Lead ResearcherPresent
Center of Excellence in AI and Cancer Detection
- Leads AI research for early-stage cancer detection and diagnostic precision.
- Develops ML models improving detection accuracy and reducing diagnostic time.
- Collaborates with oncologists and data scientists on medical translation of research.
- Publishes high-impact papers and presents findings at global conferences.
Contributor / Research CollaboratorPresent
Germany Startup Ecosystem - Bio-Printing Sector
- Contributes to bio-printing startups advancing regenerative medicine.
- Applies AI and computational modeling to improve bio-printing accuracy.
- Builds partnerships with research institutes and industry healthcare stakeholders.
Postdoctoral Researcher
Helmholtz Center Munich - Institute of AI for Health
- Researches self-supervised learning models for medical diagnostics.
- Works on AI for immune regulation and healthcare applications.
Postdoctoral Researcher
Max Planck Institute of Quantum Optics
- Conducted research on quantum information theory and tensor networks.
- Explored classical-to-quantum data encoding and efficient quantum representations.
Researcher
University of Ljubljana - Faculty of Mathematics and Physics
- Studied nonequilibrium quantum many-body systems under ERC-funded projects.
- Contributed to theoretical advancements in quantum field dynamics.
Education
Ph.D. in Theoretical Physics
University of Ljubljana
M.Sc. in Mathematical Physics
University of Ljubljana
B.Sc. in Physics
University of Ljubljana
Projects
AI-Based Cancer Detection Models
Developing self-supervised and machine learning models for early cancer diagnosis and improved clinical accuracy.
Quantum Information Theory Research
Explored tensor networks, area laws, and quantum simulations at Max Planck Institute under Prof. Ignacio Cirac.
Bio-Printing AI Modeling
Collaborating with German startups to advance regenerative medicine using AI-driven computational modeling.