Viktor Kovacs MSc

Viktor brings more than 12 years of experience in research, consulting and in leading and executing large-scale health economic studies. Throughout his career, he has been responsible for the design and implementation of complex analytical projects addressing a wide range of decision problems and methodological approaches. His expertise spans both cohort-based and individual-level modelling techniques, including—but not limited to—the most frequently applied Markov and partitioned survival models.

He has recent and in-depth experience across several therapeutic areas, such as pulmonary hypertension, heart failure, multiple myeloma, and lung cancer. In addition, Viktor has led projects in endometriosis, TK2d, von Hippel–Lindau disease (VHL), as well as bladder and renal cancers. Viktor is passionate about modelling rare diseases, which often lack precedent, have limited understanding of their underlying mechanisms, and present substantial data gaps.

Beyond primary analysis work, he has carried out numerous conceptual and technical validations of models developed either internally by colleagues or externally for clients, ensuring methodological rigor.

Viktor has also led or contributed to multiple economic submissions to national authorities in England, Scotland, Ireland, and the Nordic countries, and has supported reimbursement applications across most of central and Eastern Europe. His work has consistently focused on generating robust evidence to inform pricing, access, and reimbursement decisions.

He holds an MSc in Health Policy, Planning and Financing from Eötvös Loránd University (ELTE) in Budapest.