معرفی
Ladislav Hovan is a Researcher at the University of Oslo's NCMBM, affiliated with the Marieke Kuijjer Group in Computational Biology and Systems Medicine. He earned his PhD from University College London (UCL) in 2020 and completed a postdoctoral position at the University of Geneva (2020-2022) before joining NCMBM in 2022.
His educational background includes:
- PhD from University College London (UCL), 2020
Hovan's research focuses on bioinformatics tool development for gene regulatory network inference, particularly through spatial transcriptomic data analysis. He leads the development of STOAT (a gene regulatory network generator) and SPONGE (a prior network creator), leveraging expertise in Python, C++, and high-performance computing. His work emphasizes software quality, demonstrated through active participation in weekly code review seminars and collaborative development practices within the research group.
His sole 2024 publication examines collaborative approaches to enhancing bioinformatics software reliability, highlighting how structured teamwork and code reviews address critical challenges in research tool development. This work aligns with broader trends in computational biology toward reproducible and maintainable software engineering.
Notable recognition includes:
- Scientia fellowship (2022-2024)
- UiO:Life Science internationalization support grant (awarded twice in 2024)
Hovan has secured international collaboration funding, including a planned two-month visit to the University of Helsinki in autumn 2025 to work with Anniina Färkkilä on ovarian cancer data analysis using GeoMx and tCycIF techniques. This grant supports his ongoing research into applying network tools to complex cancer datasets.
He is an integral member of the Marieke Kuijjer Group at NCMBM, contributing to a collaborative environment focused on computational approaches to biological systems and medical research through regular software quality initiatives and tool development.
