Laura Langohr

Laura Langohr is a Postdoctoral Researcher at the Finnish Institute of Molecular Medicine (FIMM), University of Helsinki, specializing in computational approaches to biomedical research. Her work bridges computer science and molecular medicine through advanced data analysis techniques.

Her core research domains include:

• Data Mining for pattern extraction in complex datasets
• Graph Theory applied to biological networks
• Computational Biology for genetic and physiological modeling
• Network Analysis of weighted and probabilistic systems
• Genetics-focused algorithm development

Langohr's publication history reveals consistent innovation in subgroup discovery and network algorithms, with emphasis on identifying non-redundant information and representative nodes in biological contexts. Her methodologies directly support molecular medicine applications through computational rigor.

Current research funding includes:

• MetaStem: Academy of Finland Center of Excellence in Stem Cell Metabolism (2023-2025)
• New insights into leukemia development (Academy of Finland, 2022-2026)
• iCAN: Digital personalized cancer medicine flagship (Academy of Finland, 2022-2026)
• Organ transport mechanisms in stem cells (Academy of Finland, 2024-2028)

No scientific awards or fellowships are documented in available sources. As a research-focused academic, her contributions center on collaborative project execution rather than formal student supervision. She operates within FIMM's interdisciplinary ecosystem, connecting computational theory with experimental biomedical research.