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• Bioinformatics
• Computational Biology
• Epidemiology
• +5 more

Alexander Ploner is a Researcher at the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet since 2011. His work focuses on biostatistics, epidemiology, and bioinformatics with applications in medical research. Dr. Ploner received his Doctorate in Technical Sciences from the Technical University of Vienna in 2000 and completed his Diplom-Ingenieur (B.S. and M.S.) in Mathematics from the same institution in 1995. Ploner's research primarily centers on the analysis of molecular data and its clinical and epidemiological applications. His work involves gene expression microarrays and SELDI-TOF mass spectrometry, particularly in cancer research. He develops statistical methods to address the challenges of high-dimensional data and multiple testing, with a focus on false discovery rate variants. A strong advocate for practical implementation, he maintains several R packages available through the Bioconductor repository, bridging theoretical statistics with real-world applications in medical research. His publication record demonstrates consistent contributions across multiple domains including psychiatric genetics, cancer epidemiology, aging research, and vaccine effectiveness. Recent work shows an increasing focus on interdisciplinary research connecting genetics, epidemiology, and clinical outcomes, with particular attention to mental health disorders, cancer risk factors, and the biological mechanisms of aging. Dr. Ploner has supervised at least one doctoral student, Maria Sandberg (Schelin), whose 2007 thesis focused on "Contralateral Breast Cancer - Risk and Prognosis." His collaborative approach is evident in his extensive co-authorship across numerous high-impact studies, reflecting engagement with multiple research teams and projects at Karolinska Institutet.

Jessica FahlenView profile

Associate Professor

• Biostatistics
• Bioinformatics
• Microarray Data Analysis
• +3 more

Jessica Fahlen is an Associate Professor and Director of Studies at the Umeå School of Business, Economics and Statistics (USBE), Statistics Section, Umeå University. Her research spans bioinformatics, biostatistics, and educational pedagogy, with a focus on microarray data analysis and statistical methodologies in biological systems. She has contributed to advancements in cancer biomarker research, dye-normalization techniques, and spatial statistical modeling. In 2019, she received the USBE Pedagogical Prize for her educational innovations. Education: PhD in Mathematical Statistics (inferred from career timeline). Research Interests: Her work bridges computational biology and statistical theory, addressing challenges in genetic data processing (e.g., miRNA analysis in carcinomas) and educational team-based learning strategies. Recent efforts include optimizing microarray experiments and exploring spatial point processes in statistical physics. Notable Contributions: Co-developed the MC-normalization method for two-channel microarrays and authored key papers on formalin-fixed tissue analysis for miRNA stability. Advising/Grants: No formal student advisees or grant details listed in the provided texts.