About me
Computational biologist with over 20 years of experience analyzing complex biological data and deploying scalable infrastructure. Originally trained in molecular biology and genetics at Eötvös Loránd University, I transitioned to computational biology during my Master’s studies and subsequently earned a PhD in Classical and Molecular Genetics, focusing on the evolutionary conservation of gene expression regulation. My career spans high-impact roles across agricultural biotechnology, cancer genomics, and molecular diagnostics, where I specialized in engineering end-to-end bioinformatics pipelines, developing novel analytical tools, and bridging the gap between dry-lab and wet-lab teams. Across these roles, I handled multi-terabyte datasets, analyzed hundreds of patient samples, and frequently managed research projects.
Currently operating as an independent consultant, I partner with biotech startups, academic laboratories, and independent researchers to translate raw sequencing data into biological discoveries, utilizing R, Python, Snakemake, and cloud infrastructure (AWS/GCP). To complement my deep expertise in genomics and transcriptomics, I also hold a Master’s in Human Ecology. This unique combination allows me to apply systems-level thinking — integrating sociology, ecology, and data science — to complex biological problems, making me a highly adaptable partner for projects requiring both granular genetic analysis and macro-scale environmental or ecological context.
Available for new projects
Available for consulting engagements, pipeline development, or workflow auditing — let’s turn your next-generation sequencing results into actionable insights.
Experience
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Bioinformatics Consultant
December 2020 – PresentThe Bioinformatics CRO · Orlando, Florida, US
Partnering with diverse clients to translate next-generation sequencing (NGS) data into biological insights, specializing in custom genomics and transcriptomics pipelines.
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Bioinformatics Group Leader
September 2018 – December 2021Semmelweis University · Budapest, HU
Directed genomics and molecular diagnostics research initiatives, managed a dedicated bioinformatics team, mentored junior scientists, and instructed university-level data science courses.
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Postdoctoral researcher
September 2015 – August 2018IFOM-ETS · Milan, IT
Analyzed complex genomic datasets to uncover mechanisms driving cancer and rare diseases; engineered novel biostatistical methods and software tools to model chromatin architecture.
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Postdoctoral researcher
February 2012 – August 2015GRIB-UPF · Barcelona, ES
Processed large-scale cancer genomic and transcriptomic cohorts, developing a novel computational framework to detect transcript isoform and alternative splicing switches across tumor samples.
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Bioinformatician
January 2006 – January 2012Agricultural Research Institute of the Hungarian Academy of Sciences · Martonvásár, HU
Spearheaded bioinformatics, biostatistics, and data visualization workflows supporting agricultural genomics and plant genetics. Advanced agritech initiatives through custom database integration and multi-omics analysis of non-model organisms.
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PhD Candidate
September 2003 – August 2006Agricultural Biotechnology Center · Gödöllő, HU
Executed agricultural bioinformatics and biostatistical analyses, building and managing specialized databases and web-accessible tools to support high-throughput genomics research.
Education
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MA in Human Ecology
2021 – 2023Eötvös Loránd University
Research focus: modeling long-term landscape transformation in the Middle-Ipoly region by integrating quantitative GIS and meteorological datasets with qualitative interviews and historical source analysis.
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PhD in Classical and Molecular Genetics
2003 – 2006Eötvös Loránd University
Research focus: development of DoOP and DoOPSearch, web-based eukaryotic promoter motif search and enrichment tools for comparative genomics.
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MSc in Biology
1998 – 2003Eötvös Loránd University
Research focus: analysis of the evolutionary conservation of eukaryotic transcription factor binding sites and promoter regions.