ISPAD JDRF Fellowship 2017

 

 

 Beata Małachowska

was awarded the ISPAD JDRF Fellowship for 2017

 

Beata Malachowska M.D. (born 9th October 1989) – a PhD student in Department of Biostatistics and Translational Medicine (Medical University of Lodz) and Postgraduate School of Molecular Medicine (Medical University of Warsaw) under the supervision of prof. Wojciech Fendler. Her Ph.D. thesis concerns usage of metabolomics studies in pediatric diabetes field and is entitled Metabolomic profiling of acute diabetes complication among children with type 1 diabetes. In 2014, she graduated from Medical University of Lodz, Medical Division. In order to advance her skills and understanding of research methodology she participated in many scientific courses e.g. Post-graduate Course in Biostatistics (2015-2016), 7th Minkowski EASD Advanced Postgraduate Course in Clinical Diabetes, ISPAD Research School for Physician (2017) and many others. Her scientific work started in 2011 at the Polish Registry for Pediatric and Adolescent Diabetes project coordinated by prof. Wojciech Mlynarski – a leader in the field of pediatric diabetology in Poland. She continued her work in the field, with particular focus on HNF1B-MODY and its pathogenesis and recently expanded with her skills onto the field of transcriptomic biomarkers. In total, she was a co-author of more than 25 research articles indexed in Medline. During medical studies, results of her research work were presented during numerous domestic and international conferences (including ISPAD Annual Conferences 2013) and received numerous conference awards in Groningen, Netherlands domestic conferences for junior doctors. Her scientific achievements resulted in obtaining several scientific scholarships (eg. Polpharma Research Scholarship for Young Scientist, Scholarship of the Minister of Science and Higher Education) and awards including 2014 Polish Student Nobel Prize in life science – contest for the best Polish student of the year and recently ISPAD-JDRF Fellowship 2017. Her current research work includes usage of advanced biostatistics, data mining algorithms and bioinformatics tools for data processing combined with broad knowledge about molecular biology and high-throughput data.

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