Viktor Viglasky | Biology and Life Sciences | Best Researcher Award

Viktor Viglasky | Biology and Life Sciences | Best Researcher Award

Assoc Prof Dr Viktor Viglasky, P.J.Safarik University in Kosice, Slovakia

Based on the extensive qualifications and contributions of Associate Professor Dr. Viktor Víglaský, he appears to be a highly suitable candidate for the Best Researcher Award.

Publication profile

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Research for Best Researcher Award: Assoc. Prof. Dr. Viktor Víglaský

Training, Preparation, and Participation in International Projects
Dr. Viktor Víglaský has an impressive track record of representing Slovakia in numerous international research initiatives, including significant EU COST projects such as Epigenetic Chemical Biology and MP0802. He has also contributed to the MARCY project and completed scientific internships in prestigious institutions like INSERM in Paris. His academic journey includes a full university degree in Biochemistry from Charles University, equipping him with a solid foundation in biochemistry, molecular biology, and biophysics.

Awards and Recognitions

His commitment to research and education has been recognized through several awards, including the Young Researcher of the Year in the Slovak Republic (2000) and the Dean’s Award for Teaching Activity (2019).

Research and Educational Contributions

Dr. Víglaský has supervised a substantial number of graduate students, guiding 7 PhD candidates, 35 master’s theses, and 18 bachelor theses. His teaching encompasses a broad spectrum of subjects related to biochemistry and molecular biology, demonstrating his dedication to student education.

Publications and Impact

He has authored 34 articles in esteemed scientific journals indexed in WoS and Scopus, accumulating around 900 citations, with a notable H-index of 18. His published works, such as research on G-quadruplexes, have contributed significantly to advancing knowledge in the field.

Research Projects

Dr. Víglaský has been the responsible investigator for several noteworthy projects, exploring innovative topics like self-assembling G-DNA structures and the role of hypoxia in cardiovascular risks. His collaborative efforts and contributions to projects involving G-quadruplexes have underscored his impact on both basic and applied research.

Publication top notes

G-QINDER Tool: Bioinformatically Predicted Formation of Different Four-Stranded DNA Motifs from (GT)n and (GA)n Repeats

Given Dr. Víglaský’s extensive experience, significant research output, and dedication to education, he exemplifies the qualities of an exceptional researcher. His contributions not only advance scientific understanding but also inspire the next generation of scientists.

 

Álvaro Torres-Martos | Biology and Life Sciences | Best Researcher Award

Álvaro Torres-Martos | Biology and Life Sciences | Best Researcher Award

Mr Álvaro Torres-Martos, University of Granada, Spain

Based on the impressive research experience and academic achievements of Mr. Álvaro Torres-Martos, he appears to be a strong candidate for the Best Researcher Award.

Publication profile

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Research Experience

Mr. Torres-Martos has been deeply involved in cutting-edge research projects. His work as a Bioinformatic Researcher on the ACTIBATE project, focused on exploring therapeutic targets through exercise and brown adipose tissue activation, demonstrates his expertise in bioinformatics. His role as a Pre-doctoral Researcher on the EXOMAIR project, which aims to use explicable artificial intelligence for precision medicine, further highlights his research excellence and potential impact in the field of metabolic health.

Academic Background

With a Bachelor’s degree in Biochemistry and a Master’s in Bioinformatics and Biostatistics, Mr. Torres-Martos has a solid foundation in the sciences, further strengthened by his ongoing pre-doctoral studies and faculty position in Biochemistry and Molecular Biology at the University of Granada. His academic progression reflects a commitment to interdisciplinary research, particularly in bioinformatics and precision medicine.

Research Publications

Mr. Torres-Martos has contributed to high-impact journals, with publications that showcase his expertise in multi-omics, machine learning, and their applications in childhood obesity and insulin resistance. His research has been recognized in well-regarded journals like Artificial Intelligence in Medicine and Translational Psychiatry, with his work cited by other scholars, indicating the relevance and influence of his studies in the scientific community.

Other Achievements

Mr. Torres-Martos’s achievements extend beyond publications. His victory in the III Bioinformatics Datathon and the development of the ObMetrics app highlight his practical contributions to the field. Additionally, his active participation in national and international conferences and completion of specialized courses in data science and bioinformatics demonstrate his dedication to continuous learning and knowledge dissemination.

Conclusion

In conclusion, Mr. Álvaro Torres-Martos has established himself as a highly skilled researcher with a significant impact on the fields of bioinformatics, precision medicine, and metabolic health. His academic background, research experience, and substantial contributions to high-impact journals make him a deserving candidate for the Best Researcher Award. His ongoing commitment to advancing knowledge in bioinformatics and his innovative approaches to addressing complex health issues position him as a leading researcher with a promising future.

Publication top notes

Impact of physical activity and exercise on the epigenome in skeletal muscle and effects on systemic metabolism

Omics data preprocessing for machine learning: A case study in childhood obesity

Body mass index interacts with a genetic-risk score for depression increasing the risk of the disease in high-susceptibility individuals

Human multi-omics data pre-processing for predictive purposes using machine learning: a case study in childhood obesity

Integrative analysis of blood cells DNA methylation, transcriptomics and genomics identifies novel epigenetic regulatory mechanisms of insulin resistance during puberty in …

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study

Leveraging Machine Learning and Genetic Risk Scores for the Prediction of Metabolic Syndrome in Children with Obesity

An Unhealthy Dietary Pattern-Related Metabolic Signature Is Associated with Cardiometabolic and Mortality Outcomes: A Prospective Analysis of the UK Biobank Cohort

Big Data and Machine Learning as Tools for the Biomedical Field

Epigenetic Alterations in the Estrogen Receptor Accompany the Development of Obesity-Associated Insulin Resistance during Sexual Maturation