Language: English
Advances in sequencing technologies have created vast and diverse biological and biomedical datasets (multiOmics). This lecture will introduce methods for integrating multiOmics data, showing how combined analysis can reveal biological insights not captured by single datasets. I will highlight key machine learning approaches and practical strategies for analyzing large-scale biomedical data.
About the lecturer
Nikolay Oskolkov is a bioinformatician and Group Leader of the Metabolic Research Group at the Latvian Institute of Organic Synthesis (LIOS). With a PhD in theoretical physics (2007, Moscow State University / University of Ulm), he transitioned to life sciences in 2011 and has since applied statistical and machine learning methods to biomedical data. His research background spans medical genomics, diabetes, and cell and evolutionary biology at Lund University and NBIS SciLifeLab, Sweden.
Location
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