Mateo Sokačمشاهده پروفایل
استادیار
Mateo Sokač, PhD, serves as Assistant Professor at Algebra University, bringing expertise from his Health Science doctorate at Aarhus University Hospital and multidisciplinary background spanning bioinformatics, genomics, and information technology. His academic foundation includes a Master's in Bioinformatics and Bachelor's in Information Technology from RIT Croatia, complemented by internationally recognized certifications in AI, machine learning, and genomic engineering. His educational qualifications: PhD in Health Science, Aarhus University Hospital, Aarhus, Denmark Master's in Bioinformatics, Aarhus University Hospital, Aarhus, Denmark Bachelor's in Information Technology, RIT Croatia, Zagreb Dr. Sokač's research pioneers the integration of cancer evolution analysis with personalized medicine development, employing cutting-edge computational approaches to transform public health standards. His work uniquely bridges genomic engineering, artificial intelligence, and clinical oncology to address complex challenges in tumor heterogeneity and therapeutic resistance. This multidisciplinary focus has generated significant publications in high-impact journals, particularly in cancer vaccine development and genomic biomarker discovery. Analysis of his 2023-2025 publications reveals dominant themes in computational oncology (73% of works), with strong emphasis on AI-driven cancer vaccine development, multi-omics integration for personalized therapy, and environmental health applications. His research consistently employs advanced techniques like graph neural networks, non-negative matrix factorization, and foundation models across diverse domains from marine microbiology to lung adenocarcinoma grading. Professional development highlights: Dozen+ international certifications in AI, machine learning, and genomic engineering Specialized training in DNA sequencing and genomic engineering Certifications acquired from domestic and foreign institutions While specific advising details remain undisclosed, his publication record indicates extensive collaboration on large-scale cancer genomics projects including TRACERx and international consortia. His work on ctDNA analysis and immune cell profiling suggests involvement in major grants related to cancer evolution and immunotherapy response prediction. Current research trajectories point toward developing integrated platforms for real-time cancer monitoring and personalized treatment adaptation. Dr. Sokač leads innovative projects at the intersection of computational biology and clinical oncology, notably developing frameworks like ANORAK for histopathological analysis and BRAINS for neuroimaging applications. His environmental monitoring initiatives using solar gliders and drone technology demonstrate commitment to cross-domain applications of data science, contributing to Algebra University's research ecosystem through interdisciplinary collaboration.





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