Monia Avdić, PhD
Associate Professor | Head of Department and Lab | Microbiologist
Experienced academic and researcher in microbiology, molecular diagnostics, and bioengineering. Currently Associate Professor and Head of the Genetics and Bioengineering Department and Laboratory at International Burch University. I hold a PhD in Genetics and Bioengineering with a thesis on biofilm-based urinary tract infections, and an MSc in Microbiology, both with top GPA (10.0).
Over a decade of teaching experience across microbiology, immunology, molecular biology, and histology. I supervise research, manage projects, mentor MSc and PhD students, and lead accreditation efforts. My lab work focuses on antimicrobial resistance, biofilms, and the application of AI in medical microbiology.
Published 30+ peer-reviewed papers, presented at numerous international conferences, and contributed to EU-funded and interdisciplinary projects. Skilled in machine learning applications, fuzzy systems, and public science communication. Fluent in English and intermediate in German.
Passionate about combining science, education, and innovation to address global health challenges.
Monia Avdić, PhD
Associate Professor | Head of Department and Lab | Microbiologist
Experienced academic and researcher in microbiology, molecular diagnostics, and bioengineering. Currently Associate Professor and Head of the Genetics and Bioengineering Department and Laboratory at International Burch University. I hold a PhD in Genetics and Bioengineering with a thesis on biofilm-based urinary tract infections, and an MSc in Microbiology, both with top GPA (10.0).
Over a decade of teaching experience across microbiology, immunology, molecular biology, and histology. I supervise research, manage projects, mentor MSc and PhD students, and lead accreditation efforts. My lab work focuses on antimicrobial resistance, biofilms, and the application of AI in medical microbiology.
Published 30+ peer-reviewed papers, presented at numerous international conferences, and contributed to EU-funded and interdisciplinary projects. Skilled in machine learning applications, fuzzy systems, and public science communication. Fluent in English and intermediate in German.
Passionate about combining science, education, and innovation to address global health challenges.