Summary
Askar Gafurov is an assistant professor and computational biologist with 11 years of experience applying classical statistics and computer science to hard problems in genomics, from telomere detection via integer quadratic programming to wastewater and cell-free DNA analysis with finite mixture models. He blends rigorous theoretical tools—Markov chains, weak dependency mixing, exponential generating functions—with practical software engineering in Python, C++, Snakemake and Java, and a track record of teaching algorithms, programming and bioinformatics. His work spans academic research stints at Comenius University, Penn State and LIRMM, including large-scale genomic rearrangement analysis for antibiotic resistance prediction. Known for translating elegant math into reproducible software and course content, he mentors the next generation of programmers and bioinformaticians while pursuing a PhD in Computer Science.
11 years of coding experience
5 years of employment as a software developer
Organisational Leadership, Organisational Leadership at nexteria.sk
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Univerzita Komenského v Bratislave
High school Mathematics, High school Mathematics at Gymnázium Grösslingová 18, Bratislava
English, Slovak, Russian, French, Czech