Can Fırtına on Enabling Accurate, Fast, and Memory-Efficient Genome Analysis via Efficient and Intelligent Algorithms

Can Fırtına will give a seminar on “Enabling Accurate, Fast, and Memory-Efficient Genome Analysis via Efficient and Intelligent Algorithms” on 10 January at 13:40. The abstract of the talk and a short bio is shared below.

Can Fırtına is a Ph.D. student at ETH Zurich working with Prof. Onur Mutlu. He received B.Sc. and M.Sc. degrees in Computer Engineering from Bilkent University, in 2015 and 2018, respectively. His current research interests broadly span computational biology and computer architecture topics, including correcting sequencing errors, accurately and quickly identifying sequence similarities, and hardware/software co-design for accelerating bioinformatics applications and genomic data analysis.

Genome sequence analysis plays a pivotal role in enabling many medical and scientific advancements in personalized medicine, outbreak tracing, the understanding of evolution, and forensics. Modern genome sequencing technologies can rapidly generate massive amounts of genomics data at low cost. However, due to the current limitations of sequencing technologies, the analysis of genome sequencing data is currently bottlenecked by the computational and spatial overheads of existing systems and algorithms, as many of the steps in genome sequence analysis must process a large amount of data using computation. Moreover, as sequencing technologies advance, the growth in the rate that sequencing devices generate genomics data is far outpacing the corresponding growth in computational power, placing greater pressure on these bottlenecks. In this seminar, we provide an overview of our works in three main directions.