Storage (and retrieval) of information over DNA-based media raises unique challenges in contrast to contemporary digital standards, on many levels: algorithmic, computer/data scientific, information theoretic, (bio- and electrical-)engineering, biologic (and chemical). Thus, fresh (and renewed) focus on a number of rarely-studied problems in computation and information theory is necessitated, in coordination with partners from all of these disciplines. In this talk, we take an information-theoretic perspective and outline the general channel model. We will delve into a few of its components, presenting pertinent Coding-theoretic problems and the approaches that have been deployed to address them.
Yonatan Yehezkeally is the Carl Friedrich von Siemens Post-Doctoral Research Fellow of the Alexander von Humboldt Foundation, with the Associate Professorship of Coding and Cryptography (Prof. Wachter-Zeh), School of Computation, Information and Technology, Technical University of Munich. His research interests include Coding Theory and Algorithms, particularly with applications to novel storage media, with a focus on DNA-based storage and nascent sequencing technologies. They further include combinatorial analysis and structures, as well as algebraic structures.
Yonatan received the B.Sc. degree (cum laude) in Mathematics and the M.Sc. (summa cum laude) and Ph.D. degrees in Electrical and Computer Engineering from Ben-Gurion University of the Negev, Israel, in 2013, 2017, and 2020 respectively.