CV

Research Fellow

University of Marburg

I worked in the Database Systems Group led by Prof. Dr. Bernhard Seeger, where my primary focus was on researching innovative random access methods for DNA storage systems. This work culminated in earning my Ph.D. in Computer Science. Additionally, I contributed to academic activities by organizing lectures, leading exercise sessions, managing exams, and mentoring students on their bachelor’s and master’s projects.

• PhD Graduate
• Student Supervision
• Teaching Assistant

Invited Speaker at Ain Shams University

Ain Shams University, Faculty of Computer and Information Sciences

Exploring DNA storage options regarding costs and future usability.

• Staff ERASMUS
• Scientific Exchange
• International Experience

Invited Speaker at 'Novel Data Management Ideas on Heterogeneous Hardware Architectures (NoDMC), BTW 2023'

Technische Universität Dresden

Presenting our paper entitled 'DNAContainer: An object-based storage architecture on DNA' at BTW 2023.

• Accepted Paper
• Scientific Collaboration

Invited Speaker at 'The 1st International Conference on Data Storage in Molecular Media'

University of Marburg

Presenting our paper entitled 'High-Scale Random Access on DNA Storage Systems'.

• Accepted Paper
• Scientific Collaboration

Trends in Biotechnology

Impact factor: 16.3

Number of reviews: 1

Nature Communications

Impact factor: 14.7

Number of reviews: 4

Briefings in Bioinformatics

Impact factor: 6.8

Number of reviews: 10

Computational and Structtural Biotechnology Journal

Impact factor: 4.5

Number of reviews: 2

Recurring Guest

Debate Club (Brüder Grimm)

As a recurring guest, I enjoy conversations, discussions, and debates with the other members and leading organisators.

• Debates
• Exploring Different Ideas
• Feedback and Criticism

Ph.D. in Computer Science (Dr. rer. nat.)

University of Marburg

Thesis title: Implementing random access on DNA data storage systems.

• DNA Storage
• Random Access

ERASMUS Semester

Aalto University

Gaining international experience and improving my English.

• Finnish Culture
• International Experience

Master's in Computer Science (M. Sc.)

University of Marburg

Thesis title: Lightweight Indexing on Data Streams.

• Data Streams
• Online Query
• B⁺-trees

Bachelor's in Computer Science (B. Sc.)

University of Marburg

Thesis title: Developing an Android game with an interactive water simulation.

• Water Simulation
• Android Development

Bacleor's in Physics (not completed)

University of Marburg

Study course change.

• Study Orientation

Studienkolleg (technology course)

University of Marburg

For recognition of a foreign high school certificate, e.g., secondary school graduation.

• Mathematics
• Computer Science
• Physics
• Chemistry

Secondary School Gradutate

Governmental Secondary School

Scientific Branch

Intermediate School Gradutate

Governmental Intermediate School

Intermediate School (to be completed)

Governmental Intermediate School

Primary School Graduate

Governmental Primary School

Best Workshop Paper

BTW Workshop NoDMC 2023

After being awarded with the best workshop paper, we were invited to contribute an extension of our awarded paper entitled 'DNAContainer: an object-based storage architecture on DNA' to the Datenbank-Spektrum Journal. The extended paper is entilted 'An Extension of DNAContainer with a Small Memory Footprint'.

Editor's Choice

Editor-in-Chief Cedric Notredame at NAR Genomics and Bioinformatics

Our paper was selected as the Editor's Choice, highlighting its recognition as a high-quality publication.

An Extension of DNAContainer with a Small Memory Footprint

Datenbank-Spektrum

This publication extends and optimizes DNAContainer, a DNA data storage system already introduced in our previous publication. The paper focuses on reducing the memory footprint of DNAContainer while introducing new data operations, like deletion and overriding, on DNA.

Content-based filter queries on DNA data storage systems

Scientific Reports

This paper presents the first method enabling content-based data retrieval from DNA storage systems. Unlike traditional PCR-based methods, which are limited to key-value lookups, this approach allows data to be searched and extracted based on its content. The method leverages DNA barcodes and microarray technologies, offering a more advanced and flexible alternative for DNA data querying.

DNAContainer: An object-based storage architecture on DNA

Gesellschaft für Informatik e.V.

This publication introduces DNAContainer, a novel data storage system that enables users to manage data on DNA similarly to managing data on a disk. DNAContainer offers a virtual linear address space for efficient data addressing and supports organizing data into structures such as arrays and lists. Internally, it leverages optimization techniques, including error correction codes, to enhance the reliability of data stored on DNA.

High-scale random access on DNA storage systems

NAR Genomics and Bioinformatics

This publication proposes a novel approach to extend the address space available on DNA storage systems. Unlike traditional methods that rely on PCR and primers, this work demonstrates how DNA barcodes combined with locality-sensitive hashing (LSH) can expand the addressable space to accommodate millions of objects. This represents a significant advancement in enabling the simultaneous addressing of vast numbers of data items.