Dennis Gankin

M.Sc. in Computer Science.
Doctoral student at ETH Zurich.

AI, Bioinformatics, Industrial Automation, IT Security

Dennis Gankin

Education


ETH Zurich

2023-now: Doctoral Student at Beltrao Lab
Focusing on TWAS extensions and Neural Networks for pathway discovery.

Technical University Munich

2019-2023: M.Sc. Informatics
Final grade: 1.3
Specialization areas: Artificial Intelligence, Bioinformatics, IT Security, Computer Networks

2015-2019: B.Sc. Informatics
Final grade: 2.0
Minor in Mechanical Engineering Thesis topic: Intelligent Multi-Agent-System for Modular Production Control

École polytechnique fédérale de Lausanne

2017-2018: ERASMUS+ year abroad
Average Grade: 5.2

Massachusetts Institute of Technology

2019-2020: Research project at Abugoot lab
Computational discovery of novel CRISPR-Cas systems

Work Experience


Audi AG - Internship

April - September 2019: digital strategy and algorithms for modular manufacturing

Konrad-Adenauer-Foundation - Working Student

2016-2019: API development and testing; web design; server administration

Sports Clubs and University Sports

2014-2018: Tennis and Badminton coach

Publications


Computational Biology
Modular Production Control

Scholarships and Awards

  • 2015-2021: Scholarship at Konrad-Adenauer-Foundation
  • 2019: Swiss ERASMUS+ Scholarship for exchange at EPFL
  • 2019: Audi Talents Program
  • 2015: German Physics Society, award for excellent high school achievements