Jonathan Kunz
Heidelberg, Germany
Kunz.Jonathan@t-online.de
(+49) 171 3622859

Education


Ruprecht-Karls-University Heidelberg
October 2024
 — 
Present
Master of Science in Biochemistry
  • Lecture in Mining Massive Datasesets: Programming paradigms for massively parallel data processing, especially Apache Spark and Google's JAX
  • Lectures in Embedded Machine Learning, bioinformatics
  • Lectures in physics of complex systems, biophysical simulation methods
National University of Singapore
August 2023
 — 
December 2023
Exchange Semester
  • Lectures in biochemistry: Synthetic Biologie; Protein Engineering; Protein Structure and Function
  • Lectures in computer science: Introduction to Java
  • Study environment that enhances interdisciplinary exchange at a leading global university
  • Opportunity to learn new scientific approaches in biochemistry
Ruprecht-Karls-University Heidelberg
October 2021
 — 
July 2024
Bachelor of Science in Biochemistry, Grade: 1.7
  • Comprehensive lectures in molecular and cellular biology
  • Strong Foundation in inorganic, physical, and organic chemistry, with practical experience in both organic and inorganic chemistry
  • Biochemistry lectures and hands on experience in research methods
  • Extracurricular lectures in bioinformatics, data science and biophysics

Experience


Summer School in Data Science
September 2024
 — 
September 2024
Tohoku University as part of the HeKKSaGOn program

Summer school that gives master students an in-depth insight into data science and the applications of machine learning in this field

  • Lectures about different fields in data science supported by hands-on expereince
  • A wide field of different topics: deep learning, model optimization, natural language processing and time series forecasting
  • Applications in real world datasets by utilizing the kaggle plattform
  • Talks of cutting edge research conducted by professors at Tohoku University
  • Utilization of scikit-learn and Tensorflow for data science applications
Bachelor Thesis, Grade 1.5
February 2024
 — 
July 2024
Heidelberg Institute for Theoretical Studies, Molecular and Cellular Modelling

Development of workflows utilizing the in-house program 'TRAPP' and docking software, AutoDock-Vina, to explore transient binding pockets in proteins and to analyse the binding properties for multiple test cases possibly allowing to identify new druggable targets

  • Docking Software: AutoDock-Vina, Glide, SiteMap
  • Analysis of protein ligand interactions and binding characteristics
  • Python workflows utilizing NumPy, Pandas and Biopython

Awards


Baden-Württemberg Scholarship
August 2023
Baden-Württemberg foundation

Awarded for my exchange semester at National University of Singapore, based on my achievements during my bachelor studies

Certificate in the STEMfield
January 2021
the national excellence school network

Throughout my school career, I placed a strong emphasis on STEM subjects, earning the highest distinction for my achievements

Languages


German:
Native Speaker
English:
C1 TOEFL iBT, 104/120
Swedish:
Level B1
Latin:
Obtaining the latinum with the general higher education entrance qualification

Skills


Python:
Intermediate level, Experience in the creation of workflows utilizing multiple packages like Biopython, Pandas, Matplotlib and Numpy
R:
Experience in analysis and visualization of research data for presentations and scientific reports
Java:
Fundamental Understanding
Machine Learning:
PyTorch, Tensorflow, scikit-learn
Computational Biochemistry Software:
PyMol, Maestro - Glide/SiteMap, AutoDock Vina
Linux:
Experience in using Linux as Operating System and fundamental understanding in bash