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Clausen Johann

+41 79 438 65 78 · jo@jocl.ch

Curious student in the field of Life Science Engineering.


Experience

Military service

ABC Zentrum, Spiez

Compulsory military service in NBC defense troops. Teamwork, decision-making, radiation safety.

July 2024 - April 2025

Assistant étudiant

EPFL Lausanne

Support for first-year students in Advanced general chemistry, helped with weekly exercise sessions and corrections.

September 2022 - July 2024

Summer intern

Commune de Savièse

Physical work indoors and outdoors, offered every summer to students living in the commune.

August 2018 - September 2022

Projects

Generating CRISPR tools to investigate epigenetic changes

Bachelor Project - EpiGN LAB at EPFL
  View report
January 2024 - March 2024

This project focuses on utilizing molecular biology techniques to investigate epigenetic changes in brain organoids by targeting specific genes and proteins.

This project focuses on utilizing molecular biology techniques to investigate epigenetic changes in brain organoids by targeting specific genes and proteins. The study involves the construction of key genetic constructs, including TIGRE-dCas9-GCN4 and pVLX_KDM5A_scFV-gRNA, to modulate gene expression. Through the design of guide RNAs targeting NEUROD2, and using the demethylase KDM5A, the project aims to elucidate the impact of epigenetic modifications on gene regulation and chromatin remodeling processes. The flexibility of the protocol enables seamless targeting of other regions and epigenetics modifications. The inclusion of control constructs and the utilization of GFP as a reporter gene will enhance the robustness and specificity of the results.



Predicting drug retention times in liquid chromatography

Mini project in Machine Learning course - BIO-322
  View report
September 2023 - December 2023

This project focuses on predicting drug retention times in liquid chromatography using machine learning.

This project focuses on predicting drug retention times in liquid chromatography using machine learning. Retention time (RT), unique to each drug, depends on its chemical properties and the chromatography setup. Data on drug structures and retention times from different labs and platforms has been gathered in a training and test set. Through supervised learning, we aim to create models for quick and accurate predictions. Ultimately, this could streamline drug analysis in diverse lab environments.


Education

École polytechnique fédérale de Lausanne

Bachelor in Life Science Engineering
Bachelor Project: Generating CRISPR tools to investigate epigenetic changes
General average: 5.29

  View results

September 2021 - July 2024

Lycée-Collège de la Planta

Maturité gymnasiale suisse
Specific option: Biology – Chemistry / Advanced Mathematics
General average: 5.28

  View results

August 2016 - June 2021

Skills

  Languages
  • French : Native speaker
  • English : Advanced – C1
  • German : School level – B2


  Programming Languages & Tools
  • c++
  • c++

  Skills
  • Laboratory Techniques : cell culture, pipetting, microscopy
  • Molecular Biology : cloning, PCR, qPCR, Western Blot
  • Data analysis : Python, R, Excel
  • Deep learning : Pytorch, Tensorflow

Interests

  •  Skiing
  •  Snowboarding
  •  Photography
  •  Music

Beyond my passion for life sciences and oncology, I find joy in expressing creativity and exploring the natural world. Photography allows me to capture moments and perspectives, while music provides a space to relax and express myself, especially through playing the cornet.

In the winter, you can often find me on the slopes of my homeland, Valais, in the heart of the Swiss Alps, whether skiing or snowboarding.