About Me

Life with all its mysteries has always fascinated me. The sheer complexity that can be found in even the smallest cells and organelles is still something that strikes me with awe. I aspire to understand how physics and chemistry are shaped into all the complex life forms we see all around us.

Computational biology combines data science an mathematical tools to shed light on the intricate and complex biological processes that govern the fate of cells and organisms. Leveraging new analytical methods and using modern statistical tools we can try to understand how cells make decisions and accomplish complex tasks.

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Skills

80

Python

75

R

80

LaTeX

60

Matlab

30

C++

50

Git

70

Molecular Biology

95

English

Scientific Work

Fate trajectories of CD8+ T cells in chronic LCMV infection

2020 - bioRxive
Project Title

Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder

2022 - Bioinformatics
Project Title

Cytopath: Simulation-based inference of differentiation trajectories from RNA velocity fields

2020 - bioRxive
Project Title

Exhausted CD8+ T cells exhibit low and strongly inhibited TCR signaling during chronic LCMV infection

2020 - Nature Communications
Project Title

Landscape of Exhausted Virus-Specific CD8 T Cells in Chronic LCMV Infection

2020 - Cell Reports
Project Title

The type IV pilin PilA couples surface attachment and cell-cycle initiation in Caulobacter crescentus

2020 - PNAS
Project Title

Quantitative Selection Analysis of Bacteriophage φCbK Susceptibility in Caulobacter crescentus

2016 - Journal of Molecular Biology
Project Title

Some Stats

7

Papers Authored

2

Git Repos

5

Years of Research

Experience

I

  • 2015
    -
    2020

    Institute of Molecular Systems Biology ETHZ

    PhD in Systems Biology & Immunology

    I am currently finishing my PhD at ETH in the lab of Manfred Claassen at IMSB and in the lab of Annette Oxenius at IMB. I study the features and development of CD8+ T cells in chronic viral infections. We make use single-cell sequencing technology combined with multivariate computational analysis to understand phenotypic changes in T cell during the course of an infection. I conduct both experiments and computational anlysis.

Education

  • 2013
    -
    2014

    ETH Zürich

    Master Degree in System Biology

    In multiple projects and lectures I obtained a thorough background in Systems Biology. This included application of state of the art omics technology as well as computational analysis of such data. Learning to efficiently program was a key skill I developed during this time.

  • 2010
    -
    2013

    ETH Zürich

    Bachelor Degree in Biology

    My degree was done in the chemical direction of biology, which includes many courses in physical, inorganic and organic chemistry. In my third year of bachelor I gathered extensive theoretical and practical knowledge in immunology, microbiology and systems biology.

  • 2003
    -
    2009

    Kantonsschule Zug

    Swiss Matura

    I completet my Matura with emphasis on physics and math and did my final project on plant biochemistry, namely carbon fixation.

Contact

Otto-Stern-Weg 3
8093 Zürich, Switzerland

cerletti@imsb.biol.ethz.ch

+41 44 633 38 11

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