To stay up-to-date with the lab, don't forget to follow us on Twitter (@BodenmillerLab)!

News

  • Bernd was invited to the Strategy & Insider podcast to talk precision oncology, AI and the future of diagnostics.
    May 30

    Alongside Prof. Dr. Andreas Wicki, Bernd shared his vision to transform cancer diagnosis, treatment, and management. Click the link below to listen to his take on the future of diagnostics.

    Apple podcast
     

  • We're pleased to announce two new Ph.D. students, Quentin Hellier and Simone Häfliger. Welcome on board!
    Jan 8
  • Huge congratulations to Tsuyoshi for successfully defending his PhD!
    Oct 26

    The subject of his Thesis is: "Highly-Multiplexed and Sensitive Antibody-Based Imaging with DNA Barcodes and Metal Isotope-Labeling".

  • A big welcome to our newest post-doctoral fellow, Genki Usui! We're delighted to have you join our team.
    Oct 2
  • Today, the Bodenmiller lab celebrated its 10 year anniversary. Thanks to all our alumni who travelled far and wide to join us!
    Sep 8
  • Welcome to our newest team members, Lydia Schulla and Egle Ervin. We're thrilled to have them on board!
    Sep 1
  • Congratulations to Lena for successfully defending her PhD!
    Jul 13

    The title of her Thesis is: Single-Cell Analysis of Cancer-Associated Fibroblast Heterogeneity with a Focus on
    Spatial Distribution and Clinical Implications. Lena's PhD was awarded with a Distinction.

  • We're excited to announce the newest member of the team! A big welcome to our new postdoctoral fellow, Maria Ramos Zapatero!
    Jul 3
  • A warm welcome to our new PhD student, Nathan Steenbuck!
    Apr 3
  • A big welcome to our new senior computational scientist, Milad Adibi and our new research associate, Sophie Déglise!
    Feb 1
  • We're excited to open our multiplexed tissue imaging workshop to a wider audience! For more details, click here.
    Dec 8

    Given high demand, the multiplexed imaging symposium and parts of the computational workshop will now also be offered online. Register with the QR code here and check out the attached details.

     

  • We are pleased to announce our multixed tissue imaging workshop! Get hands-on experience with multiplexed imaging and hear from experts in the field. Click here for more details.
    Oct 25

    Our workshop takes place in Zurich from the 09 - 12 January, 2023, offering a comprehensive dive into the field of multiplexed imaging. In-person tickets are currently sold out.

     

  • Jonas successfully defended his PhD!
    Jun 22

    The subject of his Thesis is: “ Multiplexed Tissue Image Processing and Spatial Single-Cell Data Integration”. Congratulations to Jonas!

  • Laura successfully defended her PhD!
    Mar 29

    The subject of her Thesis is: “Studying Breast Cancer Invasion and Metastasis with 2D and 3D Imaging Mass Cytometry ”. Congratulations to Laura!

  • Bernd was a guest on the Strategy & Insider podcast with Dr. Thomas Solbach
    Dec 2

    Algorithms could dramatically revolutionize healthcare and modern medicine by making predictions about cancer treatments and providing patients with personalized and individual care. Together with Dr. Thomas Solbach, Bernd discussed how digitization could spur healthcare research to the next level in the latest Strategy&Insider podcast episode.

    Apple Podcast

    Spotify

  • Jana awarded for outstanding doctoral thesis
    Dec 1

    Jana R Fischer has received a distinction for outstanding dissertation by the Faculty of Science on the 15th of November 2021.

    The subject of her Thesis is: “High-Dimensional Profiling of the Breast Cancer Microarchitecture”. Congratulations to Jana!

  • Sunny successfully defended her PhD!
    Nov 1

    The subject of her Thesis is: “Single-Cell Profiling of the Tumor Immune Microenvironment of Primary and Metastatic Human Breast Cancer”. Congratulations to Sunny!

  • Jana successfully defended her PhD!
    Oct 2

    The subject of her Thesis is: “High-Dimensional Profiling of the Breast Cancer Microarchitecture”. Congratulations to Jana!

  • New members in the Bodenmiller lab.
    Oct 1

    Stefanos Voglis has joined the lab as a visiting scientist and Alina Bollhagen has started as a Ph.D. student.

  • New members in the Bodenmiller lab.
    Jan 4

    Pierre Bost has joined the lab as a postdoctoral fellow, Tatjana Schmitz and Mengze Zhang have started as Ph.D. students, and Eduard Petrosyan has joined us as a Master's student.

  • Bernd Bodenmiller has been appointed dual professor.
    Sep 20

    Bernd Bodenmiller is now dual professor at the Department of Quantitative Biomedicine, UZH and at the Institute for Molecular Health Sciences, ETH Zurich.

  • New students in the Bodenmiller lab.
    Sep 1

    Daria Lazic is a visiting Ph.D. student, learning to apply imaging mass cytometry in the Bodenmiller lab. Luca Räss and Hangjia Zhao have joined us as Master's students.

  • Johanna received the “Annual Award 2020” of the Faculty of Sciences for her PhD Thesis
    Apr 28

    Auf Antrag der Mathematisch-naturwissenschaftlichen Fakultät verleiht die Universität Zürich einen Jahrespreis an
    Dr. Johanna Wagner-Albrecht für ihre Dissertation «Single-Cell Proteomic Characterization of the Tumor and Immune Ecosystem of Human Breast Cancer with Focus on Metastatic Potential».
    Johanna erforscht die Diversität der Zellen in humanen Brusttumoren. Sie entdeckte neue Patientinnen Untergruppen die von Immuntherapien profitieren könnten und dass aggressivere Tumore überraschenderweise von wenigen Krebszellarten dominiert werden. Ihre Arbeit ist richtungsweisend für individuell auf Patientinnen zugeschnittene Therapien.
    Congratulations Johanna!

  • Marco successfully defended his PhD!
    Jan 21

    The subject of his Thesis is: “Deciphering the Signaling Network Landscape of Breast Cancer Supports Precision Medicine”. Congratulations to Marco!

  • Vito successfully defended his PhD!
    Jan 7

    The subject of his Thesis is: “Investigation of Intra- and Intercellular Signaling through Mass Cytometry Based Single Cell Methods”. Congratulations to Vito!

  • Johanna awarded for outstanding doctoral theses
    Jan 7

    Johanna Wagner has received a distinction for outstanding dissertation by the Faculty of Science on the 13th of December 2019. That means that Johannas’ thesis was among the top 5% PhD theses awarded by the University of Zurich, based on a jury of international reviewers.

    The subject of her Thesis is: “Single-Cell Proteomic Characterization of the Tumor and Immune Ecosystem of Breast Cancer”. Congratulations to Johanna!

  • Bernd and his team have been awarded with the ERC Consolidator Grant
    Dec 16

    Tumors are highly complex entities that consist of many different cells communicating with each other. The project aims to develop new technologies and computer-aided methods that rationalize this complexity and describe tissues akin to (a)social networks. Such representations could help scientists understand the mechanistic underpinnings of cancer in the context of metastatic breast cancer and determine the most suitable therapies for breast cancer patients.
    Congratulations!

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To stay up-to-date with the lab, don't forget to follow us on Twitter (@BodenmillerLab)!

Research

Methods development

We develop experimental and computational methods to study tumor ecosystems on the single-cell level. In such an ecosystem, many cell types, including tumor, stromal, immune and endothelial cells, interact and communicate in multicellular assemblies. We seek to understand how tumor ecosystems function and ultimately how their properties affect disease. We generate comprehensive single-cell datasets of tumors from many patients, which requires detection of dozens of markers simultaneously. We have pioneered mass cytometry-based methods for simultaneous multiplexed marker detection and analysis in both dissociated tissues and on tissue sections, and continue to develop these methods further (see technology section).

Simultaneous multiplexed imaging of mRNA and proteins. From Schulz et al, 2018.

Translational research and precision medicine

Solid tumors are multicellular ecosystems of diverse cell types that interact to manifest emergent phenotypes which ultimately determine clinical outcome. We combine suspension or imaging mass cytometry with computational techniques to systematically describe cell phenotypes in tumor ecosystems and to examine their distribution across patients and tumor types. We generate atlases of human tumors from large patient cohorts with known clinical outcome, and identify cellular and spatial phenotypes associated with disease progression. These atlases lay the foundation for improved patient stratification and provide potential drug targets for ongoing study. These data are also the foundation for follow-up studies to understand mechanisms of the disease. We are part of several large-scale, multi-center projects bringing together clinicians, research labs and pharmaceutical companies, in which we develop mass cytometry and imaging mass cytometry for precision medicince applications.

Artistic representation of an invasive breast tumor ecosystem, depicting cancer cells (irregular shapes) and immune cells (circles). Image by Johanna Wagner.

Mechanisms of cancer

Single-cell systems biology analyses of tumor samples yield a wealth of data about cancer biology. To understand the regulatory networks underlying the disease, we use algorithmic and data-driven approaches to model subpopulations of cells and their signaling network structures. Further, using data from imaging mass cytometry, we model how signaling network states spatially couple with those of other cells. As a complement to modeling and associative studies, we use in vitro patient-derived organoid and cell co-culture models to conduct small molecule screens and carry out perturbation studies aimed at understanding mechanistic aspects of tumor biology.

Perturbation time course of 3D tissues. Courtesy of Matthias Leutenegger and Vito Zanotelli.

The Bodenmiller lab is supported by these consortia:

and TumorProfiler and SNF Sinergia.

Technology

Imaging Mass Cytometry

Single-cell systems biology of cancer requires methods to measure multiple markers within tumors, quantitatively, and with spatial and single-cell resolution. Based on our earlier work on suspension mass cytometry, the Bodenmiller group has pioneered a spatial mass spectrometric approach called imaging mass cytometry (IMC) for the simultaneous and spatially-resolved quantification of approximately 50 markers on single cells. We employ IMC-based methods to study the cellular composition, spatial organization and regulation of tissue ecosystems, for insights into health and disease. 

An overview of the imaging mass cytometry workflow. From Giesen et al, 2014.

Imaging mass cytometry: measurement

In mass cytometry, we use a mass spectrometer to measure protein and/or transcript levels within cells, using antibodies or RNA probes linked to different metal isotopes. In imaging mass cytometry, we have extended this technology to solid tissue samples such as tumor biopsies, analyzing them spatially and capturing effects of the local microenvironment on tumor cells. We apply IMC in 2D and are also developing it in 3D. Mass cytometry can in principle reliably differentiate over a 100 probes.  We are continuously improving the speed, number of markers, resolution, reliability, sensitivity, biological interpretability and overall quality of high-dimensional single cell analysis.

2D imaging mass cytometry of a breast tumor sample. Image courtesy of Hart Jackson.

Imaging mass cytometry: analysis

Deriving relevant biological information from high-dimensional datasets is an ongoing challenge in systems biology. We explore the capabilities of existing statistical and image analysis tools to analyse imaging mass cytometry data in a meaningful way. We also develop software to process, visualize and analyze high dimensional IMC datasets. 

A depiction of multi-scale analysis of a tissue ecosystem. Reproduced from Schapiro et al, 2017.

Software

The Bodenmiller GitHub page has code and scripts for many projects.

The IMC workflow provides an overview on IMC data analysis approaches.

histoCAT

histoCAT is an open-source visualization and analysis toolbox for exploration of rich multidimensional IMC datasets. It enables parallel visualization of images and single cell phenotypic distributions and includes methods to identify and quantify cell-cell interactions within tissue. Read the paper.

histoCAT++

histoCAT++ is a later implementation with more advanced features. Read the paper.

steinbock

steinbock is a collection of tools for multi-channel image processing using the command-line or Python code. Supported tasks include IMC data preprocessing, supervised multi-channel image segmentation, object quantification and data export to a variety of file formats. The steinbock framework is fully documented, integrates well with downstream analysis packages and is available as platform-independent Docker container, ensuring reproducibility.

cytomapper

Multiplex imaging cytometry acquires spatially-resolved single-cell expression values of selected proteins in a sample. Cytomapper can be used to visualize the multiplexed read-outs obtained with this technique. The main functions of this package allow (i) the visualization of pixel-level information across multiple channels and (ii) the display of cell-level information (expression and/or metadata) on segmentation masks.

imcRtools

The imcRtools R/Bioconductor package supports the handling and analysis of imaging mass cytometry and other highly multiplexed imaging data. The main functionality includes reading in single-cell data after image segmentation and measurement, data formatting to perform channel spillover correction and a number of spatial analysis approaches.

AirLab

AirLab is a cloud-based laboratory-management tool for antibody-based research. You can use it to manage antibody stocks, antibody panels for CyTOF and Helios, and antibody-based experiments and results. Read the paper.

CellCycleTRACER

CellCycleTRACER permits correction of mass cytometry data for confounding effects of cell cycle and volume, as long as 4 measurement channels are left free for the relevant markers. Read the paper here.

Adnet

Adnet is a set of analysis scripts used for the paper “Influence of node abundance on signaling network state and dynamics analyzed by mass cytometry” by XK Lun et al. Read the paper here.

Protocols

The Bodenmiller lab protocols page is in progress.

People

Current Members

Bernd Bodenmiller
Prof. Dr.

Single-cell systems biology of cancer requires methods to measure multiple markers within tumors, quantitatively and at single-cell resolution. To this end, the Bodenmiller group has pioneered a single-cell mass spectrometric approach called mass cytometry (CyTOFTM). This technology allows the simultaneous and high-throughput quantification of approximately 50 markers, including proteins and their modifications, on single cells. We employ mass cytometry-based methods to study the cellular composition and regulation of tissue ecosystems, for insights into health and disease.

Franziska Heinzel
Administrative Assistant
John Abbey, B.Sc.
Research Assistant
Milad Adibi, Ph.D.
Senior Scientist
Maya Barben, Ph.D.
Scientific Manager
Alina Bollhagen, M.Sc.
Ph.D. student
Lena Cords, Ph.D.
Postdoctoral Fellow
Haithem Dakhli, Ph.D.
Postdoctoral Fellow

Drug development in breast cancer suffers from a lack of faithful models able to recapitulate breast cancer heterogeneity at the single-cell level. To overcome this limitation, we have generated a patient-derived breast cancer organoid biobank from fresh and frozen breast cancer samples. We are using this model to study the different populations composing the tumor and their response to drug treatments. It is our conviction that the study of the different cellular populations composing breast tumors, and their interactions, will lead to a better understanding of the tumor ecosystem and to the identification of therapies targeting specific cellular populations that could trigger tumor demise.

Sophie Déglise, M.Sc.
Research Assistant
Egle Ervin, Ph.D.
Postdoctoral Fellow
Bruno Palau Fernandez, B.Sc.
Research Assistant
Quentin Hellier, M.Sc.
Ph.D. Student
Denise Hengartner, Ph.D.
Teaching Officer
Tsuyoshi Hosogane, Ph.D.
Postdoctoral Fellow
Daria Lazic, M.Sc
Visiting Ph.D. Student
Lasse Meyer, M.Sc.
Ph.D. student
Adhvitha Premanand, B.Tech
Research Assistant
Tatjana Schmitz, M.Sc.
Ph.D. Student
Lydia Schulla, M.Sc.
Ph.D. Student
Natalie de Souza, Ph.D.
Scientific Officer
Nathan Steenbuck, M.Sc.
Ph.D. Student
Genki Usui, M.D. - Ph.D.
Postdoctoral Fellow
Stefanos Voglis, M.D.
Associate Scientist, Resident Doctor
James Whipman, M.Sc.
Ph.D. Student
Maria Ramos Zapatero, Ph.D.
Postdoctoral Fellow
Mengze Zhang, M.Sc.
Ph.D. Student
Shan Zhao, Ph.D.
Postdoctoral Fellow

Alumni

  • Miriam Rüfenacht , B.Sc.
    Master Student
  • Raza Ali, M.D./Ph.D.
    Group Leader, CRUK Cambridge Institute
  • Pierre Bost, Ph.D.
    Marie Curie Institute
  • Marcel Burger, Ph.D.
    Wissenschaftlicher Mitarbeiter Elemental Analysis, Solvias
  • Ruben Casanova
     
  • Raúl Catena, Ph.D.
    Senior Software Engineer, Leica Geosystems
  • Stephane Chevrier, Ph.D.
    Co-founder, Navignostics AG
  • Nicolas Damond, Ph.D.
    Postdoctoral Fellow
  • Esther Danenberg, M.Sc.
    Research Administrator, CRUK Cambridge Institute
  • Michelle Daniel, M.Sc.
    Navignostics AG
  • Nadine Dobberstein, M.Sc.
    Technician, InterAx Biotech
  • Nils Eling, Ph.D.
    Senior Data Scientist, Novartis
  • Jana Fischer, Ph.D.
    Co-founder, Navignostics AG
  • Catrina Friedrich, M.Sc.
    Master's Student
  • Charlotte Giesen, Ph.D.
    Head, Quality Assurance, Roche
  • Tobias Hoch, M.Sc.
    Research Associate, Empa
  • Alexandra Huber, B.Sc.
    Master's student, ETH Zurich
  • Hartland Jackson, Ph.D.
    Group Leader, Lunenfeld-Tanenbaum Institute
  • Andrea Jacobs
    Co-founder, Navignostics AG
  • Laura Kütt, Ph.D.
    Ph.D.
  • Pieter Langerhorst, M.Sc.
    Ph.D. Student, Radboud Institute
  • Xiaokang Lun, Ph.D.
    Postdoctoral Fellow, Wyss Institute
  • Constance Lyon, M.Sc.
    Current affiliation unknown
  • Markus Masek, M.Sc.
    Ph.D. Student, University of Zurich
  • Alaz Özcan, M.Sc.
    Ph.D. Student, University of Zurich
  • Serena Di Palma, Ph.D.
    Assistant Professor, Utrecht University
  • Swetha Raghuraman, M.Sc.
    Ph.D. Student, University of Muenster
  • Luca Räss, M.Sc.
    Scientist R&D Automatization, Biognosys AG
  • Anton Rau, M.Sc.
    Software Engineer
  • Leonor Schubert Santana, M.Sc.
    Master's Student
  • Denis Schapiro, Ph.D.
    Postdoctoral Fellow, Broad Institute
  • Yannik Severin, M.Sc.
    Ph.D. Student, ETH Zurich
  • Sujana Sivapatham, M.Sc.
    Research Associate, Immunos Therapeutics
  • Merrick Strotton, Ph.D.
    Prinicpal Scientist, high-plex imaging, UCB
  • Sandra Tietscher, Ph.D.
    Business Development Manager Sensor Innovation at Sensirion
  • Marco Tognetti, Ph.D.
    Senior Scientist, Biognosys AG
  • Sophie Tritschler, M.Sc.
    Ph.D. Student, Helmholtz Z., Muenchen
  • Eleni Tselempi, M.Sc.
    Senior Research Associate, Roche Innovation Centre
  • James Wade, Ph.D.
    QSP Expert, LYO-X GmbH
  • Johanna Wagner, Ph.D.
    Postdoctoral Fellow, NCT Heidelberg
  • Jonas Windhager, Ph.D.
    Bioimage analyst, SciLife Lab
  • Shuhan Xu, M.Sc.
    Ph.D. Student, MPI
  • Vito Zanotelli, Ph.D.
    Data Analytics Consultant, D ONE
  • Nevena Zivanovic, Ph.D.
    Research Scientist, Janssen Pharmaceuticals
Miriam Rüfenacht , B.Sc.
Master Student
Raza Ali, M.D./Ph.D.
Group Leader, CRUK Cambridge Institute
Pierre Bost, Ph.D.
Marie Curie Institute
Marcel Burger, Ph.D.
Wissenschaftlicher Mitarbeiter Elemental Analysis, Solvias
Ruben Casanova
Raúl Catena, Ph.D.
Senior Software Engineer, Leica Geosystems
Nicolas Damond, Ph.D.
Postdoctoral Fellow

I am combining highly multiplexed imaging, data analysis and experimental biology to characterize type 1 diabetes (T1D) progression and beta cell heterogeneity.

I did my PhD with Prof. Pedro Herrera at the University of Geneva, studying regeneration of insulin-producing beta cells by transdifferentiation of the closely related alpha cells. During my thesis, I used confocal microscopy and lineage tracing in complex transgenic mouse models and primary human pancreatic islets. This work sparked my interest into both T1D research and image analysis of single cells, two elements that are still at the center of my current projects.

In the Bodenmiller lab, I use imaging mass cytometry to analyze pancreas sections of individuals with or at risk for type 1 diabetes. The multiplexing capacity of this technology enables deep phenotyping of beta cells and of infiltrating immune cells, and mapping of their interactions. The goal of this project is to gain a better understanding of T1D development in the pancreas.

In parallel, I'm combining primary human islet culture with imaging mass cytometry to study how beta cell subpopulations respond to external stimuli relevant to T1D. The aim is to identify beta cell subsets that are more sensitive to destructive signals or, conversely, more responsive to regenerative cues. This work is supported by a JDRF postdoctoral fellowship.

Esther Danenberg, M.Sc.
Research Administrator, CRUK Cambridge Institute
Michelle Daniel, M.Sc.
Navignostics AG
Nadine Dobberstein, M.Sc.
Technician, InterAx Biotech
-
Nils Eling, Ph.D.
Senior Data Scientist, Novartis

My current research focuses on understanding the molecular changes over breast cancer organoid growth. I'm integrating imaging mass cytometry (IMC) with single-cell based statistical approaches to model spatial heterogeneity in organoids. As part of handling IMC data, I develop software for image and single-cell analysis.

In the past, I have completed my PhD in the Marioni group at the European Bioinformatics Institute and the CRUK Cambridge Institute at the University of Cambridge.

Link to website: nilseling.github.io
Link to Google Scholar: https://scholar.google.com/citations?user=kBIvrFoAAAAJ&hl=de
Link to Github: https://github.com/nilseling

Catrina Friedrich, M.Sc.
Master's Student
Charlotte Giesen, Ph.D.
Head, Quality Assurance, Roche
Tobias Hoch, M.Sc.
Research Associate, Empa

As a research assistant and former Master's student in the lab, I am currently analyzing IMC data with a focus on the immune system and its relation to the protein family of chemokines. I am investigating whether and to what extent the spatial context of chemokine expression can contribute to understanding differences in the immune landscape of patients.

Alexandra Huber, B.Sc.
Master's student, ETH Zurich
Hartland Jackson, Ph.D.
Group Leader, Lunenfeld-Tanenbaum Institute
Laura Kütt, Ph.D.
Ph.D.
Pieter Langerhorst, M.Sc.
Ph.D. Student, Radboud Institute
Xiaokang Lun, Ph.D.
Postdoctoral Fellow, Wyss Institute
Constance Lyon, M.Sc.
Current affiliation unknown
Markus Masek, M.Sc.
Ph.D. Student, University of Zurich
Alaz Özcan, M.Sc.
Ph.D. Student, University of Zurich
Serena Di Palma, Ph.D.
Assistant Professor, Utrecht University
Swetha Raghuraman, M.Sc.
Ph.D. Student, University of Muenster
Luca Räss, M.Sc.
Scientist R&D Automatization, Biognosys AG
Anton Rau, M.Sc.
Software Engineer
Leonor Schubert Santana, M.Sc.
Master's Student
Denis Schapiro, Ph.D.
Postdoctoral Fellow, Broad Institute
Yannik Severin, M.Sc.
Ph.D. Student, ETH Zurich
Sujana Sivapatham, M.Sc.
Research Associate, Immunos Therapeutics
Merrick Strotton, Ph.D.
Prinicpal Scientist, high-plex imaging, UCB
Sandra Tietscher, Ph.D.
Business Development Manager Sensor Innovation at Sensirion
Marco Tognetti, Ph.D.
Senior Scientist, Biognosys AG
Sophie Tritschler, M.Sc.
Ph.D. Student, Helmholtz Z., Muenchen
Eleni Tselempi, M.Sc.
Senior Research Associate, Roche Innovation Centre
James Wade, Ph.D.
QSP Expert, LYO-X GmbH
Johanna Wagner, Ph.D.
Postdoctoral Fellow, NCT Heidelberg

Selected Publications

Jonas Windhager, Ph.D.
Bioimage analyst, SciLife Lab
Shuhan Xu, M.Sc.
Ph.D. Student, MPI
Vito Zanotelli, Ph.D.
Data Analytics Consultant, D ONE

I like to develop high throughput methods together with tailored data analysis approaches to better understand how cells perceive their environment and interact.

Nevena Zivanovic, Ph.D.
Research Scientist, Janssen Pharmaceuticals

Lab Life

We scaled a (small) peak.
On the way back from a good dinner.
Something to celebrate!

Open Positions

We are always looking for excellent and motivated students/postdocs with a strong background in biological/biochemical/biomedical research or bioinformatics.

Prospective Ph.D. students can apply to our group via the Life Science Zurich Graduate School. Our group is a member of the Molecular Life Sciences, the Systems Biology and the Cancer Biology programs. For computational students, we offer shared Ph.D. positions with bioinformatics research groups.

Post-doctoral candidates should be highly motivated with a passion for science with great interest in quantitative biology, single-cell analysis and systems biomedicine. Our lab and collaborators provide an excellent and vibrant interdisciplinary environment, including systems (cancer) biology, biochemistry, analytical sciences, computer sciences and biomedical research. Candidates should have a demonstrated record of productivity during their Ph.D. studies, including publications in peer-reviewed journals (see DORA).

Applications should be directly sent to Bernd Bodenmiller, including your CV, Publication List and a short paragraph with your scientific interests and what you hope to achieve during your postdoctoral time.

All Publications

Recent Publications

Selected Publications

Teaching

We provide a range of master and semester projects for motivated students with interest in biological/biochemical/biomedical research or bioinformatics. Applications should be sent directly to Bernd Bodenmiller, including your CV and a short paragraph with your scientific interests.

Alternatively, for hands-on experience in the Bodenmiller lab, we offer the block courses BME331 & BME330 in the Spring and Autumn semester respectively.

For details of provided lectures, please see course descriptions at UZH and ETHZ.

Contact

Department of Quantitative Biomedicine
University of Zurich
Winterthurerstrasse 190
CH-8057 Zurich
Switzerland 

We are not easy to find, download our campus map.

Building / Room: Y38-M
phone: +41 44 635 48 25
fax: +41 44 635 68 79

Inst. f. Molecular Health Sciences
ETH Zurich
Otto-​Stern-Weg 7
CH-8093 Zürich
Switzerland



Building / Room: HPL H 16.2
phone: +41 44 633 29 20