Our Research

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Clinical Data Science

Translational Bioinformatics

Projects

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Long-read sequencing - Part I

An introduction to long-read sequencing.

30 days All-Cause Readmission

Comparing neural-networks versus logistic regression for predicting readmission.

autoDISCERN

Assessing the quality of online health information with AI.

Single Cell RNA Sequencing

Cancer on the cell level.

Drug-Drug Interactions

Novel computational method for drug-drug interaction predictions which are an important consideration for patient treatment.

Automated Reports from Xrays

Using deep learning for automatically generated medical reports describing radiological images.

Recent Posts

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Data Traffic Control - make your data files human-friendly

Data files are the building materials we work with every day, all day. Working with them should be effortless.

Lab Hike: Adlisberg

Hiking through the May fog.

Genomics

Genomics has and continues to transform our world and our society.

Lab Hike: Mount Rigi

This is how our lab gatherings look like during the pandemic.

A Quest for Reproducible Data Science

Have you ever tried to reproduce someone else’s analysis and got different results?

Book Review: Causality, Probability and Medicine by Donald Gillies

I read Donald Gillies’ book “Causality, Probability and Medicine” a while ago and wanted to give a brief comment and overview of the …

Biobanking at USZ

The USZ is building a centralized biobank infracture primarily for liquid samples together with standardized processed regarding sample …

Cat videos and retrotransposons

Rambling about memes and junk DNA

DQBM opening

The newly formed department of Quantitative Biomedicine, which the Krauthammer lab is part of, celebrated a kick-off meeting in October …

3rd Brown Bag Lunch

Last week’s Brown Bag Lunch was hosted by the Medical Informatics Group of University of Zurich. Prof. Krauthammer provided an …

Secure Data Exchange Using Distributed Ledger Technologies

Secure data exchange and integration is essential in medical informatics as it enables and accelerates evidence based medicine. …

Outing Around the Lake

Whereas our first Lab outing toured the old city center, our second excursion explored Zurich’s lake. Our day began at the head …

Lab Outing: City Tour

The first group activity of our newly founded group was to take a walk in the city we all work in and get acquainted with its history …

2nd Brown Bag Lunch

Last week, the Research Data Service Center (RDSC) of UniSpital Zürich (USZ) hosted the 2nd event of our jointly conducted series of …

Von der Forschung profitieren auch die Patientinnen und Patienten

Das UniversitätsSpital Zürich (USZ) engagiert sich stark im Bereich Forschung und Lehre. Im Jahre 2017 standen verschiedene Projekte im …

Meet the Team

Principal Investigator

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Michael Krauthammer

PI

Clinical Data Science, Translational Bioinformatics, Cancer Genetics

Senior Researchers and Postdocs

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Ahmed Allam

Senior Researcher

Machine Learning

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Zsolt Balázs

Postdoc

Bioinformatics, Cancer Genomics, Long-read sequencing, cfDNA sequencing

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Farhad Nooralahzadeh

Postdoc

NLP, Machine Learning, Information Extraction, Domain Adaptation

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Aron Horvath

Postdoctoral Researcher

Finding solutions for biology motivated problems from an engineering point of view, Leveraging ICT for medicine, IoT & Smart Sensors

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Daniel Trejo Banos

Postdoctoral researcher

Time series analysis, Bayesian inference, Machine learning, Decision support systems for healthcare

Grad Students

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Kyriakos Schwarz

PhD Student

Bioinformatics, Computational Pharmacology, Deep Learning

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Ivna Ivanković

PhD Student

Bioinformatics, Cancer Genomics

Research Software Engineers

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Laura Kinkead

Senior Research Software Engineer

Data Science Tooling, Reproducibility, Machine Learning

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Mark McMahon

Junior Research Software Engineer

Data Science Tooling, Statistics, Machine Learning

Research Assistants

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Matteo Berchier

Research Assistant

Data Science, Human Disease Monitoring, IoT & Smart Sensors

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Giulia Rathmes

Physician

Epidemiology, Biostatistics, Machine Learning for Health Care, Internal Medicine

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Todor Gitchev

Senior Research Assistant

Bioinformatics, Applied Mathematics, Genomics & Epigenetics, Algorithms

Administrators

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Claudia Stenger

Administrative Assistant

Affiliated Researchers

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Fabio Rinaldi

Research Group Leader

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Jan Bartussek

Research Group Leader

Physiology and Pathophysiology, Nonlinear Dynamics, Mechanistic Modelling

Alumni

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Nicolas Perez

Postdoc

Machine Learning, NLP, Image Processing

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Nivitha Punniyamoorthy

BSc student

Bioinformatics, Molecular biology

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Matthias Dittberner

Data Scientist

Artificial Intelligence, Causal Inference

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Anna Sintsova

Postdoc

Bioinformatics, Microbiome

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Leopold Franz

Research Assistant

Machine Learning for Health Care

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Lukas Bachmann

Physician

Internal Medicine, Health Economics, Machine Learning in Health Care

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Siyuan Luo

MSc student

Bioinformatics, Machine learning

Mascots

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Globi

Senior Data Masseuse

Sleeping, Hunting birds and mice, Scratching trees

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Oscar

The Last Airbender

Jumping all over the place 🦘, Knocking over Chess pieces ♟️♕, remote control 📺 and everything in front of him, Playing soccer ⚽ and chasing butterflies 🦋, Sleeping 😴 in front of laptops 💻, Participating in origami 📄🏮 and crafting activities 🧶🎨

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Sebastian

Director of Box Exploration

Kinematics of toy mice, Hiding in cardboard boxes

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Simon

Chief Napping Officer

Fluid dynamics, Burrowing under blankets

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Teuta

Bird Flight Coordinator

Belly rubs, Staying at home, Hanging around with her dog

Job Opportunities

We are looking for Masters Students!

We are currently looking for Master’s students in the field of bioinformatics for the following topics Data integration in Cancer …

Contact

  • Michael Krauthammer

    Chair of Medical Informatics

    Department of Quantitative Biomedicine

    Schmelzbergstrasse 26

    8006 Zürich

    Building/Room: SHM 26 C2

  • Claudia Stenger

    Administrative Assistant

    Winterthurerstrasse 190

    CH-8057 Zürich

    Building/Room: Y38-M-02

    phone: +41 44 635 66 31