Helmholtz Information & Data Science School:

HIDSS4Health

Tomorrow's medicine needs data scientists. Researchers at the Helmholtz Information & Data Science School for Health (HIDSS4Health) are helping to develop the health trends of the future.

Unique research alliance for medicine

Three renowned institutions are involved in the Helmholtz Information & Data Science School for Health (HIDSS4Health): the Karlsruhe Institute of Technology (KIT), the German Cancer Research Center (DKFZ) and the University of Heidelberg. Here, a total of more than 40 research groups with a unique research spectrum offer an optimal starting point for solving central challenges in the field of health.

HIDSS4Health Homepage

I loved how interdisciplinary it was at HIDSS4Health. Even though it has become something of a buzzword, the interplay between multiple disciplines was in fact an everyday reality in my PhD.

Alexandra Walter


was conducting research at HIDSS4Health to use data and artificial intelligence to make radiation therapy even more precise. Read more about her project

Mission

The goal of HIDSS4Health is to train and promote the best young talents at the interface between Data Science and health. HIDSS4Health offers a structured doctoral program with close integration into an interdisciplinary network of leading scientists from both the data and life sciences.

Research Areas

  • Imaging & Diagnostics
  • Surgery & Intervention 4.0
  • Models for Personalized Medicine
  • Public Health

Selection of doctoral projects

 

More about the research at HIDSS4Health

Reports on HIDSS4Health

Learn more about the research projects at HIDSS4Health and the School's profile here!

 

Building Bridges between Medicine and Data Science

At HIDSS4Health, health and data science research projects are brought together in a unique doctoral program – with synergistic effects for the participating cooperation partners, the international doctoral students, and medical progress. An insight into an unusual graduate school.

 

Programming Sensitivity: Robot Arms in the Operating Room

How can humans and robots cooperate to perform tricky surgeries – such as removing a gallbladder? Mechanical engineer Paul Maria Scheikl is conducting research at HIDSS4Health to determine how robot arms need to be programmed for such uses. To train robot AI, he has to integrate practical experience from the operating room.

 

Software Assistant for Oncologists

At the German Cancer Research Center, HIDSS4Health-researcher Paula Breitling contributes to the development of a software that aims to help doctors recommend appropriate therapies. This could allow more patients to benefit from custom-fit treatment.

 

Fighting Cancer with Artificial Intelligence

How can diseased tumor tissue be destroyed in a targeted manner while preserving the healthy tissue immediately surrounding it? Alexandra Walter uses data science and artificial intelligence to make radiation therapy even more precise.

Im Gesundheitsbereich sind Data Science und Robotik künftig nicht mehr wegzudenken. (Photo: Shutterstock/MAD.vertise)

Curriculum

  • Supervision: Intensive feedback and advice throughout the entire duration of the project by an interdisciplinary Thesis Advisory Committee
  • Course offerings: interdisciplinary introductory course "Data Science & Health" and lecture "Advanced Topics in Data Science & Health", opportunity to take advantage of a wide range of specialization courses with a data and/or life science orientation
  • International exchange opportunities: a financed mobility phase of about three months either at a leading international university or at a foreign (partner) institution
  • Personal competence training (e.g. courses on leadership, language, publishing in scientific journals, project management, presentation) and comprehensive support regarding internationalization, networking and career development
  • Interdisciplinary work with other doctoral students on Cross Theme Topics
  • Certificate of completion as "Data Scientist" with a confirmation of specialization in the health-related application area

Funding and Duration of the Program

The program will run for three years and offers full funding. The remuneration during the term of the program corresponds to the tariff level E13 of the TVöD or TV-L (depending on the institution where the employment takes place).

Application & Further Information

Each year, up to eight doctoral researchers can start the program. The research areas are located in Karlsruhe and Heidelberg. All courses are in English. 

 

Contact

Thomas Gerhardy

Thomas Gerhardy

Scientific Coordinator HIDSS4Health

 

thomas.gerhardy@kit.edu

 

KIT – The Research University in the Helmholtz Association

Hermann-von-Helmholtz-Platz 1

76344 Eggenstein-Leopoldshafen

Balint Kovacs

Balint Kovacs

Scientific Coordinator HIDSS4Health

balint.kovacs@dkfz-heidelberg.de

German Cancer Research Center (DKFZ)

Foundation under Public Law

Im Neuenheimer Feld 280

69120 Heidelberg

Our Doctoral Researchers

Paula Breitling
Doctoral Researcher HIDSS4Health

Contact

Paula Breitling
Project title: "Augmenting physician workflow to personalize care decisions by predicting next steps and informational needs in (precision) oncology"

Institution: KIT

Data science PI: Prof. Dr. Michael Beigl

Life science PI: Prof. Dr. Stefan Fröhling

Gabriela Ciolacu
Doctoral Researcher HIDSS4Health

Contact

Gabriela Ciolacu
Project Title: Optimizing Resource Planning in Surgical Wards Through Data-Driven Resilience

Institution: KIT

Data science PI: Prof. Dr. Emilia Grass

Life science PI: Dr. Sabine Jung-Klawitter

Charles Hatfield
Doctoral Researcher HIDSS4Health

Contact

Charles Hatfield
Project Title: Climate Change, Infectious Diseases, and Environmental Hazards: Urban Epidemiological Methods for Emergent Health Threats

Institution: KIT/UNIHD

Data science PI: Prof. Dr. Michael Beigl

Life science PI: Prof. Dr. Joacim Rocklöv

Yejin Kwak
Doctoral Researcher HIDSS4Health

Contact

Yejin Kwak
Project Title: Robust knowledge discovery of cell interactions in multichannel imaging flow cytometry and live cell imaging

Institution: KIT

Data science PI: Prof. Dr. Ralf Mikut

Life science PI: PD Dr. Dr. Daniel Hübschmann

Thomas Lautenschlager
Doctoral Researcher HIDSS4Health

Contact

Thomas Lautenschlager
Project Title: Self-Supervised Learning for the Automatic Evaluation of Toxicity Tests

Institution: KIT

Data science PI: Prof. Dr. Ralf Mikut

Life science PI: Dr. Thomas Dickmeis

TAC Member: Dr. Sabine Jung-Klawitter

Maximilian Neumann
Doctoral Researcher HIDSS4Health

Contact

Maximilian Neumann
Project Title: Topological Data Analysis for Single-Cell Omics and Applications to Biological Dark Matter

Institution: UNIHD
Data science PI: PD Dr. Andreas Ott
Life science PI: Prof. Dr. Anne-Kristin Kaster

Luise Nottmeyer
Doctoral Researcher HIDSS4Health

Contact

Luise Nottmeyer
Project Title: Investigating Environmental Dimesions of Antimicrobial Resistance Spread

Institution: KIT/UNIHD
Data science PI: Prof. Dr. Melanie Schienle
Life science PI: Prof. Dr. Joacim Rocklöv

Tim Ortkamp
Doctoral Researcher HIDSS4Health

Contact

Tim Ortkamp
Project Title: Inverse Radiotherapy Treatment Planning using ML Outcome Prediction Models

Institution: KIT

Data science PI: Martin Frank

Life science PI: Oliver Jäkel

Beatriz Isabel Paquim do Cruzeiro
Doctoral Researcher HIDSS4Health

Contact

Beatriz Isabel Paquim do Cruzeiro
Project Title: Fragments Filtration for Helium Radiography and Computed Tomography

Institution: KIT

Data science PI: Prof. Dr. Maria Francesca Spadea

Life science PI: Prof. Dr. Oliver Jäkel

Johannes Scherer
Doctoral Researcher HIDSS4Health

Contact

Johannes Scherer
Project Title: Multimodal Decision Support for Postoperative Monitoring after Brain Tumor Surgery

Institution: DKFZ

Data science PI: Prof. Dr. Klaus Maier-Hein

Life science PI: Prof. Dr. Jan-Oliver Neumann

Katrin Schrüfer
Doctoral Researcher HIDSS4Health

Contact

Katrin Schrüfer
Project Title: Data-Based Outlier Detection and Risk Validation for Multi-Class Prediction in Newborn Screening

Institution: UniHD

Data science PI: Prof. Dr. Vincent Heuveline

Life science PI: Prof. Dr. Stefan Kölker

Jiale Wei
Doctoral Researcher HIDSS4Health

Contact

Jiale Wei
Project Title: Rooting Medical Decisions in Multi-Modal Guidelines

Institution: KIT

Data science PI: Prof. Dr. Rainer Stiefelhagen

Life science PI: Prof. Dr. Dr. Jens Kleesiek

Pascal Hansen
Doctoral Researcher HIDSS4Health

Contact

Pascal Hansen
Project Title: Knowledge Graph Reasoning for Generalized Surgical AI

Institution: DKFZ

Data science PI: Prof. Dr. Lena Maier-Hein

Life science PI: Prof. Dr. Karl-Friedrich Kowalewski 

Yichao Liu
Doctoral Researcher HIDSS4Health

Contact

Yichao Liu
Project title: Using Machine Learning for Citizen Science Surveillance of Ticks and Prediction of Tick-borne Diseases with Climate Change

Institution: UniHD/KIT

Data Science PI: Prof. Dr. Rainer Stiefelhagen

Life Science PI:Prof. Dr. Joacim Rocklöv

TAC Member: Prof. Dr. Ulrich Köthe

Julian Mierisch
Doctoral Researcher HIDSS4Health

Contact

Julian Mierisch
Project Title: Model-Informed Machine Learning for the Prediction of Postoperative Atrial Fibrillation and its Targeted Prevention

Institution: KIT

Data science PI: PD Dr. Axel Loewe

Life science PI: Dr. Christian Niklas & Prof. Dr. Rosa Klotz

Barbora Nemcova
Doctoral Researcher HIDSS4Health

Contact

Barbora Nemcova
Project Title: Mathematical Modelling and Probabilistic Forecasting of Infectious Disease Spread

Institution: KIT

Data science PI: Prof. Dr. Melanie Schienle

Life science PI: Dr. Johannes Bracher

Björn Plonka
Doctoral Researcher HIDSS4Health

Contact

Björn Plonka
Project Title: Close Proximity Human-Robot Interaction in Medical Interventions - Combining Robot Control and Data Science Approaches

Institution: KIT

Data science PI: Prof. Dr. Katja Mombaur

Life science PI: Prof. Dr. Jan Stallkamp

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