Doctoral Researchers

Title of the project

High dimensional data-driven study on the impact of genetic variations on plant metabolism.

Supervisor

Jun-Prof. Dr. Anna Matuszyńska
Prof. Dr. Wolfgang Wiechert

I joined the HDS-LEE program because...

I would like to expand my knowledge about data science, particularly in the context of my PhD project, including plant biology issues with plant metabolism and genetics. HDS-LEE allows me to exchange with researchers and students about the methods and tools to manipulate data and extract information from them. I also would like to get a broader view of the fields related to data science in this international environment. 

Title of the project

Data-Driven Approaches to Rational Designs of Covalent Drugs

Supervisor

Prof. Dr. Giulia Rossetti

Prof. Dr. Paolo Carloni

I joined the HDS-LEE program because...

I would like to apply and expand my knowledge in the field of data science/artificial intelligence in the context of pharmaceutical issues. I appreciate the international and interdisciplinary environment and look forward to developing professionally and personally during the PhD project.

Title of the project

Data Science in Nuclear Verification - Extracting Verification-relevant Information from Geospatial Big Data

Supervisor

Dr. Irmgard Niemeyer

Prof. Dr. Benjamin Berkels

I joined the HDS-LEE program because...

I would like to benefit from an extensive transferrable skill program of leading researchers to pursue my interest in the fascinating and challenging field of data science especially in image analysis and to exchange ideas with other PhD students in an interdisciplinary environment.

Title of the project

Process-Inspired Data Acquisition for Autonomous Ice Exploration Robots on Earth and Beyond

Supervisor

Prof. Dr. Julia Kowalski

Prof. Marek Behr, Ph.D.

Prof. Dr. Stefanie Elgeti

I joined the HDS-LEE program because...

I found a challenging project that puts into practice my knowledge of mathematical modeling, numerical simulation and data analysis.

Title of the project

Adaptive data reduction techniques for extreme-scale atmospheric models in climate simulation

Supervisor

Dr.-Ing. Achim Basermann

Prof. Dr.-Ing. Gregor Gassner

Prof. Dr. Astrid Kiendler-Scharr

Dr. Johannes Holke

I joined the HDS-LEE program because...

the interdisciplinary environment and mentoring of HDS-LEE provide an excellent opportunity to extend my data science knowledge and to work collaboratively on future-oriented topics.

Title of the project

Characterization of cloud variability through novel satellite-based observations and its application for questions related to solar energy

Supervisor

Prof. Dr. Susanne Crewell

PD Dr. Martin Georg Schultz

Prof. Dr. Stephanie Fiedler

I joined the HDS-LEE program because...

I am passionate about developing deep AI architectures to explore Earth system data and Energy's profound interrelationship. Therefore I find the interdisciplinary platform of HDS-LEE to be handy where I can grow and share with like-minded researchers. I am also very excited to learn from the guidance and courses the program has to offer.

Watch my video about

Can satellite images provide supervision for cloud systems characterization

Title of the project

Scenario generation for optimization-based design and operation of multimodal energy systems under uncertainty

Supervisor

Prof. Alexander Mitsos, Ph. D.

Prof. Dr. Raul Fidel Tempone

Dr.-Ing. Manuel Dahmen

I joined the HDS-LEE program because...

I like the idea of building connections between different fields of research through common methods and idea.

Title of the project

Data mining of Discrete Dislocation Dynamics (DDD) simulations and machine learning to accelerate the design of new materials for extreme conditions

Supervisor

Prof. Dr. Stefan Sandfeld

Prof. Dr. Axel Klawonn

I joined the HDS-LEE program because...

I would like to be a part of the data science community that bridges diverse scientific disciplines. HDS-LEE provides researchers with great opportunities to share knowledge and ideas through a variety of courses and events.

Title of the project

Optimal data-driven models for optimization-based design of energy systems

Supervisor

Prof. Alexander Mitsos, Ph. D.

Prof. Dr. Martin Grohe

Dr.-Ing. Manuel Dahmen

I joined the HDS-LEE program because...

I want to be on the forefront of scientific and technological developments.

Title of the project

Physics-informed machine learning for geohazard and climate change response engineering

Supervisor

Prof. Dr. Julia Kowalski

I joined the HDS-LEE program because...

I hope to advance my knowledge in data science with the wide range of courses and trainings offered by HDS-LEE. Also, it is a great opportunity to get in touch with young scientists from different disciplines.

Title of the project

Machine Learning and Bayesian Methods in Neuroscience

Supervisor

Prof. Dr. Kerstin Konrad

Prof. Dr. Raul Fidel Tempone

I joined the HDS-LEE program because...

It enables an intensive exchange of experiences and concepts in data science across various research communities. Thereby, it provides new perspectives and inspires new approaches for research and applied problems. At the same time, HDS-LEE offers PhD students in-depth training ranging from data engineering topics, such as data versioning, to method-related topics, such as hyperparameter optimization in deep learning.

View an article about his research at www.helmholtz-hida.de.

Title of the project

Machine learning-based forecasting and scheduling optimization for energy systems under uncertainty

Supervisor

Prof. Alexander Mitsos, Ph. D.

Prof. Dr. Raul Fidel Tempone

Dr.-Ing. Manuel Dahmen

I joined the HDS-LEE program because...

additionally to the interesting trainings, courses and seminars about latest research topics, I enjoy the exchange within the interdisciplinary group of young, motivated researchers very much.

Title of the project

Data-driven Agent-based modelling for infectious diseases

Supervisor

Prof. Dr. Andreas Schuppert

Dr.-Ing. Achim Basermann

I joined the HDS-LEE program because...

it offers an excellent opportunity to work with other young and motivated researchers while working on a highly relevant and interesting research topic.

Title of the project

Predicting the flow in patient-specific aneurysm geometries using convolutional neural networks

Supervisor

Prof. Dr. Axel Klawonn

Dr.-Ing. Achim Basermann

I joined the HDS-LEE program because...

I believe that helping people is the most rewarding effort in life and my work in the program contributes a lot to it.

Title of the project

Structure identification of mesoscopic biological interaction networks from data

Supervisor

Prof. Dr. Andreas Schuppert

Prof. Dr. Martin Grohe

I joined the HDS-LEE program because...

it allows me to study complex systems on a highly interdisciplinary environment. The projects are cutting edge and there is a strong emphasis on the development of advanced computational skills, essential in any field of applied science.

Title of the project

Hybrid process modeling combining mechanistic transport equations with machine learning for thermodynamic equilibria

Supervisor

Prof. Dr. Wolfgang Wiechert

Prof. Marek Behr, Ph.D.

Dr. Eric von Lieres

I joined the HDS-LEE program because...

of my interest towards data science. I come from a background of applied mechanical engineering and in the past projects I have been working on the optimization problems that gave me motivation to further dive deep into this field. The current project provides me with an opportunity to explore the different aspects of machine learning on a very complex physical phenomenon and I hope by the end of this project I will be able to apply these techniques on various other applications.

Title of the project

Quantitative strain library phenotyping and bioprocess optimisation enabled by laboratory automation, process modelling and microscale cultivation

Supervisor

Prof. Dr. Wolfgang Wiechert

Prof. Dr. Marco Oldiges

Dr. Eric von Lieres

I joined the HDS-LEE program because...

I want to broaden my knowledge on data science and exchange ideas with other young data scientists in an interdisciplinary environment.

Title of the project

Prediction of magnetic materials for energy and information combining data-analytics and first-principles theory

Supervisor

Prof. Dr. Stefan Blügel

Prof. Dr. Ira Assent

Dr. Daniel Wortmann

I joined the HDS-LEE program because...

I believe that interdisciplinary collaboration in science will give rise to many innovations in the future and I would like to discover the possibilities which modern data analysis techniques offer in modern research.

 

Title of the project

Statistic and data-based methods for energy system analysis and modelling

Supervisor

Jun. Prof. Dr. Dirk Witthaut

Prof. Dr. Raul Fidel Tempone

Prof. Dr. Astrid Kiendler-Scharr

I joined the HDS-LEE program because...

I would like to understand how we can implement and operate future renewable energy systems that are governed by different heterogeneous time series and their complex interactions.

Title of the project

Blood Flow: Bridging the Micro-Macro Gap Using Scientific Machine Learning

Supervisor

Prof. Dr. Axel Klawonn

I joined the HDS-LEE program because...

I am looking forward to exchanging ideas with other young researchers and acquiring new knowledge in the field of data science. Also, I want to remain active in research and contribute to the newest developments in numerical modeling.

Title of the project

An approach to tracking the provenance of data acquisition and analysis in neuroscience

Supervisor

Prof. Dr. Sonja Grün

Prof. Dr. Stefan Decker

Prof. Dr. Björn Usadel

Dr. Michael Denker

I joined the HDS-LEE program because...

I want to get training in data science in the context of my main scientific interest: neuroscience.

Title of the project

Standardised data acquisition in biocatalysis according to the FAIR principles

Supervisor

Prof. Dr. Wolfgang Wiechert

Prof. Dr. Julia Kowalski

Prof. Dr. Dörte Rother

I joined the HDS-LEE program because...

I want to get the opportunity to learn about data science from leading scientist and meet other PhD students working in this field.

Title of the project

Data-driven Dynamic Reduced-Order Modeling for Energy Systems Optimization

Supervisor

Prof. Alexander Mitsos, Ph. D.

Prof. Dr. rer. nat. Uwe Naumann

Dr.-Ing. Manuel Dahmen

I joined the HDS-LEE program because...

I am fascinated by and want to learn more about the application of machine learning and optimization in various fields of research.

Title of the project

Machine Learning Enhanced Multi-Scale Modeling of Ice Deformation and Melting

Supervisor

Prof. Dierk Raabe

Prof. Julia Kowalski

Dr. Jaber Rezaei Mianroodi

I joined the HDS-LEE program because...

I joined the HDS-LEE program because it provides a precious opportunity to conduct my research under the supervision of the most professional and remarkably competent scholars in the field of data science.
On the other hand, through HDS-LEE program, It is feasible for me to be in touch with other young researchers working in the same academic area as mine

Title of the project

Exploitation of street canyon observations for inner city air quality forecasts and emission optimization

Supervisor

Prof. Dr. Astrid Kiendler-Scharr

Prof. Dr. Axel Klawonn

Dr. Anne Caroline Lange

I joined the HDS-LEE program because...

it offers a great opportunity to actively participate in a new development in science in connection with politically relevant topics.

Title of the project

Land surface-subsurface modelling and data assimilation over Africa

Supervisor

Prof. Dr. Harry Vereecken

Prof. Dr. Harrie-Jan Hendricks Franssen

Dr.-Ing. Achim Basermann

I joined the HDS-LEE program because...

of the opportunity it offers to advance my knowledge in my chosen career path. While theoretical knowledge advancement is expected, HDS-LEE positions itself to develop a "total researcher" through the availability of soft-skills trainings, seminars and retreats that develop not only academic life but social life as well.

Title of the project

Scientific discovery in earth sciences utilizing machine learning technologies

Supervisor

Prof. Dr. Stefan Kollet

I joined the HDS-LEE program because...

I want to contribute to improving our understanding of earth system processes by identifying previously unknown correlations using machine learning technologies.

Title of the project

Unsupervised Learning for Biogenic Emissions and their Interaction with Air Quality

Supervisor

Prof. Martin Schultz

Prof. Jürgen Gall

Dr. Scarlet Stadtler

I joined the HDS-LEE program because...

HDS-LEE consists of students from different background and tackling vivid challenges of different sector. It gives other dimensions to our research and analytical skills for our research experience.

Title of the project

Domain and task transfer learning methods for computational medicine

Supervisor

Prof. Dr. Ira Assent

I joined the HDS-LEE program because...

 it gives me the opportunity to delve into my research interests while being immersed in an interdisciplinary and international contest.

Title of the project

Graph-Based Machine Learning for Computer-Aided Molecular Design

Supervisor

Prof. Alexander Mitsos, Ph. D.

Prof. Dr. Martin Grohe

Dr.-Ing. Manuel Dahmen

I joined the HDS-LEE program because...

I like the idea of exchanging knowledge with young researchers from different research fields and combining the latest developments in data science with domain-specific knowledge to address current challenges in chemical and energy systems.

Watch my video about

Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks

Title of the project

Performance of Dense and Sparse Tensor Operations in Applications

Supervisor

Dr.-Ing. Achim Basermann

Prof. Dr. Axel Klawonn

Dr. Jonas Thies

I joined the HDS-LEE program because...

I want to focus on interesting inter-disciplinary problems and to work together with people from different research fields.

Title of the project

Data-Driven Analysis of Medical and Simulation Data for Improved Patient Treatment in the Human Respiratory System

Supervisor

Dr. Andreas Lintermann

Prof. Dr.-Ing. Wolfgang Schröder

I joined the HDS-LEE program because...

I get the chance to network with researchers from different fields but with similar challenges.

View an article about his research at www.helmholtz-hida.de

Title of the project

Geometry-aware image analysis for microfluidic live-cell experimentation

Supervisor

Prof. Dr. Benjamin Berkels

Prof. Dr. Wolfgang Wiechert

Dr. Katharina Nöh

I joined the HDS-LEE program because...

I am obsessed with data science and I would like to know more about different applications of it in image processing.

Title of the project

Prediction of ligand protein interactions and brain signalling cascades using machine learning approaches: olfaction as a test scenario.

Supervisor

Jun-Prof. Dr. Mercedes Alfonso Prieto

Prof. Dr. Marc Spehr

Prof. Dr. Alejandro Giorgetti

I joined the HDS-LEE program because...

taking into account my previous experiences, trainings and desire for the near future, in my opinion HDS-LEE program will fit perfectly in my background and with my goals. Moreover, the program is shaped so as to give me the opportunity to improve in my field and to learn very useful notions of related fields, helping me to become a well-rounded scientist.

Title of the project

Hybrid Data Assimilation for Applications in Cryosphere Physics

Supervisor

Prof. Dr. Julia Kowalski

Dr.-Ing. Achim Basermann

Dr. Norbert Klitzsch

I joined the HDS-LEE program because...

I want to benefit from the trainings and the interdisciplinary supervision provided by the graduate school to advance my research.

Title of the project

Automatic Experimentation and Discovery in Bioprocess Development

Supervisor

Prof. Wolfgang Wiechert

Prof. Alexander Mitsos

Dr. Eric von Lieres

I joined the HDS-LEE program because...

I am thrilled to work with inspiring researchers from a variety of disciplines. Together with my fellow members, I aim to develop shared Data Science methodology and apply it to my research in Life Sciences.

Title of the project

A Framework for meta Data Analysis and Interactive Exploration of large FAIR data sets 

Supervisor

Prof. Dr. Björn Usadel

Prof. Dr. Stefan Decker

Prof. Dr. Sonja Grün

I joined the HDS-LEE program because...

In our present world of automation, cloud computing, algorithms, artificial intelligence and big data, data science and machine learning are more relevant.  This project is a collection of all of these expertise and requirements. HDS-LEE program is an excellent platform to expertise in all of these areas. I am fascinated with the blending of many different disciplines and dedicated to be an expert in this field with international exposure.  

Title of the project

Analysis of time series of multispectral satellite imagery for inferring plant state and growth

Supervisor

Prof. Dr.-Ing. Ribana Roscher

I joined the HDS-LEE program because...

it brings interdisciplinary data scientists together and supports to exchange ideas.

Watch my video about

jUngle-Net: Explainable ML to Gain Insights into the Appearance of Wilderness in Satellite Imagery

Title of the project

High-Performance Data Pooling for Robust Deep Flux Profiling

Supervisor

Prof. Dr. Wolfgang Wiechert

Prof. Dr. Raul Tempone

Dr. Katharina Nöh

Jun.-Prof. Dr. Sebastian Krumscheid

I joined the HDS-LEE program because...

I like computational statistics and it's application to large data problems. Also, I hope for good scientific exchange with friendly colleagues and further education.

Title of the project

Power Procurement of Cellular Wireless Networks under Uncertain Renewable Power Generation

Supervisor

Prof. Raul Tempone

I joined the HDS-LEE program because...

I joined the HDS-LEE program because: I would like to be at the forefront of interdisciplinary, data-driven approaches toward solving modern world problems while interacting with my scientific peers in a highly stimulating environment 

Title of the project

Uncertainty Estimation of Deep Neural Network Predictions

Supervisor

Dr.-Ing. Achim Basermann

Prof. Dr. Axel Klawonn

Dr. Martin Siggel

I joined the HDS-LEE program because...

It allows me to research at the intersection between Data Science and the three future-oriented domains Life, Earth and Energy.

Title of the project

Integrating simulations and explainable artificial intelligence for power system resilience

Supervisor

Prof. Dirk Witthaut

I joined the HDS-LEE program because...

it offers training in data science and facilitates exchange with other PhD students both in an interdisciplinary context.

Title of the project

Model hierarchy for bioreactors: From physics-based to data-driven approaches

Supervisor

Prof. Marek Behr

Dr. Eric von Lieres

I joined the HDS-LEE program because...

I see the program as an opportunity to put together my background in engineering and my interest in data science. I hope to broaden my knowledge in data science through the courses offered by the program and meet other young researchers in an international and interdisciplinary environment.

Title of the project

Binding Interface Classification Employing Image Recognition

Supervisor

Prof. Dr. Holger Gohlke

Prof. Dr. Benjamin Berkels

Jun.- Prof. Dr. Giulia Rossetti

I joined the HDS-LEE program because...

the research topic is highly interesting and on the forefront of technical development in the data science community.

Title of the project

Development of a surrogate machine learning model for the acceleration of first-principles calculations

Supervisor

Prof. Dr. Stefan Blügel

Prof. Dr. Ira Assent

Dr. Philipp Rüßmann

I joined the HDS-LEE program because...

There is no more time for science as usual. Tremendous technological challenges demand that we accelerate scientific discovery. Data science and artificial intelligence can be the engine for that. New kinds of experts must be trained who can integrate data science into all scientific domains. With the HIDA data science schools, the Helmholtz Society is doing exactly that. I am excited to be a part of this transformation!

Title of the project

Efficient Importance Sampling via Stochastic Optimal Control and Machine Learning

Supervisor

Prof. Dr. Raúl Tempone

I joined the HDS-LEE program because...

I am hoping for an intense and interdisciplinary discourse which allows me to advance my research and gives me insight into exciting applications of data science.

Title of the project

Neural Networks as reduced models for high-fidelity flow simulations in bioreactors and energy-efficient manufacturing processes

Supervisor

Prof. Marek Behr, Ph.D.

Dr.-Ing. Achim Basermann

Prof. Dr. Stefanie Elgeti

I joined the HDS-LEE program because...

I want to enhance my knowledge of simulation with data science techniques and to work with other researchers from different fields in a friendly and collaborative atmosphere.

Title of the project

Meta-learning and hyper-parameter Optimization in Artificial and Biological Networks

Supervisor

Prof. Dr. Michael Herty

Prof. Dr. Abigail Morrison

I joined the HDS-LEE program because...

I like to work in an interdisciplinary field. The HDS-LEE gives me an opportunity to meet and discuss with scientists with different backgrounds. This helps me to enrich my knowledge in the data sciences and to advance my own work. Additionally, the HDS-LEE offers a variety of courses, seminars and workshops to develop soft-skills.

Title of the project

Closing the Gap between Athmospheric Model-based and Observation-based Data Using Deep Learning

Supervisor

Prof. Stefan Kollet

Prof. Andreas Hense

I joined the HDS-LEE program because...

I'm enthusiastic to learn about the interdisciplinary applications of AI in a variety of data science disciplines.

Title of the project

Probabilistic Simulation and Uncertainty Quantification for Earth Surface Processes

Supervisor

Prof. Dr. Julia Kowalski

Prof. Dr. Klaus Reicherter

I joined the HDS-LEE program because...

I want to learn about advanced data science methodologies and technologies from leading researchers.

Title of the project

Probabilistic Machine Learning Methods for Digital Twins of Multi-Modal Energy Systems

Supervisor

Prof. Dr.-Ing. Andrea Benigni

Prof. Alexander Mitsos, Ph.D.

I joined the HDS-LEE program because...

I believe that the exchange between distinct research fields offers the possibility for the most creative and successful scientific progress.