Doctoral Students

Lisa Beumer

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.

Leonardo Boledi

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.

Sonja Germscheid

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.

Christian Gerloff

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

Viktor Grimm

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.

Jorge Guzmán

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.

Jazib Hassan

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.

Laura Helleckes

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.

Robin Hilgers

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.

 

Stephan Malzacher

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.

Charlotte Neubacher

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.

Bamidele Oloruntoba

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.

Melven Röhrig-Zöllner

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.

Mario Rüttgers

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

Giuliano Santarpia

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.

Anna Simson

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.

Felix Terhag

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.

Daniel Wolff

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.

Alper Yegenoglu

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.

Hu Zhao

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.

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