Scientists

Enrico is a doctoral researcher in the Software Engineering group at the Department of Computer Science, Humboldt-Universität zu Berlin. He holds a B.Sc. and M.Sc. in Computer Science from the Humboldt-Universität zu Berlin.

His research is focused on machine learning in the area of post-training neural network modularization and repair.

In FONDA, he contributes to subproject A3 and Team 7.

Jan Philipp is a PhD student in the Max Delbrueck Center for moluecular medicine. He is a trained Bioinformation B.Sc. and M.Sc from the Freie Universität Berlin.

He is interested in the following research fields and domains:

• machine learning for biomedical imaging
• worflows for transfer learning and domain adaption

He contributes to subproject A5 and and team T2.

Jonathan is a PhD student in the Distributed and Operating Systems (DOS) group in the faculty of Electrical Engineering and Computer Science, TU Berlin.

He holds a B.Sc. and M.Sc. in Information Systems Management from the Technical University of Berlin.

Jonathan’s research is focused on:

• Resource Management
• Big Data
• Scientific Workflows
• Distributed systems

Jonathan’s publications can be found here.

Sophie is a PhD student in the Visual Computing group in the department of Computer Science at the Humboldt University of Berlin. She has a background in Biomedical Engineering with a B.Sc. from Technical University Ilmenau and a M.Sc. from Chalmers University of Technology.

Sophie`s current research is focused on:

• Scientific Workflows in 3D Computer Vision
• Multi-View Reconstruction
• Macroscopic Imaging

Nikolas is a PhD Candidate at the University of Potsdam. He recieved his BSc. in Web Development from the Middlesex University in London and a MSc. in Computational Science from the University of Potsdam. 

Nikolas’ research interests include: 

• Knowledge Representation and Reasoning
• Knowledge Graphs and Ontologies
• Neuro-Symbolic AI
• Belief-Revision

He contributes to subproject A7

Vasilis is a PhD student in the WBI group in the Department of Computer Science at Humboldt University of Berlin. He received a joint B.Sc. and M.Sc. from Aristotle University of Thessaloniki in Electrical and Computer Engineering.

Vasilis’ research interests include:

• Scalable Provenance Management
• Scientific Workflows
• Distributed Systems

Vasilis’ publications can be found here.

Kedi is a PhD student supervised jointly by Dr. Birte Kehr in Leibniz Institute for Immunotherapy (LIT-Regensburg) and Dr. Ulf Leser at Humboldt University, Berlin. She has a background in Quantitative Systems Biology with an M.Sc. from Northwestern University and B.Sc. from Virginia Tech.

Kedi’s research is focused on:

• Non-reference-variant calling workflows
• Interactive workflow/human-in-the-loop
• Bioinformatic data analysis and visualization

Kedi contributes to FONDA subproject A6.

Nour is a PhD student in the DBIS group in the Department of Computer Science at the Humboldt University of Berlin. She holds a B.Sc. in Computer Science and Information Systems from Helwan University and an M.Sc. in Intelligent Adaptive Systems from the University of Hamburg.

Nour’s research is focused on:

• Interactive and exploratory workflows
• Distributed systems
• Algorithms for exploratory data analysis
• Reproducibility and reusability of scientific workflows

Nour contributes to FONDA subproject A6.

Nour’s publications can be found here.

Mahdi is a Postdoctoral researcher in the Database and Information Systems (DBIS) group at Humboldt-Universität zu Berlin under the supervision of Prof. Dr. Matthias Weidlich.

He completed his Ph.D. at TU Berlin. During his doctoral studies, his research focused on data discovery in data lakes, in particular, he developed a holistic system to efficiently explore large data lakes to enhance the data at hand to train more effective machine learning (ML) models. He received his M.Sc. degree from Amirkabir University of Technology (Tehran Polytechnic).

His current research focuses on supporting scientific workflow developers by building comprehensive knowledge bases and exploring methods to effectively share insights and expertise gained from existing workflows with new developers across diverse domains

Luisa is a PhD student in the Logic group at the Department of Computer Science, Humboldt University of Berlin (HUB). She holds a B.Sc. and M.Sc. in Computer Science and a B.Sc. in Mathematics from the Humboldt University of Berlin.

Luisa’s research is focused on:
Logic
Database Theory
Quantum Computing
Complexity Theory

In FONDA, Luisa contributes to subprojects A1 and T9.

Homa Ghasemifard is a postdoctoral researcher at GFZ in Section 1.4 | Remote Sensing and Geoinformatics.

She holds a bachelor’s degree in Physics from Tehran and a master’s degree in Environmental Physics from Bremen University. She completed her PhD at TU Munich, focusing on the analysis of atmospheric greenhouse gases and tracer techniques to detect emission sources.

Her research interests include:

• Detection of extreme climate change events 
• Data analysis and visualization
• Detecting and assessing forest disturbances and mortality in response to climate extremes

She contributes to FONDA subproject B7.

Yagmur Kati is an HPC Specialist at the Computer and Media Service (CMS) of Humboldt University of Berlin, supporting the FONDA project. She holds a PhD in Computational Statistical Physics and has experience in high-performance computing (HPC) for large-scale simulations and data analysis.

Her work focuses on:

• HPC infrastructure and workflow support
• Job scheduling and resource management
• Performance optimization for scientific computing

In FONDA, Yagmur is part of the HPC team, providing technical expertise to researchers across different subprojects.

Yagmur’s publications can be found here.

Christopher is a PhD candidate in the Human-Computer Interaction group at the Department of Computer Science, Humboldt-Universität zu Berlin. He holds a B.Sc. in Mechatronics and a B.Sc. and M.Sc. in Information Systems Technology from the Technische Universität Darmstadt.

Christopher’s research is focused on:

• Human-Computer Interaction
• User Centered Design
• Empirical User Studies

In FONDA, he contributes to subproject C3 and Team 7.

Sarah is a PhD student in the Logic group at the Department of Computer Science, Humboldt University of Berlin (HUB). She holds a B.Sc. and M.Sc. in Computer Science from the Humboldt University of Berlin.

Sarah’s research is focused on:

• Database theory
• Event query languages and query discovery
• Complexity theory
• Logic

In FONDA, Sarah contributes to subproject A1.

Sarah’s publications can be found here.

Martin is a PhD student in the solid-state theory group of the Physics Department of the Humboldt-Universität zu Berlin. He holds a B.Sc. and M.Sc. degree in Physics from the Humboldt-Universität zu Berlin.

His research is focused on computational materials science, specifically on density-functional theory, machine learning, and the superposition of both.

His current work includes similarity measures for analysis of large materials science databases and data quality assessment.

Martin contributes to FONDA subproject A3.

Svetlana Kulagina is a PhD student in the Modeling and Analysis of Complex Systems group of the Institute of Computer Science at the Humboldt University of Berlin. She holds a diploma in Computer Science from the Humboldt University of Berlin.

Svetlana’s research is focused on:

• Multi-objective, multi-constraint algorithms for scheduling
• Scheduling and load balancing in heterogeneous distributed networks
• Graph properties of workflows that relate to their scheduling

Svetlana contributes to subproject B1 and group T1.

Svetlana’s publications can be found here.

Felix is a PhD student at the Knowledge Management in Bioinformatics Lab in the Department of Computer Science at Humboldt-Universität zu Berlin.
He holds a B.Sc. and M.Sc. in Computer Science from the Humboldt-Universität zu Berlin.

Felix’s research is focused on:

• Distributed systems
• Multi-site scheduling for scientific workflows
• Workflow standardization
• Remote sensing workflows

Felix contributes to subproject B5.

Hyeokjin is a PhD student in the Software Engineering (SE) group of the Department of Computer Science at the University of Potsdam. He holds a B.Sc. in Computer Science from the National Institute for Lifelong Education and an M.Sc. in Digital Media from Duksung Women’s University in Korea. Prior to his PhD studies, he worked as a software engineer at TU Eindhoven and TU Delft in the Netherlands.

Hyeokjin’s research interests include:

• Scientific Workflows
• User-Centric Research Data Management
• Data and Process Visualization
• Web and Internet Standards for Open Science

In FONDA, Hyeokjin contributes to subproject C2 and team T7.

Christopher Lazik is a PhD student working as a researcher with the group of Software Engineering and the group of Human-Computer Interaction at Humboldt University of Berlin.

He holds a B.Sc. and M.Sc. in Computer Science from Humboldt University of Berlin.

Christopher is interested in:

• Diversity in Requirements Engineering
• User-Centered Design for Data Analysis Workflows
• Modeling Human Factors for Software Engineering
• Human-LLM Interaction

Christopher contributes to Subproject C3.

Fabian Lehmann is a Ph.D. student in computer science at the Knowledge Management in Bioinformatics Lab at the Humboldt University of Berlin and holds an M.Sc. and B.Sc. in Information Systems Management from the Technical University of Berlin.

Fabian is fascinated by any complex, distributed system. His research focuses on improving scientific workflow engines. In particular, he concentrates on scheduling and data management. Therefore, he works closely with the Earth Observation Lab at the Humboldt University of Berlin to understand real-world requirements.

In FONDA, Fabian contributes to the subproject B5 and the team T2 and T4.

Fabian’s publications can be found here.

Katarzyna is a postdoctoral researcher in the Earth Observation Lab in the Geography Department at Humboldt-Universität zu Berlin. She received her master diploma in Geoinformatics and Remote Sensing from the University of Warsaw, and a PhD in Engineering Science, Surveying and Geoinformation from the University of Technology in Graz.

She is a remote sensing scientist interested in exploring and understanding changes occurring in the natural environment, with a particular focus on climate change related phenomena. In her analyses, Katarzyna uses mainly optical remotely sensed data and especially enjoys working with long time series of observations that allow to study Land Use and Land Cover changes over the past 40 years.

Katarzyna contributes to FONDA’s subproject B5.

Ansgar Lößer is a PhD student in the Communication Networks group of the Department of Electrical Engineering and Information Technology at TU Darmstadt. He holds a B.Sc. in Computer Science from HWR
Berlin and an M.Sc. in Computer Science from the Humboldt University of
Berlin.

Ansgar’s research focuses on:

• Distributed systems
• IO in scientific workflows
• Network modelling and optimization of scientific workflows

He contributes to subproject B4 and and team T4.

Ninon De Mecquenem is a PhD student in computer science in the Knowledge Management in Bioinformatics group at the Humboldt University of Berlin. She has a B.sc. in Biology from the University of Perpignan and a M.Sc. of bioinformatics from the University of Bordeaux.

She is interested in optimizing the I/O of bioinformatics workflows, with a focus on RNAseq workflows.

In FONDA, Ninon contributes to the subproject A2 and the teams T1 and T4.

Ninon’s publications can be found here.

Somayeh Mohammadi is a PostDoc researcher in the ABI group in the Department of Mathematics and Computer Science, Freie University of Berlin. She received a B.S. degree in Software Engineering from Razi University in Kermanshah, Iran, an M.S. and Ph.D. degree in the same course from Science and Research Branch, Islamic Azad University, Tehran, Iran.

Somayeh’s research interests include:

• Distributed Computing
• Scientific Workflows
• Mathematical Optimization
• Data Science

Somayeh contributes to FONDA subproject A2.

Sebastian is a PhD student at the Software Engineering chair of the Department of Computer Science at Humboldt-Universität zu Berlin. He holds both a B.Sc. and M.Sc. in Computer Science from the Humboldt-Universität zu Berlin.

Sebastian’s current research is focused on:

• Metamorphic-Testing
• Automatic Test Case Generation
• Grammar-based Fuzzing
• Recommender Systems in Data Sciences
• Explainability of Program Behavior

Sebastian is conducting his research as part of FONDA’s sub-project A3.

Sebastian’s publications can be found here.

Rebecca is a PhD student in the DBIS group at the Department of Computer Science, Humboldt University of Berlin (HUB). She holds a BA from HUB majoring in Mathematics (minor in Computer Science) and an M.Sc. in Computational Science from the University of Potsdam.

Rebecca’s research interests include:

• Event query languages
• Algorithms for event query discovery
• Event-based validation of workflow execution

In FONDA, Rebecca contributes to subproject A1.

Rebecca’s publications can be found here.

Marc is a research associate at the Machine Learning in Clinical Neuroimaging Lab at Charité – Universitätsmedizin Berlin. With a background in physics, they shifted their focus to machine learning and deep learning, ultimately specializing in the development of machine learning methodologies for personalized psychiatry. Marc is particularly focused on identifying the scenarios in which deep learning may not be the optimal approach in biomedicine, as well as determining the factors that govern its applicability and efficiency.

Marc’s research interests include:

• Representation learning and transfer learning for brain images and healthcare tabular data
• Domain-specific data augmentation strategies
• Applicability limits of deep learning and machine learning in biomedicine
• Explainability of machine learning models for brain images

Marc’s recent publications within the CRC FONDA can be found here.

Dominik is a PhD student in the Modeling and Analysis of Complex Systems (MACSy) group in the Department of Computer Science at the Humboldt-Universität zu Berlin. He holds a B.Sc. and M.Sc. degree in Mathematics from the Heidelberg University.

Dominik’s research is focused on:

• Multi-objective scheduling algorithms with resource constraints focused on carbon efficiency
• Graph properties of workflows that relate to their scheduling
• Scheduling in heterogeneous distributed networks

In FONDA, Dominik contributes to subproject B1 and team T9.

Diellza is a PhD student in the Distributed and Operating Systems (DOS) group in the faculty of Electrical Engineering and Computer Science, TU Berlin. 

She holds a B.Sc in Mechatronics from “UBT” and M.Sc in Biomedical Engineering from the Anhalt University of Applied Sciences.

Diellza’s research is focused on:

• Big Data
• Distributed Systems
• Machine Learning
• Scientific Workflows
• Energy Efficiency

In FONDA, Diellza contributes to subproject B7.

Arne is a PhD student at the Software Engineering chair of the Mathematics and Natural Science Faculty at Humboldt-Universität zu Berlin. He holds a B.Sc. and M.Sc. in Computer Science from the Humboldt-Universität zu Berlin.

Arne’s research is focused on:

• Semantically correct grammar-based fuzzing
• Control operations for workflows
• Automatic test case generation

Arne contributes to subproject B6.

Daniel is a PhD student in the solid-state theory group of the Physics Department of the Humboldt-Universität zu Berlin. He holds a B.Sc. and M.Sc. degree in Chemical Engineering and Electrical Engineering respectively from Stanford University. Prior to his PhD studies, he worked full-time as a software engineer at Google and AI resident at Google[X].

His research focuses on improving machine learning models for materials science data. Specifically, he is interested in how low-precision density functional theory simulations in materials science can be combined with machine learning models to predict expensive simulation results.

Daniel contributes to FONDA subproject A3.

Philipp is a PhD student in the WBI group in the Department of Computer Science at Humboldt-Universität zu Berlin. He holds a B.Sc. and M.Sc. in Computer Science from the Humboldt-Universität zu Berlin.
Philipp’s research is focused on:

• Energy Efficiency
• Scientific Workflows
• Distributed Systems

In FONDA, Philipp contributes to subproject A2.

Ilin is a PhD student at the Data Engineering Systems (DES) group at the Hasso Plattner Institute in Potsdam. He holds a B.Sc. in Electrical Engineering (major in Computer Science) from the Ss. Cyril and Methodius University in Skopje and a M.Sc. in Information and Communication Technologies from the Jozef Stefan Institute in Ljubljana. Ilin’s current research is focused on:

• Benchmarking ML Systems
• Evaluating the Carbon Footprint of ML Workloads
• Interoperability in ML Pipelines

In FONDA, Ilin contributes to subproject B6.

Hannes is a PhD student in the DBIS group at the Department of Computer Science, Humboldt University of Berlin (HUB). He holds a Bachelor’s degree in Computer Science from TU Dresden and a Master’s degree in Computer Science from RWTH Aachen.

Hannes’ research is focused on:

• Event query languages
• Algorithms for event query discovery
• Event-based validation of workflow execution in a distributed setting

He contributes to the subproject A1 and Team T9.

Duc is a PhD student in the department of Computer Science at Humboldt University of Berlin. He holds a B.Sc. and M.Sc. in Computer Science from the Humboldt University of Berlin.

Duc’s research interests include:

• Automated Testing and Debugging
• Interpreting and Explaining Systems
• Validity and Trustworthiness

He contributes to subproject B4 and and team T2.

Tobias Wies is a PhD student in the Communication Networks group of the Department of Electrical Engineering and Information Technology at TU Darmstadt. He holds a M.Sc. in Computer Science and IT Security and a B.Sc. in Computer Science from the TU Darmstadt.

Tobias’ research focuses on:

• Distributed Systems
• Low-level I/O optimization and steering
• Data management

In FONDA, Tobias contributes to subproject B4.

Joel is a PhD student in the Distributed Algorithms department at Zuse
Institute Berlin (ZIB). He holds a B.Sc. in Computer Science from HWR
Berlin and an M.Sc. in Computer Science from the Humboldt University of
Berlin.

Joel’s research focuses on:

• Distributed systems
• IO in scientific workflows
• Network modelling and optimization of scientific workflows

He contributes to subproject B4 and and team T2.

Soeren was a PhD student in the Distributed and Operating Systems (DOS) group at the Faculty of Electrical Engineering and Computer Science, TU Berlin. He holds a B.Sc. and M.Sc. in Computer Science from the Technical University of Berlin.

His research focused on:

• Distributed Systems
• Decentralized and self-adaptive Edge Computing
• Resource Management and peer-to-peer based scheduling

Soeren’s publications can be found here.

David was a Postdoctoral Researcher in the Earth Observation Lab at Humboldt-Universität zu Berlin’s Geography Department. He holds a Diploma in Applied Environmental Sciences, and a PhD in Remote Sensing.

His research concentrates on how to “go from data to information” tailored for a wide range of environmentally centered research and monitoring needs. This particularly includes the preprocessing of operational EO data archives to analysis ready data, their management in data cubes, subsequent processing via data reduction, interpolation, time series analysis, and data integration with complementary data sources, as well as data analysis based on statistics and machine learning.

David contributed to subproject B5 and left FONDA in Autumn 2021 following an appointment to Assistant Professor for Geoinformatics – Spatial Data Science at Trier University.

David’s publications can be found here.

Rafael was a PhD student in the Data Engineering Systems group of the Digital Engineering Faculty at Hasso Plattner Institute. He holds a B.Sc. and M.Sc. in Computer Science from the Humboldt University of Berlin.

Rafael’s research focused on:

• Distributed and decentralized stream processing
• (Stream) query processing and optimizations
• Benchmarking stream processing engines

Rafael contributed to subproject B6, team T4, and served on the FONDA board