Daniel Stoll
Founder of Patalyze
Daniel Stoll
Founder of Patalyze
Daniel Stoll
Founder of Patalyze
About
Daniel Stoll
Hi! I'm Daniel. I like coding and building stuff. My scientific background is in Graphs, Graph Analytics, and Machine Learning on Graphs.
About
Daniel Stoll
Hi! I'm Daniel. I like coding and building stuff. My scientific background is in Graphs, Graph Analytics, and Machine Learning on Graphs.
About
Daniel Stoll
Hi! I'm Daniel. I like coding and building stuff. My scientific background is in Graphs, Graph Analytics, and Machine Learning on Graphs.
Professional Experience
2024
Present
Founder
Founder & CEO of Patalyze GmbH
2021
2023
Research Assistant: Graph Partitioning
Research in improving the performance of large-scale graph processing systems and graph partitioning algorithms at the Chair for Decentralized Information Systems and Data Management (i13)
2020
2022
Research Assistant: Cloud-Platform Development
Developed a data exchange and analysis platform for sharing scientific data (e.g. state geographic baseline data, simulation results) between university partners and federal agencies.
2018
2020
Software Engineer
mgm technology partners GmbH Software Engineer for components of a public sector e-government project in Germany. Developed an in-house Java framework for automated functional testing based on Selenium and Google Juice.
Professional Experience
2024
Present
Founder
Founder & CEO of Patalyze GmbH
2021
2023
Research Assistant: Graph Partitioning
Research in improving the performance of large-scale graph processing systems and graph partitioning algorithms at the Chair for Decentralized Information Systems and Data Management (i13)
2020
2022
Research Assistant: Cloud-Platform Development
Developed a data exchange and analysis platform for sharing scientific data (e.g. state geographic baseline data, simulation results) between university partners and federal agencies.
2018
2020
Software Engineer
mgm technology partners GmbH Software Engineer for components of a public sector e-government project in Germany. Developed an in-house Java framework for automated functional testing based on Selenium and Google Juice.
Professional Experience
2024
Present
Founder
Founder & CEO of Patalyze GmbH
2021
2023
Research Assistant: Graph Partitioning
Research in improving the performance of large-scale graph processing systems and graph partitioning algorithms at the Chair for Decentralized Information Systems and Data Management (i13)
2020
2022
Research Assistant: Cloud-Platform Development
Developed a data exchange and analysis platform for sharing scientific data (e.g. state geographic baseline data, simulation results) between university partners and federal agencies.
2018
2020
Software Engineer
mgm technology partners GmbH Software Engineer for components of a public sector e-government project in Germany. Developed an in-house Java framework for automated functional testing based on Selenium and Google Juice.
Education
2021
2023
M.Sc. Data Engineering & Analytics, Technical University of Munich
Thesis: A Distributed System for Scalable Training of Graph Neural Networks
2017
2021
B.Sc. Informatics, Technical University of Munich
Thesis: Improving the Effectiveness of Edge Partitioning Algorithms in Distributed Graph Computation
2017
Abitur, Major in Physics and Geography
Final GPA: 1.0, Awards: DPG-Abiturpreis (German Physical Society), Membership in the Society of Mathematicians in Hamburg
Education
2021
2023
M.Sc. Data Engineering & Analytics, Technical University of Munich
Thesis: A Distributed System for Scalable Training of Graph Neural Networks
2017
2021
B.Sc. Informatics, Technical University of Munich
Thesis: Improving the Effectiveness of Edge Partitioning Algorithms in Distributed Graph Computation
2017
Abitur, Major in Physics and Geography
Final GPA: 1.0, Awards: DPG-Abiturpreis (German Physical Society), Membership in the Society of Mathematicians in Hamburg
Education
2021
2023
M.Sc. Data Engineering & Analytics, Technical University of Munich
Thesis: A Distributed System for Scalable Training of Graph Neural Networks
2017
2021
B.Sc. Informatics, Technical University of Munich
Thesis: Improving the Effectiveness of Edge Partitioning Algorithms in Distributed Graph Computation
2017
Abitur, Major in Physics and Geography
Final GPA: 1.0, Awards: DPG-Abiturpreis (German Physical Society), Membership in the Society of Mathematicians in Hamburg