Ecologic-Computing GmbH develops software that enhances communication, storage, and computing efficiency. The company is currently focusing on beyond-Shannon communication, which explores alternative models of information processing that prioritize semantic relevance, efficiency, and robustness. Additionally, Ecologic-Computing is researching alternative computing approaches, including analog, beyond-digital, and biologically inspired computation.
Partnership with relAI
Ecologic-Computing’s research will contribute to the mathematical and algorithmic foundations relAI research area, with a focus on robustness, efficiency, and the design of responsible systems. Additionally, Ecologic-Computing will create opportunities for relAI students to collaborate and exchange ideas, giving them valuable hands-on research experience. By offering guest lectures and seminars on topics such as entrepreneurship, technology transfer, and its research and development roadmap, Ecologic-Computing will equip relAI students with insights into translating research into industry applications.
Ecologic-Computing anticipates that close interaction with relAI will benefit both researchers and students, providing access to valuable theoretical expertise.
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On January 20, 2026, researchers from relAI, MDSI and our industry partner SAP gathered for a pitchtalk session at the SAP Labs Munich Campus in Garching. In an interactive setup, participants from the three organizations exchanged research insights and explored ideas for future collaborations.
The afternoon opened with short welcome words from representatives of SAP (Dr. Tobias Müller), MDSI (Sylvia Kortüm) and relAI (Dr. Mónica Campillos). The following pitchtalks covered a wide range of topics relevant to AI and Data Science, spanning methodological approaches to practical research resources.
Pitchtalk Session
The talks introduced methodologies and applications across various research fields, from uncertainty modeling to personalized medicine and research data infrastructure.
Max Beier, a relAI PhD student, discussed the advantage of using linear-operator methods in dynamical systems. By focusing on linear operators, his approach supports optimal control, scalable optimization algorithms, and reliable forecasting across time scales ranging from milliseconds to days. He showed that this methodology allows efficient learning of system behavior, modeling of trajectory distributions, and generation of coherent sequences, addressing current limitations in decision‑making models for complex dynamical environments.
Parastoo Pashmchi, an industrial PhD student at SAP, introduced an efficient algorithm to handle missing data, a common challenge in AI projects. She presented an ML‑based imputation method that preserves the original data distribution by sampling from the conditional distribution of nearest neighbors, overcoming the limitations of common techniques like kNNImputer. By enabling uncertainty quantification and multiple imputations, her approach improves the reliability of predictive models such as SAP’s green energy forecasting use case, where missing solar production data can significantly undermine model accuracy.
Mario Picciani, an MDSI PhD student, highlighted recent developments and applications of ProteomicsDB, a proteomics resource established in 2012 through a collaboration between MDSI Core Member Prof. Bernhard Küster and SAP. ProteomicsDB is a powerful multi‑omics, multi‑organism platform that enables real‑time exploration of proteomic, transcriptomic, and drug‑interaction data across the tree of life, supporting research from basic biology to large‑scale initiatives. With expanding capabilities for analyzing drug mechanisms, predicting cell responses, and supporting precision oncology, the SAP HANA–powered resource could become a central tool for biomarker discovery, systems biology, and personalized medicine.
Sebastian Gallenmüller, an MDSI PhD student, presented SLICES-DE, a digital research infrastructure for computing and communication, embedded within a European collaborative network. As a national digital research infrastructure for ICT, SLICES‑DE offers remote‑accessible testbeds, reproducible workflows, and long‑term data management to support research in areas such as 6G, AI, cybersecurity, and cloud‑edge systems. Built as a community‑driven, flexible, and scalable platform, it enables shared experiments, training, and industry collaboration, providing both academia and companies with a versatile environment that can even be booked for individual lectures or large‑scale projects.
Networking over pretzels and lemonade
An informal networking session after the pitchtalks gave speakers and participants from relAI, MDSI, and SAP the opportunity to connect, exchange impressions, discuss research interests, and explore potential collaborations.
We thank our industry partner SAP for hosting this event and sharing insights into ongoing research projects – we look forward to future editions!
We are happy to announce that Resaro has joined relAI as an Industry Partner!
Resaro stands for REsponsible - SAfe - RObust. Its mission is to ensure the performance, safety, and security of mission-critical AI systems, which is fundamentally aligned with the four relAI central themes: responsibility, privacy, safety and security.
Resaro’s Approved Intelligence Platform (AIP) provides modular, scenario-based testing workflows to evaluate mission-critical AI systems in defence, public safety, and critical civil use cases. It delivers a comprehensive, end-to-end testing environment based on a proprietary AI trust ontology with measurable AI Solutions Quality Indicators (ASQI) to test, evaluate, verify and validate on solution or system level with different AI modalities. This evaluation covers various aspects, including quality, performance, safety and security. Recent systems under examination have included anti-money laundering solutions, X-ray imaging anomaly classifiers, deepfake detectors, UAVs, face-in-crowd recognition systems, hypothesis generators for pharmaceutical research, customer service chatbots, and video action recognition solutions, among others.
Additionally, Resaro has developed an innovative approach not only to test for quality but also to describe it in a use-case-specific yet standardized manner. For more information, visit www.resaro.ai/asqi.
Partnership with relAI:
🤝Through this mutually beneficial partnership, relAI Students will gain access to internship and research opportunities, while relAI will expand its network by adding unique skills. Additionally, Resaro will strengthen and broaden its open-source trust community, exchanging knowledge with both academic institutions and industry partners.
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On Tuesday, October 21, 2025, the Women in Data Science (WiDS) Munich Conference gathered a vibrant community of researchers, professionals, and students for a day filled with engaging talks, insightful panels, and meaningful networking opportunities. Hosted by Bayerischer Rundfunk (BR), the event celebrated the power of data science to drive social change and empower women in technology.
In line with relAI's commitment to promoting gender equality and diversity, its members supported the event in various ways. The conference was moderated by relAI PhD student Lisa Schmierer, and the keynote address was delivered by relAI Fellow Enkelejda Kasneci, who spoke about using AI to support socially disadvantaged children. Additionally, relAI PhD student Lisa Wimmer presented a talk on "The Need for Uncertainty in Machine Learning." Frauke Kreuter, relAI Fellow and Ombudsperson as well as member of the Steering Committee, participated as a panelist in the discussion titled “When Evidence Meets Opposition: Navigating the New Normal.” Finally, relAI Coordinator Andrea Schafferhans shared insights on how to earn a PhD in an academic environment during the networking session.
👉 Visit these links for more information on the event, including the agenda and photos.
On October 23, 2025, relAI, the Munich Data Science Institute (MDSI), the Munich Center for Machine Learning (MCML), and the AI Hub@LMU organized the Munich Career Fair AI & Data Science 2025 at TranslaTUM.
The event brought together eleven industry partners and over 150 students across various educational stages, from bachelor’s to doctoral levels. Each partner presented an overview about their activities in AI and data science, highlighting associated career opportunities. Additionally, students had ample time and space for networking and personal interactions at the industry stands in the foyer of TranslaTUM.
We extend our heartfelt thanks to all participants, especially the industry partners, for showcasing potential career paths in AI and Data Science and contributing to the success of the fair. We look forward to seeing all of you at the next edition.
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relAI is excited to announce that GE HealthCare has become an official industry partner.
As one of the leading global providers of MRI, ultrasound, and other medical imaging technologies, GE HealthCare is dedicated to creating a world where medicine and healthcare have no limits. Their mission aligns closely with relAI’s focus on safety and security, aiming to provide high-quality, reliable devices to improve patient care. GE HealthCare is furthermore connected to relAI through PhD students Natascha Niessen and Ha Young Kim, who are both PhD scientists at GE HealthCare.
GE HealthCare is eager to connect with young talents at relAI and support them in their career development and educational journeys. To facilitate this connection, GE HealthCare will host an event, offering relAI students the opportunity to learn more about the work being done at the R&D site in Munich. This event will also allow students to explore potential collaborations and meet professionals who are shaping the future of medical technology.
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Last week, our industry partner QuantCo generously hosted over 30 relAI students at its offices in Munich. The visit provided a valuable platform for our students and QuantCo colleagues to connect, fostering a friendly environment for discussions on potential future collaborations.
We extend our sincere gratitude to QuantCo for their warm welcome and for facilitating such a beneficial exchange!
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We are excited to announce that Airbus, a key player in the global aerospace sector, and QuantCo, a leading data science and AI firm, have become industry partners of relAI.
The research areas of Airbus Central Research and Technology, the central research entity of the Airbus Group, align well with the relAI research areas algorithmic decision-making, and robotics & interacting systems. Furthermore, trustworthy AI, along with relAI’s central themes of safety and security, is essential for establishing a reliable foundation for the use of AI in Airbus's future products and services
In addition to their involvement in events and activities and supporting relAI students, Airbus brings fresh perspectives and potential application areas for AI. The aerospace sector demands a high level of safety and reliability, and this collaboration will contribute to stimulating the development of new research directions.
QuantCo, founded in 2016 by four Harvard and Stanford PhDs. has rapidly grown into a team of 200 data scientists, software engineers, and deep learners. With offices across the US, UK, Switzerland, and Germany (including one in Munich), QuantCo collaborates with market-leading companies in insurance, e-commerce, and automotive. The data science and AI company develops algorithms for, among others, pricing and claims management, and works on topics within the relAI research area medicine & healthcare. QuantCo will support our students by offering valuable internship opportunities.
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Last week, our relAI students presented their research to the relAI industry partners in a series of industry workshops. Four events took place, each centered around one of the four relAI’s research areas: Mathematical & Algorithmic foundations, Algorithmic Decision-Making, Medicine & Healthcare and Robotics & Interacting Systems.
We are thrilled that this event was so well received both by the students and the industry partners! Following short lightning talks, intriguing discussions around reliability of AI took place in smaller breakout groups.
The industry workshops are part of relAI´s cross-sectional training and aim to facilitate the exchange of insights and expertise between academia and industry. The engagement from both our students and industry fellows emphasized the significance of bridging academic excellence with real-world applications, particularly when addressing the evolving challenges in AI reliability.
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We are thrilled to announce our new industry partnership with SAP!
The new collaboration will strengthen the school's expertise in Business AI, and will contribute to translate our AI research into the development of reliable AI systems. You can read below the views of SAP members on this exciting alliance between relAI and SAP.
We are thrilled to extend our collaborative efforts on research-driven product innovation with the Technical University of Munich and the Munich ecosystem through our new partnership with the Konrad-Zuse-School of Excellence in Reliable AI. This expansion not only consolidates our portfolio of AI-related applied research projects, but also fosters a more profound knowledge exchange and talent engagement on topics around the development of reliable AI systems and Business AI.
- Dr. Katharina Wollenberg and Dr. Rüdiger Eichin, Industry-University Collaboration, SAP
At SAP, we are committed to help our customers leverage AI to create tremendous business value. We specialize in Business AI: AI that is relevant since it’s embedded in enterprise business applications and processes from day one; that is reliable since we train, ground, and adapt AI on companies’ business data and context; and that is responsible by design, following SAP’s rigorous AI ethics, privacy, and security practices. We are delighted to join the Konrad Zuse School of Excellence in Reliable AI and look forward to collaborating with academica to drive the development and delivery of relevant, reliable, responsible Business AI.
