EIS 2025
Berlin, 2025
June 24-26
•
 Auditorium Friedrichstrasse - Berlin, Germany
Gurobi Optimization is delighted to invite you to:
The 2025 Energy Innovation Summit will gather a diverse community of thought leaders, researchers, industry experts, and decision-makers to explore the transformative potential of open Energy System Modeling and Optimization in accelerating the energy transition. This year, we’re proud to co-host the Summit with Open Energy Transition, further strengthening our commitment to collaboration, transparency, and innovation across the energy sector.Â
Be part of the conversation in Berlin as we shape the future of energy optimization and drive innovation toward a more sustainable and equitable energy future. Our mission is to promote transparent, collaborative, and accessible modeling and optimization solutions that address the most pressing energy challenges.
This year’s summit is designed around two dedicated focus tracks, tailored to professionals and experts with a strong interest in one of the following areas:
Each track features a full day of keynotes and Innovation in Action talks.
Connecting both audiences, Day 2 offers a shared space for learning and collaboration. Participants will benefit from in-depth technical sessions, hands-on training with Gurobi Optimizer and PyPSA, and a dedicated Business-Meets-Optimization Workshop designed to turn insights into impact.
 |
Frank HägerSenior Account Director Gurobi Optimization |
Frank Häger is the Sales Director for the DACH region at Gurobi Optimization. Prior to working at Gurobi, Frank was responsible for Optimization Solutions Sales at FICO in EMEA from 2010 to 2016. He started his career in optimization sales in 1998 at ILOG Germany where he eventually led the German operations as Managing Director until 2008. Frank is a seasoned Sales Professional in the Software Industry for Enterprise Decision Management, focusing on Optimization and Prescriptive Analytics. Frank currently resides in the Hamburg area in Germany.
 |
Dr. Martha FrysztackiHead of Energy System Modelling Open Energy Transition |
Martha holds an M.Sc. in Mathematics from FAU Erlangen-Nuremberg and a PhD from the Karlsruhe Institute of Technology. Her journey with PyPSA, the renowned open-source energy planning optimization framework, began in 2019 as she started her PhD studies and joined the core development team. Her focus was on achieving an accurate representation of the electricity grid and ensuring its secure operation today and in a future, more renewable, system. After graduating in 2023, she co-founded Open Energy Transition (OET), a non-profit environmental think tank and software company dedicated to addressing energy planning challenges. At OET, Martha takes the lead in Energy System Modeling and Optimization.
 |
Lennart LahrsTechnical Account Manager Gurobi Optimization |
Lennart Lahrs holds MSc degrees from RWTH Aachen University and KTH Royal Institute of Technology, with a focus on electrical engineering and operations research. Previously, he worked in software development and energy system research as part of agile teams. Within research contexts, Lennart applied discrete optimization to machine operations, fleet management and energy system design. Outside of work, Lennart enjoys sailing, cycling, and cooking.
 |
Dr. Jaromił NajmanSenior Developer Gurobi Optimization |
Jaromił Najman obtained his M.Sc. in Mathematics at RWTH Aachen University. He did his Ph.D. at the Institute for Process Systems Engineering (AVT.SVT) in Aachen in nonlinear programming, in particular deterministic global optimization. He is one of the two main developers of the open-source software MAiNGO. During his free-time, Jaromił likes to go rock climbing or play (board) games with his family and friends.
 |
Dr. Robert LucePrincipal Developer Gurobi Optimization |
Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.
 |
Dr. Hassan HijaziSenior Developer Gurobi Optimization |
Hassan Hijazi holds a Ph.D. in Computer Science from Aix-Marseille University. During his early career, Hassan was part of Orange Labs, the École Polytechnique, National ICT Australia, the Australian National University, and Los Alamos National Laboratory. In 2015, Hassan received the Rising Star Award from the Australian Society for Operations Research. In 2021, he was the winner of the ARPA-E Grid Optimization Competition, ranking 1st across all divisions. In 2022, he won the Monarch of the Mountain round. During his free time, Hassan likes to play soccer, practice kickboxing, and go motorcycle riding. He also enjoys playing board games and spending time outdoors skiing, camping, and kayaking with his family.
 |
Dr. Matthias MiltenbergerManager of Optimization Support Gurobi Optimization |
Dr. Matthias Miltenberger is a mathematician living in Berlin. He completed his PhD at the Technical University of Berlin and worked for several years developing, maintaining and supporting the SCIP Optimization Suite at the Zuse Institute Berlin with a focus on linear programming in the context of mixed-integer optimization. Dr. Miltenberger joined Gurobi in October 2019. He enjoys traveling and spending time with his wife and daughter.
 |
Dr. Sara FrimodigHead of Optimization Ingrid Capacity AB |
Sara Frimodig is Head of Optimization at Ingrid Capacity, a leading developer of large-scale battery energy storage systems. Holding a PhD in Applied and Computational Mathematics from KTH Royal Institute of Technology, she specializes in advanced optimization techniques for energy market operations. Dr. Frimodig leads the development of algorithmic decision-support systems that enable efficient, data-driven participation in ancillary and spot markets across Europe.
 |
Dr. Kyri BakerAssociate Profesor University of Colorado |
Dr. Kyri Baker received her B.S., M.S., and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2009, 2010, and 2014, respectively. From 2015 to 2017, she worked at the National Renewable Energy Laboratory. Since Fall 2017, she has been an Assistant Professor at the University of Colorado Boulder and is now an Associate Professor and a Fellow of the Renewable and Sustainable Energy Institute (RASEI). She combats climate change by developing computational tools that leverage optimization and machine learning to operate energy systems more efficiently and reliably. Dr. Baker has received a National Science Foundation CAREER award for her work combining power system operations with machine learning.
 |
Prof. Tom BrownProfessor TU Berlin |
 |
Antoine OustryResearcher RTE |
Antoine Oustry holds a Master of Science from the Ecole Polytechnique, a Master in Public Administration from the Ecole des Ponts and a PhD in Computer Science (Operations Research) from the Ecole Polytechnique. During his thesis, Antoine contributed to the field of global nonlinear optimization, with applications to power flow problems. After graduation, Antoine joined the French Treasury as a policy analyst on the public support for road transport electrification. Since January 2025, he has been working at RTE, the French Transmission System Operator, leading the R&D roadmap on energy system modelling for long-term resource adequacy assessment and planning studies.
 |
Thomas BittarOperations Research RTE |
Thomas Bittar holds an engineering degree from Ecole Centrale de Lyon and a MSc in Applied Mathematics from the University of Cambridge. Then, he did a PhD in stochastic optimization at Ecole des Ponts, jointly with EDF (Électricité de France). He joined RTE in 2021 to work on the modelling and optimization algorithms for energy systems in prospective studies. He takes part in developments within the Antares Simulator and Antares Xpansion tools, used by RTE and other TSOs to perform prospective analysis.
 |
Dr. Antonio FrangioniProfessor |
Antonio Frangioni's career has been very "local": he got his Master in Computer Science in 1992 at the University of Pisa, his Ph.D. in Computer Science in 1996 at the same place, where he became first Research Associate (in the same year), then Associate Professor (2004), then Full Professor (2012), and where he still is nowadays. His main research interest is the analysis, development, implementation and testing of solution approaches for large-scale structured optimization problems at the interface between continuous and combinatorial optimization, with emphasis on (re)formulation techniques to expose and exploit valuable structural properties, and their real-life application in several fields (energy, transportation, telecommunications, ...) He's also interested in the numerical analysis, computer science, artificial intelligence and machine learning issues arising within these solution approaches and, vice-versa, in the use of mathematical programming techniques in these disciplines.
No results found.
No results found.
Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.
Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.