Laura Leja started working at EDI in 2022. She graduated from the University of Latvia, where she received her Master’s degree in Mathematics in 2020, and is currently studying for a PhD in Computer Science and Mathematics at the University of Latvia.
Her research covers a wide range of topics, with a particular focus on artificial intelligence and differentiable physics methods – in the areas of motion planning and dynamic systems modeling. Laura focuses on tasks aimed at developing methods that accurately model the interaction of physical laws and learning algorithms, thus creating new approaches and understanding of complex systems.
In addition to her professional activities, Laura is passionate about self-defense sports, which help maintain focus, discipline, and physical well-being during intensive research processes.
Related publications:
Recent projects
- AI-improved organ on chip cultivation for personalised medicine (AImOOC)
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Artificial Intelligence in Manufacturing leading to Sustainability and Industry 5.0 (AIMS5.0) #ChipsJU
Recent publications
- Laura Leja, Vitālijs Purlans, Rihards Novickis, Andrejs Cvetkovs, Kaspars Ozols. Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
- Ivars Namatēvs, Roberts Kadiķis, Anatolijs Zencovs, Laura Leja, Artis Dobrājs. Dataset of Annotated Virtual Detection Line for Road Traffic Monitoring
- Kārlis Freivalds, Laura Leja, Oskars Teikmanis, "Learning to Move Objects with Fluid Streams in a Differentiable Simulation", ROBOT 2024 7th Iberian Robotics Conference, IEEE,
- Laura Leja, Oskars Teikmanis, Kārlis Freivalds, 2024. "Shaping Flames with Differentiable Physics Simulations" "Machine Learning and the Physical Sciences" , NeurIPS 2024
- Kārlis Freivalds, Oskars Teikmanis, Laura Leja, Rodions Saltanovs, Ralfs Āboliņš, "Learning Fluid-Directed Rigid Body Control", "Machine Learning and the Physical Sciences" at NeurIPS 2024
- Valērija Movčana, Arnis Strods, Karīna Narbute, Fēlikss Rūmnieks, Roberts Rimša, Gatis Mozoļevskis, Maksims Ivanovs, Roberts Kadiķis, Kārlis Gustavs Zviedris, Laura Leja, Anastasija Zujeva, Tamāra Laimiņa, Arturs Abols. "Organ-On-A-Chip (OOC) Image Dataset for Machine Learning and Tissue Model Evaluation" Data , 9(2), pp.28. https://doi.org/10.5281/zenodo.10203721
- Kārlis Freivalds, Laura Leja, Oskars Teikmanis. 2024. Learning to Move Objects With Fluid Streams in a Differentiable Simulation. https://www.scopus.com/pages/publications/85216016801?origin=resultslist
- Laura Leja, Kārlis Freivalds. 2025. Controlling shape of flame with differentiable physics. Engineering for Rural Development, 24: pp.666-672. https://www.scopus.com/pages/publications/105010699303?origin=resultslist
- Laura Leja , Guntis Vilnis Strazds, Christos Chronis, Iraklis Varlamis, Kārlis Freivalads. 2025. Differentiable Physics Training Method for Robot Motion Planning . https://ifac.papercept.net/conferences/conferences/J3C25/program/J3C25_ContentListWeb_4.html#thmorninga1_ta_03
- Guntis V. Strazds, Katrīna Viltrake, Gergely Hollosi, Laura Leja, Arnis Priedītis, Diāna Dupļevska, Makss Meiers, Christos Chronis, Iraklis Varlamis, George Dimitrakopoulos, Kārlis Freivalds. 2025. Applied AI for Adaptive Robotic Conveyor-Feeding (I). https://ifac.papercept.net/conferences/conferences/J3C25/program/J3C25_ContentListWeb_4.html#thmorninga1_ta_03