Danila Valko
M.Sc. in Computer Science  |  |  |  |  |
danila.valko@proton.me
Academic interests and expertise
- Energy Informatics & Sustainability
- Data Science for Sustainability
- Green computing & Green AI
Education
2018 M.Sc. in Computer Science (summa cum laude)
- South Ural State University (National Research University), Russia
- Supervisor: Mikhail Zymbler
2010 M.Sc. in Economics (summa cum laude)
- South Ural Institute of Management and Economics, Russia
- Supervisor: Irina Sergeicheva
Professional experience
2023 – n.d. OFFIS - Institute for Information Technology, Carl von Ossietzky University, Germany
- Researcher, Software Developer, Full-time
- Energy Informatics, Smart grid co-simulation
- Integration of carbon intensity signals
2023 – 2023 choyze (GmbH), Germany
- Data Research Analyst, Part-time (3 months)
- Data Analysis, Machine Learning
- Modeling and analysis of sustainablity preferences
2022 – 2023 L3S Research Center, Leibniz University Hannover, Germany
- Visiting Researcher, Full-time (12 months)
- AI & Deep Reinforcement Learning, Green Computing
2021 – 2022 Center for Advanced Governance (NGO), Russia
- Data Scientist, Data Engineer, Part-time
- Research & Data Analysis
- Data Mining & Pipline optimization (Python/PostgreSQL, ETL/ELT, Apache Airflow)
2014 – 2022 The South Ural University of Technology, Russia
- Senior Researcher, Associate Professor, Full-time
- Quantitative Analysis, Econometrics (ANOVA, SEM, ATET, PSM, CS-ADRL)
- Teaching IT, B.Sc./M.Sc. Thesis Supervision
2010 – 2013 Mechel-Fund (NGO), Russia
- Technician, Part-time
- IT-infrastructure maintenance
Courses (taken recently)
- 2022 Data Science Summer School / Hertie School
- 2021 Quantitative Methods / University of Amsterdam | Coursera
- 2021 Machine Learning and Computer Vision / IT Korpus
- 2021 Introduction to Data Analysis in Python / Center for Advanced Governance
- 2020 Data Science, 10 courses Specialization / John Hopkins University | Coursera
- 2020 Data Analysis, 4 courses Specialization / Novosibirsk State University | Coursera
- 2020 Machine Learning and IT Project Management for Educators / Moscow Institute of Physics and Technology
- 2020 IT Infrastructure and Artificial Intelligence / Tomsk State University
- 2020 Artificial Intelligence, Big Data and Machine Learning / Tomsk State University
Publications (selected)
- Valko, D., & Kudenko, D. (2025). Hybrid pathfinding optimization for the lightning network with reinforcement learning. Engineering Applications of Artificial Intelligence, https://doi.org/10.1016/j.engappai.2025.110225
- Valko, D., & Kudenko, D. (2025). Increasing energy efficiency of bitcoin infrastructure with reinforcement learning and one-shot path planning for the lightning network. Neural Computing and Applications, https://doi.org/10.1007/s00521-024-10588-2
- Valko, D., & Kudenko, D. (2024). Reducing CO₂ emissions in a peer-to-peer distributed payment network: Does geography matter in the lightning network? Computer Networks, https://doi.org/10.1016/j.comnet.2024.110297
- Valko, D., Alsharif, S., & Tolk, D. (2024). An open-source carbon emissions simulator for smart grid co-simulation scenarios. In Proc. of the European Simulation and Modelling Conference 2024 (ESM 2024), San Sebastian, Spain, https://doi.org/10.5281/zenodo.13984401
- Valko, D., Alsharif, S., Tolk, D., & Grimm, T. (2024). MASSCA: Scalable multi-agent system framework for smart power cell co-simulation. In Proc. of the European Simulation and Modelling Conference 2024 (ESM 2024), San Sebastian, Spain, https://doi.org/10.5281/zenodo.14004357
Prepared datasets and data papers (recent)
- Petersen, K., Valko, D., & Tolk, D. (2025). hyBit open data collection. Zenodo, https://doi.org/10.5281/zenodo.15052032
Patents
- Valko, D., & Muhina, Yu. (2020). Web application "Science Festival of the South Ural University of Technology" / Reg. No. RU2020616358.
- Valko, D., & Zymbler, M. (2018). Decision support system for scientific research management based on intelligent analysis of scientometric data / Reg. No. RU2018613068.
- Valko, D., & Koltashov, A. (2016). Module for data mining and scientometric aggregation from open data services / Reg. No. RU2016619028.
- Valko, D., & Moskvina, V. (2015). Computation software for steel rolling calibration systems / Reg. No. RU2015618937.
Other professional skills
- Language skills: Russian (native), English (advanced), German (advanced)
- Software Development skills: Python, C#, Java, HTML/CSS/JS, QA:SpecFlow/Playwright
- ML & Data Science skills: Data Mining and Machine Learning in Python, PyTorch, TensorFlow, OpenCV