Theresa Chiara Theunissen, born on February 27, 1996, in Germany, is a dedicated researcher and consultant with a robust background in engineering and management. She is currently pursuing her Ph.D. at the Technical University of Munich, specializing in Agrarsystemtechnik since January 2022, and serves as a Research Assistant in the same department from October 2023. She holds a Master’s degree in Mechanical Engineering with a focus on Production Technology and Operations Research Management, completed in 2019, and a Bachelor’s degree in the same field, obtained in 2018, both from RWTH Aachen University. Her academic journey began with earning her Allgemeine Hochschulreife from St.-Angela Gymnasium in Wipperfürth in 2014.
Academic Background 🎓
Since January 2022: Pursuing Ph.D. at Technical University of Munich, Chair of Agricultural Systems Technology 🌾. April 2018 – September 2019: Master of Science in Industrial Engineering and Mechanical Engineering, RWTH Aachen University ⚙️. October 2014 – March 2018: Bachelor of Science in Industrial Engineering and Mechanical Engineering, RWTH Aachen University 🏗️. July 2006 – June 2014: General University Entrance Qualification, St.-Angela Gymnasium, Wipperfürth 🎒
Professional Experience 💼
Since October 2023: Research Assistant, Chair of Agricultural Systems Technology, Technical University of Munich 📚. Since January 2022: Senior Consultant at McKinsey & Company (on Educational Leave) 🧠. January 2020 – December 2021: Consultant at McKinsey & Company 💡. April 2018 – July 2019: Student Assistant, Chair of Machine Tools, RWTH Aachen 🔧. October 2017 – March 2018: Internship and External Bachelor’s Thesis at CLAAS KGaA mbH 🚜. December 2016 – September 2017: Student Assistant, Chair of Production Systems, RWTH Aachen 🏭. July 2014 – August 2014: Internship at VOSS Automotive GmbH 🚗. July 2013 – August 2013: Internship at Michael Steuerberatungsgesellschaft mbH 📊. July 2012 – August 2012: Internship at FrieslandCampina Germany GmbH 🥛
Research Focus: Digital Energy Management 💡🔋
Theresa Chiara Theunissen is currently focused on Digital Energy Management at the Technical University of Munich. Her research aims to innovate and enhance energy systems through digital transformation. Key areas include:
- Smart Grid Technologies: Integrating advanced data analytics and IoT devices to optimize energy distribution and consumption in real-time.
- Energy Efficiency: Developing algorithms and tools to improve the energy efficiency of industrial and agricultural systems.
- Renewable Energy Integration: Facilitating the seamless incorporation of renewable energy sources into existing energy infrastructures.
- Sustainable Practices: Promoting sustainability by reducing energy wastage and carbon footprint through intelligent energy management solutions.
- Data-Driven Decision Making: Utilizing big data and machine learning to make informed decisions that enhance the overall efficiency and reliability of energy systems.
Theresa’s work in Digital Energy Management is pivotal in driving forward the capabilities of modern energy systems, ensuring they are both efficient and sustainable.
Publication Top Notes:
- How to Successfully Orchestrate Content for Digital Agriecosystems
- Journal: Agriculture
- Date: May 1, 2023
- DOI: 10.3390/agriculture13051003
- Contributors: Maximilian Treiber, Theresa Theunissen, Simon Grebner, Jan Witting, Heinz Bernhardt
- Mind the Market Opportunity: Digital Energy Management Services for German Dairy Farmers
- Journal: Agriculture
- Date: April 13, 2023
- DOI: 10.3390/agriculture13040861
- Contributors: Theresa Theunissen, Julia Keller, Heinz Bernhardt
- Concept of Adding Ground Truth Data for Economic Evaluation of Silage Quality in Germany
- Conference: 2022 ASABE Annual International Meeting
- Date: 2022
- DOI: 10.13031/aim.202200285
- Contributors: J. Bauerdick, H. Spiekers, C. Bodensteiner, T. Theunissen, H. Bernhardt
- Revenue Increase for German Dairy Farmers through Cross-Value Chain Energy Management
- Conference: 2022 ASABE Annual International Meeting
- Date: 2022
- DOI: 10.13031/aim.202200711
- Contributors: T. Theunissen, H. Bernhardt
- Application of Time Series Data Mining for the Prediction of Transition Times in Production