Randers, Central Denmark Region, Denmark
I am a technically grounded Project Manager who drives business value by streamlining complex technical processes and securing funding for ambitious projects. I bridge the gap between deep specialist knowledge and commercial strategy. My philosophy is that we shouldn't just manage projects—we must optimize how they are delivered. I combine my background as an Air Quality Expert with Python programming to automate manual workflows and enhance decision-making. At DMR, for example, I developed tools that reduced complex data extraction tasks from 20+ hours to just a few minutes. This efficiency gain enabled a strategic shift in our business model for core services—moving from hourly billing to value-based fixed pricing. This transition has significantly increased project profitability while creating financial buffers for quality assurance. Additionally, I bring a strong track record in fundraising and strategic partnerships. I have documented success in securing over 12 million DKK for research and innovation projects and have extensive experience leading cross-border consortia. I contribute with: - Commercial Process Optimization: Transforming technical data into scalable, profitable business solutions. - Strategic Fundraising: High success rate on grant applications and building winning consortia. - Technical Depth: Expert knowledge in Air Quality, Dispersion Modelling (OML), and GIS. Supported by a strong IT foundation as a Linux user for +15 years. - Leadership & Collaboration: Translating technical complexity into clear decision-making foundations for clients and management. Personal: When I am not working with data, I pursue music at a high level. My passion has connected me with communities worldwide—from playing the oboe in the Doha Community Orchestra and Worcester Baroque Ensemble, to singing in Longyearbyen, Svalbard. In Denmark, I have explored rhythmic genres with RØST and performed with Aarhus Harmoniorkester. Additionally, I established and have run a literature club for 15 years. Whether in music or literature, I value the deep focus and long-term relationships that flourish when people gather around a shared passion.
My focus is on direct client contact and technical problem-solving in air quality. I advise industry, agriculture, and municipalities on everything from simple odor screenings to complex industrial calculations. Core tasks and results: - Technical consulting & OML calculations: I manage the entire process from initial calculations to final regulatory approval, ensuring that technical data is translated into robust decision-making foundations. - Strategic dialogue & negotiation: I ensure progress in our cases through dialogue with authorities, translating complex environmental engineering into tangible solutions for non-specialists. - Specialized air quality tasks: Responsible for atypical projects, including source tracking during dust fallout, VOC inventories, and the design of measurement programs. - Digital Infrastructure (Proof of Concept): Built a complete "Document Intelligence" system from scratch in Python for DMR's internal knowledge sharing. The system successfully processed historical data from approx. 48,000 reports (2019-2025) via: - Resource-Optimized Architecture: Strict memory management, batching, and hybrid GPU/CPU processing made it possible to execute the entire pipeline locally on a standard laptop (16 GB RAM). - ML Classification: A two-stage model (Screener/Analyzer) that rapidly filters out irrelevant data. - Custom NLP/NER (SpaCy): Trained specialized language models to automatically extract metadata (client names, titles, dates, etc.). - Augmentation & Deduplication: WFS integration for enhanced address recognition, plus RAM-optimized duplicate identification via Cosine Similarity and TF-IDF. - Business optimization: Increased the department's contribution margin through value-based pricing and significantly reduced manual time spent by automating administrative workflows.
As Senior Specialist, my primary focus shifted towards business development, project acquisition, and strategic partnerships, while maintaining a strong technical role in selected R&D projects. I acted as a bridge-builder between deep technical expertise and commercial value creation. Key Results & Fundraising: - Strategic Fundraising: Secured over 12 million DKK in external funding (including 4.5 million DKK from EU projects) since 2019. In 2023 alone, I secured 6 million DKK for new projects through focused acquisition efforts. - Partnerships: Served as the "go-to" commercial partner responsible for mobilizing private companies and building strong consortia for grant applications. - Pipeline Management: Drove an annual project pipeline of over 10 million DKK with a documented high hit rate on competitive funding. Technical Leadership & Consultancy: - Technical Expertise: Advisor on advanced projects within data modelling, sensor integration, and environmental monitoring. - Mentoring: Role model for younger colleagues, focusing on knowledge sharing and 'best practice' within project development and application processes.
In this role, I translated my research background into practical client solutions. I was central to the development and implementation of new technologies within air quality and sensors, operating at the intersection of data science and physical measurement campaigns. Key Results & Technical Development: - Hands-on Implementation: Designed and executed extensive measurement campaigns (e.g., Clean Air Test Zone) and established sensor networks. I managed the full workflow from hardware setup to advanced data processing. - Early Fundraising Success: Began my path toward commercial business development as a co-applicant and driver in securing the EU project DivAirCity—a pivotal success that laid the foundation for my later fundraising achievements. - Methodology Development: Implemented new methods for validating low-cost sensors, elevating the institute's technical capabilities and creating new consultancy products. Consultancy & Dissemination: - Decision Support: Produced reports and analyses based on state-of-the-art knowledge, serving as a direct decision-making foundation for private companies and authorities. - Mentoring: served as a technical sparring partner and supervisor for students developing new measurement platforms.
As a postdoctoral researcher on the Horizon 2020 iSCAPE project, I was the lead scientific and practical coordinator of the Guildford Living Lab. This period marked my first comprehensive experience with citizen engagement and living lab facilitation, as well as my first time holding significant coordinating responsibility in an EU research consortium. My role encompassed end-to-end management of living lab activities—designing, running and evaluating air quality monitoring campaigns with low-cost sensors in real urban settings, and building partnerships with citizens, local authorities, and other stakeholders. I organized and facilitated co-creation workshops, handled the adaptation and implementation of project methodologies, and ensured participant engagement throughout. This demanded highly developed skills in stakeholder management, clear communication across professional and non-professional audiences, and the flexibility to troubleshoot unforeseen practical and interpersonal challenges. In addition, I took on responsibilities in work package coordination: overseeing deliverables, ensuring quality assurance in both research outputs and official project reporting, and liaising with the project management and other international partners. My work led to the successful integration of data-driven research with participatory urban innovation, resulting in peer-reviewed publications and best practice deliverables for both EU reporting and scientific dissemination. This experience provided me with a unique skill set in project coordination and citizen-driven research, complementing my technical background and establishing my capability to drive complex, interdisciplinary, real-world projects in an international setting.
At the University of Worcester, my main responsibility was research on the atmospheric dispersion and large-scale mapping of airborne biological particles—focusing on the spread and ecology of the ash dieback pathogen (Hymenoscyphus pseudoalbidus). I was lead author and principal analyst on two core papers, where I developed and applied advanced methods in geospatial analysis, remote sensing (including Sentinel-2), and environmental modelling. My work included the design and implementation of novel computational pipelines to map tree cover and cropping practices, assess weed infestation, and integrate satellite time series with field data for landscape-scale disease risk analysis. I used R and advanced GIS tools for spatial statistics, classification, clustering, and workflow automation. I also interpreted environmental and biological datasets, collaborated closely with bioinformaticians, and played a key role in synthesizing results for publication. Although I contributed to fieldwork and sample collection as needed—including navigating stringent FERA-approved biosafety protocols for ash dieback research—my main focus was on data-driven modelling, quantitative analysis, and translating findings into peer-reviewed scientific output. In addition, I independently taught a demanding multivariate calculus course. Preparing and delivering this course required several hundred hours of study and substantially improved my ability to communicate advanced quantitative topics. This postdoc period consolidated my expertise in computational environmental science and remote sensing, and demonstrated my ability to deliver high-impact, first-author research at the interface of data, modelling, and applied bioenvironmental science.
As a PhD student, I was solely responsible for developing, implementing, and analyzing advanced mathematical models for air pollution in complex urban environments. My work was centered on the Operational Street Pollution Model (OSPM), which I extended through both theoretical and practical research. I worked intensively with parameter estimation, identifiability and sensitivity analyses, and uncertainty quantification to ensure the robustness and applicability of the model. All data analyses were performed using Matlab, and I programmed custom scripts to process and analyze large datasets from long-term environmental monitoring programs. Additionally, I implemented new algorithms for modeling inhomogeneous emissions and urban wind fields, which were then validated against Danish and international measurement series. I was responsible for designing test runs, critically analyzing results, and documenting methods and findings throughout. My work covered all research phases: from problem definition, literature review, and method development to coding, result analysis, interdisciplinary communication, and scientific writing. I developed a strong ability to combine mathematical modeling with practical applications relevant for environmental management and public health studies. The position required a high degree of independence, discipline, and the capacity to manage complex, multi-year research tasks and variable data quality. Led the research and was first author on three peer-reviewed articles based on my PhD work.