Research 

As food scientists we are in the absolute frontline when it comes to formulating new and sustainable initiatives for providing a stable, safe and environmentally sane food supply for the future.

My research is centered on how advanced chemical sensors combined with Process Analytical Technology (PAT) and Deep Learning/AI can be used to optimize food manufacturing processes. The tools I research and develop enables production where the highest food quality and food safety is always mainined despite changes or limitations in raw materials or resources. Sustainability and re-use of resources are very important quality parameters in the modern food supply chain, and my research provides technological solutions that minimizes the manufacturing enviromental footprint.

Background 

I have more than 20 years of experience in developing measurement equipment for the food industry prior to obtaining my PhD which gives me a unique take on researching food manufacturing applications. I focus on the application of spectral sensors in on-line scenarios for process optimization and sustainable production. I have utilized my background in the industry to formulate new research topics for Quality by Design and Process Analytical Technology - in these fields, I apply my knowledge of project management, multivariate data processing (chemometrics), software development, robotization, automation, electronics and system design.

Scientific methods

• Highly skilled in vibrational spectroscopy (apparatus design, experiment design, theory & applications)
• Highly skilled in the use of chemometric tools (PCA, PLS, PLSDA etc.), their application and theory
• Highly skilled in Gas Chromatography & Mass Spectrometry (GCMS, GC-FID), injection methods, equipment operation, maintenance, experimental design and data evaluation)
• Very skilled in application of Solid Phase Micro-Extraction (SPME) techniques for GC/MS applications
• Skilled in application of static headspace sampling techniques for GC/MS applications
• Very skilled in application of automatic handling (derivatization etc) for large volume sample counts
• Very skilled in application of thermal adsorption/desorption sampling techniques & equipment for GC/MS applications
• Fair skills in several mathematical disciplines (emphasis on matrix algebra)
• Fair skills in statistics (application and theory)
• Very skilled in ultrasonic measurement and image-forming techniques, their theory and application
• Entry-level knowledge of relativistic and quantum physics 
• Robotics for online measurement, control systems and integration
• Fair skills in artificial intelligence modelling and deep learning systems on time series data

Project management, 15 years experience in 

• industrial application project development & specification
• on-site management of industrial installation work
• practical involvement in electrical and mechanical installation work

IT and Software development

• 20+ years’ experience in C++ and C
• 20+ years’ experience with HTML/PHP web programming
• 20+ years’ experience in relational database design (primarily Oracle 8-10i, MySQL and PorstgreSQL. Minor experience with SQL Server)
• 20+ years’ experience with the Linux operating system, including the kernel framework (from 2.4 onwards) for
• device driver development. Particular focus on system development for real-time on-line data processing systems and their associated GUIs.
• 20+ years’ experience developing applications in the Qt framework  
• 20+ years’ experience with the Matlab programming language and framework, including external c/c++ mex interfaces (rapid data access, parallel threaded calculus - emphasis on chemometric applications)
• Fair experience in use of the CUDA computing platform
• High experience with “minor” languages from the Linux toolbox (Bash shell scripting, awk, perl, regexp etc).
• Very familiar with the Intel performance primitives and Math Kernel Libraries
• Very skilled in Python programming
• Fair experience with development, implementation and use of camera interfaces and vision applications, emphasis on quality grading of meat products
• Fair experience with PLC programming (Allen-Bradley Micrologix)
• Fair experience with software development for embedded controllers
• Fair skills in hardware design and schematic interpretation, primarily digital applications

Prices and awards

• 2019: Awarded "Course of the year" by the Department of Food Science for "Rapid Food Analysis Method" 
• 2019: Rewarded the 2019 Niels Foss Talent Prize
• 2020: Nominated by the B.Sc. students on the Food Science education as Faculty teacher of the year

Education, Highlights

• June, 1998 - Engineering Technician, Electronics, HND Frederiksberg Tekniske Skole,
• Denmark
• January 2012 - Participant in the DNATF-funded Pasteur-program (project manager), Harvard Executive Education, Harvard University, Cambridge, USA
• April, 2015 – Ph.d. in Food Technology, University of Copenhagen

Activities highlights

• January 2012 - Participant in the DNATF-funded "Pasteur program: Leading the Virtual Company”, a project manager education designed and executed by Harvard University, Cambridge, USA, targeting management of projects where innovation between private companies and public research institutions plays a significant role.
• 2008 – 2011 - Project manager on the Danish National Advanced Technology Foundation sponsored project "NitFom"
• 2012-2014: Project manager on the Danish National Advanced Technology Foundation sponsored project "ENCMP"
• Jan 2009 - now: Censor on the BSc/MSc course "Quantitative Food Spectroscopy"
• Jan 2017: Responsible for and teacher on the course “Rapid Food Quality Analysis Methods”, a 5 ETCS point mandatory course for all BSc. Students on the Food Science (Technology specialization).
• Feb 2017: Case instructor on the course “Quantiative Data Analysis”, a mandatory course for all BSc. Students on the Food Science.
• 2016, 2017: Key responsible member of the organizing committee for the 2017 International Conference On Near-Infrared Spectroscopy (ICNIRS 2017)
• 2016-2028: Project manager on the project “Better utilization of protein side streams”
• 2018-2020: PI & Project manager on the project “QC-CREW”
• 2018-2021: PI & Project manager on the project “SayCheese” 

Miscellaneous

• Fair experience with 3D visual expression and modeling of technical illustrations and animations using the Blender VFX pipeline 

Relevant Employment

• June, 1998: Product engineer. SFK Technology A/S, Herlev (now Carometec A/S).
• December, 1999: Software engineer, database- and data collection systems. SFK Technology A/S, Herlev (now Carometec A/S).
• April, 2001: Development engineer (algorithms and modeling). SFK Technology A/S,Herlev (Now Carometec A/S).
• January, 2002: Research- and development manager. SFK Technology A/S, Herlev (Now Carometec A/S)
• August, 2009: Research scientist, University of Copenhagen - Part-time (50%) employment.
• June, 2012: Senior Specialist (Chemometrics), Carometec A/S. Part-time employment.
• June, 2012: Ph.d. fellow, University of Copenhagen
• April, 2015 - Postdoc, Department of Food Science, University of Copenhagen.
• March 2017 – Associate professor, Department of Food Science, University of Copenhagen.

• Danish - Native proficiency
• English - Full professional proficiency (with high technical emphasis)
• German - Limited professional proficiency
• 8+ years experience in sales presentation/assisting, technical presentations, non-technical formulation