PhD
+47 900 84 041
+47 64 97 01 45
ingrid.maage@nofima.no
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Biography Ingrid Måge
I have worked as a senior scientist at Nofima since 2008. My fields of research are multivariate data analysis and design of experiments. In my research I focus on multi-block methods(or data fusion) and multivariate ANOVA. I work mainly with applications in process modelling, and am dedicated to developing methods and strategies for data analysis that provide increased insight and value creation in real applications. Interpretation and understanding are just as important as good predictions. Much of my research revolves around methods of characterising and handling raw material variation in the food industry, as well as better utilization of the large amounts of data collected throughout the value chain.I also work with multivariate analysis of intervention studies, mainly related to gut microbiota. In this context, interpretation and visualization of results is crucial.I have a master degree from the Norwegian University of Science and Technology (NTNU, 2002), and a PhD from the Norwegian University of Life Sciences (UMB, 2006). After my doctorate, I worked for a period in CAMO Software (2006-2008) before joining Nofima.
Ingrid Måge has 50 publications at Nofima:
Hassoun, Abdo; Måge, Ingrid; Schmidt, Walter F.; Temiz, Havva Tümay; Li, Li; Kim, Hae-Yeong; Nilsen, Heidi; Biancolillo, Alessandra; Aït-Kaddour, Abderrahmane; Sikorski, Marek; Sikorska, Ewa; Grassi, Silvia; Cozzolino, Daniel
2020
Big Data: Fem spørsmål matprodusenter bør stille seg.
Måge, Ingrid; Svendsen, Kira; Clemmensen, Line
2020
Digitaliseringens muligheter for norsk matproduksjon.
Måge, Ingrid; Wold, Jens Petter
2020
Digitaliseringens muligheter for norsk matproduksjon.
Måge, Ingrid; Wold, Jens Petter
2020
Digitaliseringens muligheter for norsk matproduksjon.
Måge, Ingrid; Wold, Jens Petter
2020
Hassoun, Abdo; Måge, Ingrid; Schmidt, Walter F.; Temiz, Havva Tümay; Li, Li; Kim, Hae-Yeong; Nilsen, Heidi; Biancolillo, Alessandra; Aït-Kaddour, Abderrahmane; Sikorski, Marek; Sikorska, Ewa; Grassi, Silvia; Cozzolino, Daniel
2020
Næs, Tormod; Romano, Rosaria; Tomic, Oliver; Måge, Ingrid; Smilde, Age K.; Liland, Kristian Hovde
2020
Birkeland, Eline; Gharagozlian, Sedegheh; Birkeland, Kåre I.; Valeur, Jørgen; Måge, Ingrid; Rud, Ida; Aas, Anne-Marie
2020
Steinsholm, Silje; Oterhals, Åge; Underhaug, Jarl; Måge, Ingrid; Malmendal, Anders; Aspevik, Tone
2020
Kure, Cathrine F.; Axelsson, Lars Torsten; Carlehög, Mats; Måge, Ingrid; Jensen, Merete Rusås; Holck, Askild Lorentz
2020
Måge, Ingrid; Risvik, Einar; Wold, Jens Petter
2019
Fremtidens matproduksjon: Uberørt av menneskehender
Måge, Ingrid; Risvik, Einar; Wold, Jens Petter
2019
Performance of methods that separate common and distinct variation in multiple data blocks
Måge, Ingrid; Smilde, Age K.; Van der Kloet, Frans
2019
Wold, Jens Petter; Måge, Ingrid; Løvland, Atle; Sanden, Karen Wahlstrøm; Ofstad, Ragni
2019
Wubshet, Sileshi Gizachew; Wold, Jens Petter; Afseth, Nils Kristian; Böcker, Ulrike; Lindberg, Diana; Ihunegbo, Felicia Nkem; Måge, Ingrid
2018
Lian, Federico; Måge, Ingrid; Lorentzen, Grete Elisabeth; Siikavuopio, Sten Ivar; Øverbø, Kersti; Vang, Birthe; Lindberg, Diana
2018
Rud, Ida; Holm, Jacob Bak; Måge, Ingrid; Kleiveland, Charlotte Ramstad; Tzimorotas, Dimitrios; Lea, Tor Erling; Kristiansen, Karsten; Madsen, Lise; Liaset, Bjørn
2017
Rode, Tone Mari; McLeod, Anette; Måge, Ingrid; Heir, Even; Axelsson, Lars; Holck, Askild Lorentz
2017
Peptide recovery and commercialization by enzymatic hydrolysis of marine biomass
Vang, Birthe; Altintzoglou, Themistoklis; Måge, Ingrid; Wubshet, Sileshi Gizachew; Afseth, Nils Kristian; Whitaker, Ragnhild
2017
Wold, Jens Petter; Bjerke, Frøydis; Måge, Ingrid
2017
Wubshet, Sileshi Gizachew; Måge, Ingrid; Böcker, Ulrike; Lindberg, Diana; Knutsen, Svein Halvor; Rieder, Anne; Airado-Rodriguez, Diego; Afseth, Nils Kristian
2017
Sørheim, Oddvin; Måge, Ingrid; Larsen, Hanne
2017
Automatisk styring av fettinnhold i avskjær ved bruk av prosessanalytisk teknologi
Wold, Jens Petter; Måge, Ingrid
2017
Common and distinct components in data fusion
Smilde, Age K.; Måge, Ingrid; Næs, Tormod; Hankemeier, Thomas; Lips, Miriam B.; Kiers, Henk A. L.; Acar, Evrim; Bro, Rasmus
2017
Extension of SO-PLS to multi-way arrays: SO-N-PLS
Biancolillo, Alessandra; Næs, Tormod; Bro, Rasmus; Måge, Ingrid
2017
Wold, Jens Petter; Bjerke, Frøydis; Måge, Ingrid
2016
Wold, Jens Petter; Bjerke, Frøydis; Måge, Ingrid
2016
McLeod, Anette; Måge, Ingrid; Heir, Even; Axelsson, Lars; Holck, Askild Lorentz
2016
Variable selection in multi-block regression
Biancolillo, Alessandra; Liland, Kristian Hovde; Måge, Ingrid; Næs, Tormod; Bro, Rasmus
2016
Moen, Birgitte; Henjum, Kristi; Måge, Ingrid; Knutsen, Svein Halvor; Rud, Ida; Hetland, Ragna Bogen; Paulsen, Jan Erik
2016
Plum fruit packed in flow packs with absorbent pads and stored at different temperatures
Larsen, Hanne; Måge, Ingrid; Børve, Jorunn; Vangdal, Eivind
2015
Moen, Birgitte; Røssvoll, Elin; Måge, Ingrid; Møretrø, Trond; Langsrud, Solveig
2015
Martin, Adam Dunstan; Afseth, Nils Kristian; Kohler, Achim; Randby, Åshild Taksdal; Eknæs, Margrete; Waldmann, Andres; Dørum, Guro; Måge, Ingrid; Reksen, Olav
2015
High nutrient availability reduces the diversity and stability of the equine caecal microbiota
Hansen, Naja C Kærsgaard; Avershina, Ekaterina; Mydland, Liv Torunn; Næsset, Jon Anders; Austbø, Dag; Moen, Birgitte; Måge, Ingrid; Rudi, Knut
2015
Plum Fruit Packed in Flow Packs with Absorbent Pads and Stored at Different Temperatures
Larsen, Hanne; Måge, Ingrid; Børve, Jorunn; Vangdal, Eivind
2015
Near-Infrared Hyperspectral Imaging of Fusarium-Damaged Oats (Avena sativa L.)
Tekle, Selamawit; Måge, Ingrid; Segtnan, Vegard; Bjørnstad, Åsmund
2015
Combining SO-PLS and linear discriminant analysis for multi-block classification
Biancolillo, Alessandra; Måge, Ingrid; Næs, Tormod
2015
Hansen, Naja C Kærsgaard; Mydland, Liv Torunn; Næsset, Jon Anders; Austbø, Dag; Måge, Ingrid; Rudi, Knut
2014
Næs, Tormod; Tomic, Oliver; Afseth, Nils Kristian; Segtnan, Vegard; Måge, Ingrid
2013
On-line sorting of meat trimmings into targeted fat categories
Måge, Ingrid; Wold, Jens petter; Bjerke, Frøydis; Segtnan, Vegard
2013
Heir, Even; Holck, Askild Lorentz; Omer, Mohammed K.; Alvseike, Ole; Måge, Ingrid; Høy, Martin; Rode, Tone Mari; Sidhu, Maan Singh; Axelsson, Lars
2013
Preference mapping by PO-PLS: Separating common and unique information in several data blocks
Måge, Ingrid; Menichelli, Elena; Næs, Tormod
2012
Næs, Tormod; Måge, Ingrid; Segtnan, Vegard
2011
Reduction of verotoxigenic Escherichia coli in production of fermented sausages
Holck, Askild lorentz; Axelsson, Lars; Rode, Tone Mari; Høy, Martin; Måge, Ingrid; Alvseike, Ole; L'Abée-Lund, Trine; Omer, MK; Granum, Per Einar; Heir, Even
2011
Heir, Even; Holck, Askild lorentz; Omer, Mohammed K.; Alvseike, Ole; Høy, Martin; Måge, Ingrid; Axelsson, Lars
2010
Tøndel, Kristin; Gjuvsland, Arne Bjørke; Måge, Ingrid; Martens, Harald
2010
Martens, Harald; Måge, Ingrid; Tøndel, Kristin; Isaeva, Julia; Høy, Martin; Sæbø, Solve
2010
Regression models with process variables and parallel blocks of raw material measurements
Måge, Ingrid; Mevik, Bjørn-Helge; Næs, Tormod
2008
Optimising production cost and end-product quality when raw material quality is varying
Måge, Ingrid; Næs, Tormod
2007
1. January 2021 – 31. December 2025
Precision will develop enabling technology and knowledge, which will improve and modernize the existing land-based food industry. The novel biotechnological methodology to be developed will in long term potentially be the foundation of a new kind of Norwegian food industry that will produce tomorrow's food in a smart, sustainable and innovative way.
1. November 2020 – 31. October 2028
Digital Food Quality (short named DigiFoods) is a centre for research-based innovation (SFI) with the purpose of developing smart sensor solutions for food quality assessment directly in the processing lines, throughout the food value chains. The obtained food quality information will be used for optimization of both processes and value chains and make the food industry more efficient and sustainable.
1. July 2018 – 30. June 2021
The main goal in Smartbio is to develop novel process analytical technology, which will lead to new product innovations in the Enzymatic protein hydrolysis (EPH).
1. April 2017 – 30. April 2020
Food companies need better control over their production processes in order to improve raw material utilization and obtain stable and good product quality. OPTIMAT will use Big Data Analytics to identify important relationships between raw material quality, processing and end-product quality. .
9. February 2017 – 31. December 2022
Over almost 40 years, Nofima has built up a strong scientific community in the field of spectroscopy - rapid and non-destructive measurements for process optimization. We possess solid expertise within an international format and a modern instrument platform, which is unique in Norway and comparable to the best in Europe. We wish to develop this further by means of establishing the strategic research initiative Spectec.
1. January 2017 – 31. December 2020
The main goal of the strategic research program FoodMicro-Pack is to contribute to production and offering of safe and durable food, optimal packaging concepts and reduced food waste in the Norwegian food sector.
1. January 2016 – 31. December 2022
With the use of modern, research-based process technology and expertise, unused or under utilized biomass of marine or terrestrial origin can be used for new, marketable products. We coordinate, develop and increase Nofima’s total expertise related to the future of sustainable protein production. Peptek is a strategic research initiative focused on sustainability, total utilization, food safety and future food security.