Håvard Guldbrandsen Frøysa

Postdoktor

E-post: haavard.guldbrandsen.froeysa@hi.no

Telefon: 95164663

Avdeling: Oseanografi og klima

Arbeidsområde
Curriculum Vitae
Publikasjoner

Arbeidsområde

Postdoktor i Symbioses III-prosjektet.

Curriculum Vitae

Ansettelse:
2020 - Postdoktor, Havforskningsinstituttet
2019 - 2020 Forsker, Matematisk institutt, UiB
2015 - 2019 Stipendiat, Matematisk institutt, UiB

Utdanning:
2020 PhD, anvendt matematikk, UiB
2015 MSc, anvendt matematikk, UiB

Publikasjoner

Faglige foredrag

2020

Fra Lego-roboter til forskere

Frøysa, Håvard G

2020

A multi-omics approach to study Ppar-mediated regulation of lipid metabolism in Atlantic cod (Gadus morhua)

Marta Eide, Anders Goksøyr, Fekadu Yadetie, Alejandra Gilabert, Zdenka Bartosova, Håvard G Frøysa, Shirin Fallahi, Xiaokang Zhang, Nello Blaser, Inge Jonassen, Per Bruheim, Guttorm Alendal, Morten Brun, Cinta Porte, Odd Andre Karlsen

2018

dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA)

Anders Goksøyr, Guttorm Alendal, Libe Aranguren Abadía, Augustine Arukwe, Nello Blaser, Morten Brun, Malin Celander, Karina Dale, Dorothy Jane Dankel, Nancy Denslow, Marta Eide, Shirin Fallahi, Håvard G Frøysa, Fatemeh Ghavidel, Siri Øfsthus Goksøyr, Jared V. Goldstone, Bjørn Einar Grøsvik, Eileen Marie Hanna, Ketil Hylland, Inge Jonassen, Essa Ahsan Khan, Rune Kleppe, Roger Lille-Langøy, Jan Ludvig Lyche, Ian Mayer, Mette Helen Bjørge Müller, Pål Asgeir Olsvik, Daniela Maria Pampanin, Cinta Porte, Hans J. Skaug, John J. Stegeman, Zhanna Tairova, Fekadu Yadetie, Xiaokang Zhang, Odd Andre Karlsen

2017

Structural identifiability of kinetic parameters

Håvard G Frøysa, Hans J. Skaug, Guttorm Alendal

2017

Model reduction under parameter uncertainty

Nello Blaser, Shirin Fallahi, Håvard G Frøysa

2017

Matematikk i hverdagen

Frøysa, Håvard G

2017

Model reduction under parameter uncertainty

Nello Blaser, Shirin Fallahi, Håvard G Frøysa

2016

Matematikk i praksis

Frøysa, Håvard G

Vitenskapelige artikler (NVI)

2020

Experimental design for parameter estimation in steady-state linear models of metabolic networks

Håvard G Frøysa, Hans J. Skaug, Guttorm Alendal

Mathematical Biosciences 319

2018

LC-MS/MS based profiling and dynamic modelling of the steroidogenesis pathway in adrenocarcinoma H295R cells

Mohammed Adhmed Abdel Ghafar Kareem Eldin, Håvard G Frøysa, Odd Andre Karlsen, Jørn V. Sagen, Gunnar Mellgren, Steven Verhaegen, Erik Ropstad, Anders Goksøyr, Ralf Kellmann

Toxicology in Vitro 52 p. 332-341

2018

Evaluating model reduction under parameter uncertainty

Håvard G Frøysa, Shirin Fallahi, Nello Blaser

BMC Systems Biology 12 p. 1-10

2018

Effects of defined mixtures of POPs and endocrine disruptors on the steroid metabolome of the human H295R adrenocortical cell line

Kareem Eldin Mohammed Ahmed, Håvard G Frøysa, Odd Andre Karlsen, Nello Blaser, Karin Elisabeth Zimmer, Hanne Friis Berntsen, Steven Verhaegen, Erik Ropstad, Ralf Kellmann, Anders Goksøyr

Chemosphere 218 p. 328-339

2016

Simulating spatial and temporal varying CO2 signals fromsources at the seafloor to help designing risk-basedmonitoring programs

Alfatih Omer Mohammed Ahmed Ali, Håvard G Frøysa, Helge Avlesen, Guttorm Alendal

Journal of Geophysical Research (JGR): Oceans 121 p. 745-757

Rapporter og avhandlinger

2020

Estimation and identifiability of kinetic parameters in dynamical models of biochemical reaction networks

Håvard G Frøysa, Guttorm Alendal, Hans J. Skaug, Frank Nilsen

2015

Design of a monitoring program in a varying marine environment

Håvard G Frøysa, Guttorm Alendal

Poster

2018

Experimental design for estimation of first order kinetic parameters in steady-state metabolic networks

Håvard G Frøysa, Hans J. Skaug, Guttorm Alendal

2017

Bayes’ theorem as the fundament to design monitoring programs.

Guttorm Alendal, Jeremy Blackford, Baixin Chen, Helge Avlesen, Abdirahman Omar, Jarle Berntsen, Hans J. Skaug, Håvard G Frøysa, Kristian Gundersen

2017

Mathematical modeling of regulatory interactions in the fatty acid synthesis pathway

Shirin Fallahi, Rune Kleppe, Anders Goksøyr, Guttorm Alendal, Hans J. Skaug, Håvard G Frøysa

2017

Structural identifiability of kinetic parameters

Håvard G Frøysa, Hans J. Skaug, Guttorm Alendal

2017

Model reduction under parameter uncertainty

Nello Blaser, Shirin Fallahi, Håvard G Frøysa

2017

Mathematical modeling of regulatory interactions in the fatty acid synthesis pathway

Shirin Fallahi, Rune Kleppe, Anders Goksøyr, Guttorm Alendal, Hans J. Skaug, Håvard G Frøysa

2017

dCod 1.0 decoding the systems toxicology of Atlantic cod

Siri Øfsthus Goksøyr, Anders Goksøyr, Odd Andre Karlsen, Fekadu Yadetie, Marta Eide, Karina Dale, Libe Aranguren, Roger Lille-Langøy, Dorothy Jane Dankel, Guttorm Alendal, Morten Brun, Hans J. Skaug, Nello Blaser, Shirin Fallahi, Håvard G Frøysa, Inge Jonassen, Eileen Marie Hanna, Fatemeh Ghavidel, Xiaokang Zhang, Augustine Arukwe, Essa Ahsan Khan, Malin C. Celander, Nancy Denslow, Bjørn Einar Grøsvik, Ketil Hylland, Zhanna Tairova, Jan Ludvig Lyche, Mette Helen Bjørge Müller, Pål Asgeir Olsvik, Daniela Maria Pampanin, Cinta Porte, Jed Goldstone, John Stegeman

2016

Bayes’ theorem as the fundament to design monitoring programs.

Guttorm Alendal, Jeremy Blackford, Baixin Chen, Helge Avlesen, Abdirahman Omar, Jarle Berntsen, Hans J. Skaug, Håvard G Frøysa

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Håvard Guldbrandsen Frøysa

Arbeidsområde

Curriculum Vitae

Publikasjoner

Faglige foredrag

Fra Lego-roboter til forskere

A multi-omics approach to study Ppar-mediated regulation of lipid metabolism in Atlantic cod (Gadus morhua)

dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA)

Structural identifiability of kinetic parameters

Model reduction under parameter uncertainty

Matematikk i hverdagen

Model reduction under parameter uncertainty

Matematikk i praksis

Vitenskapelige artikler (NVI)

Experimental design for parameter estimation in steady-state linear models of metabolic networks

LC-MS/MS based profiling and dynamic modelling of the steroidogenesis pathway in adrenocarcinoma H295R cells

Evaluating model reduction under parameter uncertainty

Effects of defined mixtures of POPs and endocrine disruptors on the steroid metabolome of the human H295R adrenocortical cell line

Simulating spatial and temporal varying CO2 signals fromsources at the seafloor to help designing risk-basedmonitoring programs

Rapporter og avhandlinger

Estimation and identifiability of kinetic parameters in dynamical models of biochemical reaction networks

Design of a monitoring program in a varying marine environment

Poster

Experimental design for estimation of first order kinetic parameters in steady-state metabolic networks

Bayes’ theorem as the fundament to design monitoring programs.

Mathematical modeling of regulatory interactions in the fatty acid synthesis pathway

Structural identifiability of kinetic parameters

Model reduction under parameter uncertainty

Mathematical modeling of regulatory interactions in the fatty acid synthesis pathway

dCod 1.0 decoding the systems toxicology of Atlantic cod

Bayes’ theorem as the fundament to design monitoring programs.

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