Hjem
Håvard  G Frøysas bilde

Håvard G Frøysa

Forsker
  • E-postHavard.Froysa@uib.no
  • Telefon+47 55 58 26 86+47 951 64 663
  • Besøksadresse
    Realfagbygget, Allégt. 41
    Rom 
    4B13d
  • Postadresse
    Postboks 7803
    5020 Bergen
Vitenskapelig artikkel
  • 2020. Experimental design for parameter estimation in steady-state linear models of metabolic networks. Mathematical Biosciences.
  • 2018. LC-MS/MS based profiling and dynamic modelling of the steroidogenesis pathway in adrenocarcinoma H295R cells. Toxicology in Vitro. 332-341.
  • 2018. Evaluating model reduction under parameter uncertainty. BMC Systems Biology. 1-10.
  • 2018. Effects of defined mixtures of POPs and endocrine disruptors on the steroid metabolome of the human H295R adrenocortical cell line. Chemosphere. 328-339.
  • 2016. Simulating spatial and temporal varying CO2 signals fromsources at the seafloor to help designing risk-basedmonitoring programs. Journal of Geophysical Research (JGR): Oceans. 745-757.
Populærvitenskapelig foredrag
  • 2020. Fra Lego-roboter til forskere.
  • 2017. Matematikk i hverdagen.
  • 2016. Matematikk i praksis.
Vitenskapelig foredrag
  • 2018. dCOD 1.0: DECODING THE SYSTEMS TOXICOLOGY OF ATLANTIC COD (GADUS MORHUA).
  • 2017. Structural identifiability of kinetic parameters.
  • 2017. Model reduction under parameter uncertainty.
  • 2017. Model reduction under parameter uncertainty.
Mastergradsoppgave
  • 2015. Design of a monitoring program in a varying marine environment.
Doktorgradsavhandling
  • 2020. Estimation and identifiability of kinetic parameters in dynamical models of biochemical reaction networks.
Poster
  • 2018. Experimental design for estimation of first order kinetic parameters in steady-state metabolic networks.
  • 2017. dCod 1.0 decoding the systems toxicology of Atlantic cod.
  • 2017. Structural identifiability of kinetic parameters.
  • 2017. Model reduction under parameter uncertainty.
  • 2017. Mathematical modeling of regulatory interactions in the fatty acid synthesis pathway.
  • 2017. Mathematical modeling of regulatory interactions in the fatty acid synthesis pathway.
  • 2017. Bayes’ theorem as the fundament to design monitoring programs.
  • 2016. Bayes’ theorem as the fundament to design monitoring programs.

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