Louis C. Groff II, PhD
3 SlideShares 2 Seguidores 3 Seguindos
Personal Information
Cargo
Chemist (GS-12)
Setor
Government / Military
Site
orcid.org/0000-0002-6357-0508
Sobre
Ph.D. physical chemist working to advance Generalized Read-Across methodologies for supplementing toxicological data gaps via in silico human and rat liver metabolism in Python. Additionally collaborating to advance Non-Targeted Analysis (NTA) methods on gas and liquid chromatography-based high-resolution mass spectrometry (HRMS) datasets for implementation in risk-based contexts using advanced statistical data analysis and machine learning techniques in R and Python. Past experiences include nine years of expertise in home-building instrumentation, RS232/GPIB hardware control/automation, synchronization, data acquisition/analysis, Monte Carlo simulations, and ultrafast spectroscopy.
Detalhes do contato
Marcadores
spectroscopy statistics fluorescence ftir infrared ultrafast biophysics biochemistry heat flow enzymes modeling monte carlo simulation lifetime polymers microscopy oecd qsar toolbox in silico prediction times biotransformer metabolism environmental protection agency estimation untargeted r language python prediction interval brita activated carbon analysis quantitative orise epa government science environment drinking water nontarget non-targeted analysis catalysis charge transport time resolved infrared instrumentation energy metalloenzymes nanoparticles quenching diffusion solar energy imaging dynamics
Ver mais
Personal Information
Cargo
Chemist (GS-12)
Setor
Government / Military
Site
orcid.org/0000-0002-6357-0508
Sobre
Ph.D. physical chemist working to advance Generalized Read-Across methodologies for supplementing toxicological data gaps via in silico human and rat liver metabolism in Python. Additionally collaborating to advance Non-Targeted Analysis (NTA) methods on gas and liquid chromatography-based high-resolution mass spectrometry (HRMS) datasets for implementation in risk-based contexts using advanced statistical data analysis and machine learning techniques in R and Python. Past experiences include nine years of expertise in home-building instrumentation, RS232/GPIB hardware control/automation, synchronization, data acquisition/analysis, Monte Carlo simulations, and ultrafast spectroscopy.
Marcadores
spectroscopy statistics fluorescence ftir infrared ultrafast biophysics biochemistry heat flow enzymes modeling monte carlo simulation lifetime polymers microscopy oecd qsar toolbox in silico prediction times biotransformer metabolism environmental protection agency estimation untargeted r language python prediction interval brita activated carbon analysis quantitative orise epa government science environment drinking water nontarget non-targeted analysis catalysis charge transport time resolved infrared instrumentation energy metalloenzymes nanoparticles quenching diffusion solar energy imaging dynamics
Ver mais