Raymond Yang

Professor Emeritus Environmental and Radiological Health Sciences

                    stdClass Object
(
    [AddressPrivacy] => 1
    [BusinessAddress1] => 
    [BusinessAddress2] => 
    [BusinessCity] => 
    [BusinessPostalCode] => 
    [BusinessState] => 
    [CSUId] => 0
    [DepartmentGroup] => CVMBS Environmental & Radiological Health Sciences Dept
    [DirectoryPrivacy] => 1
    [EName] => rshyang
    [EmailAddress] => Raymond.Yang@ColoState.EDU
    [EmailPrivacy] => 1
    [EmployeeCategory] => Faculty
    [EmployeeTitle] => Professor Emeritus
    [EmployeeType] => Emeritus
    [FirstName] => Raymond
    [GraduationYear] => 
    [HasMemberCV] => 
    [Id] => 4569
    [InternalTitle] => Professor Emeritus
    [LastName] => Yang
    [MemberContacts] => stdClass Object
        (
            [MemberContactResponse] => stdClass Object
                (
                    [ContactTypeDescription] => Office
                    [Id] => 3715
                    [IsPrimary] => 
                    [PhoneNumber] => 970-491-5652
                )

        )

    [MemberDirectoryProfile] => stdClass Object
        (
            [Id] => 736
            [ProfileMetaData] => 
            [ProfileText] => Dr. Yang's research interests are Physiologically Based Pharmacokinetic/Pharmacodynamic (PBPK/PD) Modeling, Biologically Based Dose Response (BBDR) Modeling, Reaction Network Modeling, Chemical Mixture Toxicology, Toxicologic Interactions, Carcinogenesis/ Neuro-Developmental Toxicology, Risk Assessment.

Dr. Yang has extensive experience in toxicology in industry, government, and academia. He established and developed the Quantitative and Computational Toxicology Group at CSU. Dr. Yang believes that the application of computer to toxicology, just as computer applications in our life, will become more and more prevalent. Thus, the development of Virtual Cells, Virtual Organs, Virtual Animals, and Virtual Humans is only the matter of time. In that sense, the CSU Quantitative and Computational Toxicology Group is at the beginning of establishing a new form of "bioinformatics" in that they are building the pieces of the puzzle on the complex biological processes involved in toxicology.

        )

    [MiddleName] => H
    [NamePrivacy] => 1
    [OfficeBldgName] => 
    [OfficeRoomName] => 
    [OtherName] => Raymond
    [PhonePrivacy] => 1
    [StudentLevel] => 
    [Website] => 
)

                

About Raymond

Dr. Yang's research interests are Physiologically Based Pharmacokinetic/Pharmacodynamic (PBPK/PD) Modeling, Biologically Based Dose Response (BBDR) Modeling, Reaction Network Modeling, Chemical Mixture Toxicology, Toxicologic Interactions, Carcinogenesis/ Neuro-Developmental Toxicology, Risk Assessment. Dr. Yang has extensive experience in toxicology in industry, government, and academia. He established and developed the Quantitative and Computational Toxicology Group at CSU. Dr. Yang believes that the application of computer to toxicology, just as computer applications in our life, will become more and more prevalent. Thus, the development of Virtual Cells, Virtual Organs, Virtual Animals, and Virtual Humans is only the matter of time. In that sense, the CSU Quantitative and Computational Toxicology Group is at the beginning of establishing a new form of "bioinformatics" in that they are building the pieces of the puzzle on the complex biological processes involved in toxicology.

Education

Ph.D. - Toxicology; Entomology, North Carolina State University, 1970M.S. - Toxicology; Entomology, North Carolina State University, 1967B.S. - Biology, National Taiwan University, 1963

Publications

Yang, R. S. H. 2018. Toxicology and Risk Assessment of Chemical Mixtures and Multiple Stressors, in Comprehensive Toxicology. 3rd Edition, Vol. 1. General Principles, Ed. D. L. Eaton, Elsevier Ltd., Oxford, England, pp. 489-518.Lin, Z., Jaberi-Douraki, M., He, C., Yang, R. S. H., Fisher, J. W., Riviere, J. E. 2017. Performance Assessment and Translation of Physiologically Based Pharmacokinetic Models from acslX™ to Berkeley Madonna™, MATLAB®, and R language: Oxytetracycline and Gold Nanoparticles as Case Examples. Toxicol. Sci. 158:23-35. DOI: https://doi.org/10.1093/toxsci/kfx070.Yang, R. S. H., Weijs, L., McDougall, R., and Housand, C. 2015. The Application of PBPK Modeling, Bayesian Approach, and the Utilization of Markov Chain Monte Carlo Simulation in Risk Assessment, in Toxicology and Risk Assessment, Eds. Anna M. Fan, Elaine M. Khan, and George V. Alexeeff, Pan Stanford Publishing Pte. Ltd., pp. 264-299.Lehmann, G. M., Luukinen, B., Henning, C., Verner, M-A., Assimon, S. A., LaKind, J. S., McLanahan, E. D., Phillips, L. J., Davis, M. H., Powers, C. M., Hines, E. P., Haddad, S., Longnecker, M. P., Poulsen, M. T., Farrer, D. G., Marchitti, S. A., Tan, Y-M., Sagiv, S. K., Welsh, C., Swartout, J. C., Campbell, Jr., J. L., Foster, W. G., Francis, B. M., Yang, R. S. H., Barnett, J. B., El-Masri, H. A., Fenton, S. E., Simmons, J. E., Tornero-Velez, R. 2014. Improving the risk assessment of lipophilic persistent environmental chemicals in breast milk. Crit. Rev. Toxicol. 44:600-617.Weijs, L., Yang, R. S. H., Das, K., Covaci, A., and Blust, R. 2013. Application of Bayesian population PBPK modeling and Markov Chain Monte Carlo simulation to pesticide kinetics studies in protected marine mammals: DDT, DDE, DDD in harbour porpoises. Environ. Sci. Technol. 47:4365-4374.

                
stdClass Object ( [GetMemberByIdResult] => stdClass Object ( [AddressPrivacy] => 1 [BusinessAddress1] => [BusinessAddress2] => [BusinessCity] => [BusinessPostalCode] => [BusinessState] => [CSUId] => 0 [DepartmentGroup] => CVMBS Environmental & Radiological Health Sciences Dept [DirectoryPrivacy] => 1 [EName] => rshyang [EmailAddress] => Raymond.Yang@ColoState.EDU [EmailPrivacy] => 1 [EmployeeCategory] => Faculty [EmployeeTitle] => Professor Emeritus [EmployeeType] => Emeritus [FirstName] => Raymond [GraduationYear] => [HasMemberCV] => [Id] => 4569 [InternalTitle] => Professor Emeritus [LastName] => Yang [MemberContacts] => stdClass Object ( [MemberContactResponse] => stdClass Object ( [ContactTypeDescription] => Office [Id] => 3715 [IsPrimary] => [PhoneNumber] => 970-491-5652 ) ) [MemberDirectoryProfile] => stdClass Object ( [Id] => 736 [ProfileMetaData] => [ProfileText] => Dr. Yang's research interests are Physiologically Based Pharmacokinetic/Pharmacodynamic (PBPK/PD) Modeling, Biologically Based Dose Response (BBDR) Modeling, Reaction Network Modeling, Chemical Mixture Toxicology, Toxicologic Interactions, Carcinogenesis/ Neuro-Developmental Toxicology, Risk Assessment. Dr. Yang has extensive experience in toxicology in industry, government, and academia. He established and developed the Quantitative and Computational Toxicology Group at CSU. Dr. Yang believes that the application of computer to toxicology, just as computer applications in our life, will become more and more prevalent. Thus, the development of Virtual Cells, Virtual Organs, Virtual Animals, and Virtual Humans is only the matter of time. In that sense, the CSU Quantitative and Computational Toxicology Group is at the beginning of establishing a new form of "bioinformatics" in that they are building the pieces of the puzzle on the complex biological processes involved in toxicology. ) [MiddleName] => H [NamePrivacy] => 1 [OfficeBldgName] => [OfficeRoomName] => [OtherName] => Raymond [PhonePrivacy] => 1 [StudentLevel] => [Website] => ) )
stdClass Object ( [GetDirectoryInfoByMemberIdResult] => stdClass Object ( [DirectoryInfoResponse] => Array ( [0] => stdClass Object ( [DirectoryDescription] => Ph.D. - Toxicology; Entomology [DirectoryHeader] => North Carolina State University [DirectoryNotes] => [DirectoryType] => Degree [DirectoryYear] => 1970 ) [1] => stdClass Object ( [DirectoryDescription] => M.S. - Toxicology; Entomology [DirectoryHeader] => North Carolina State University [DirectoryNotes] => [DirectoryType] => Degree [DirectoryYear] => 1967 ) [2] => stdClass Object ( [DirectoryDescription] => B.S. - Biology [DirectoryHeader] => National Taiwan University [DirectoryNotes] => [DirectoryType] => Degree [DirectoryYear] => 1963 ) [3] => stdClass Object ( [DirectoryDescription] => [DirectoryHeader] => Yang, R. S. H. 2018. Toxicology and Risk Assessment of Chemical Mixtures and Multiple Stressors, in Comprehensive Toxicology. 3rd Edition, Vol. 1. General Principles, Ed. D. L. Eaton, Elsevier Ltd., Oxford, England, pp. 489-518. [DirectoryNotes] => [DirectoryType] => Publication [DirectoryYear] => ) [4] => stdClass Object ( [DirectoryDescription] => [DirectoryHeader] => Lin, Z., Jaberi-Douraki, M., He, C., Yang, R. S. H., Fisher, J. W., Riviere, J. E. 2017. Performance Assessment and Translation of Physiologically Based Pharmacokinetic Models from acslX™ to Berkeley Madonna™, MATLAB®, and R language: Oxytetracycline and Gold Nanoparticles as Case Examples. Toxicol. Sci. 158:23-35. DOI: https://doi.org/10.1093/toxsci/kfx070. [DirectoryNotes] => [DirectoryType] => Publication [DirectoryYear] => ) [5] => stdClass Object ( [DirectoryDescription] => [DirectoryHeader] => Yang, R. S. H., Weijs, L., McDougall, R., and Housand, C. 2015. The Application of PBPK Modeling, Bayesian Approach, and the Utilization of Markov Chain Monte Carlo Simulation in Risk Assessment, in Toxicology and Risk Assessment, Eds. Anna M. Fan, Elaine M. Khan, and George V. Alexeeff, Pan Stanford Publishing Pte. Ltd., pp. 264-299. [DirectoryNotes] => [DirectoryType] => Publication [DirectoryYear] => ) [6] => stdClass Object ( [DirectoryDescription] => [DirectoryHeader] => Lehmann, G. M., Luukinen, B., Henning, C., Verner, M-A., Assimon, S. A., LaKind, J. S., McLanahan, E. D., Phillips, L. J., Davis, M. H., Powers, C. M., Hines, E. P., Haddad, S., Longnecker, M. P., Poulsen, M. T., Farrer, D. G., Marchitti, S. A., Tan, Y-M., Sagiv, S. K., Welsh, C., Swartout, J. C., Campbell, Jr., J. L., Foster, W. G., Francis, B. M., Yang, R. S. H., Barnett, J. B., El-Masri, H. A., Fenton, S. E., Simmons, J. E., Tornero-Velez, R. 2014. Improving the risk assessment of lipophilic persistent environmental chemicals in breast milk. Crit. Rev. Toxicol. 44:600-617. [DirectoryNotes] => [DirectoryType] => Publication [DirectoryYear] => ) [7] => stdClass Object ( [DirectoryDescription] => [DirectoryHeader] => Weijs, L., Yang, R. S. H., Das, K., Covaci, A., and Blust, R. 2013. Application of Bayesian population PBPK modeling and Markov Chain Monte Carlo simulation to pesticide kinetics studies in protected marine mammals: DDT, DDE, DDD in harbour porpoises. Environ. Sci. Technol. 47:4365-4374. [DirectoryNotes] => [DirectoryType] => Publication [DirectoryYear] => ) [8] => stdClass Object ( [DirectoryDescription] => http://csu-cvmbs.colostate.edu/Documents/erhs-raymond-yang-cv.pdf [DirectoryHeader] => Raymond Yang CV [DirectoryNotes] => [DirectoryType] => Link [DirectoryYear] => ) [9] => stdClass Object ( [DirectoryDescription] => http://csu-cvmbs.colostate.edu/Documents/erhs-yang-pbpk-workshop-outline.pdf [DirectoryHeader] => PBPK Modeling Workshop for Beginners-2019 [DirectoryNotes] => [DirectoryType] => Link [DirectoryYear] => ) ) ) ) Array ( [0] => GetMembersBySearchNameResponse GetMembersBySearchName(GetMembersBySearchName $parameters) [1] => GetMembersBySearchNameAndGroupKeyResponse GetMembersBySearchNameAndGroupKey(GetMembersBySearchNameAndGroupKey $parameters) [2] => GetMembersByMemberNameResponse GetMembersByMemberName(GetMembersByMemberName $parameters) [3] => GetGroupsByMemberIdResponse GetGroupsByMemberId(GetGroupsByMemberId $parameters) [4] => GetMemberByIdResponse GetMemberById(GetMemberById $parameters) [5] => GetGroupByIdResponse GetGroupById(GetGroupById $parameters) [6] => GetGroupByGroupKeyResponse GetGroupByGroupKey(GetGroupByGroupKey $parameters) [7] => GetMemberPhotoByMemberIdResponse GetMemberPhotoByMemberId(GetMemberPhotoByMemberId $parameters) [8] => GetMemberContactsByMemberIdResponse GetMemberContactsByMemberId(GetMemberContactsByMemberId $parameters) [9] => GetDirectoryProfileByMemberIdResponse GetDirectoryProfileByMemberId(GetDirectoryProfileByMemberId $parameters) [10] => GetDirectoryInfoByMemberIdResponse GetDirectoryInfoByMemberId(GetDirectoryInfoByMemberId $parameters) [11] => GetMembersByGroupIdResponse GetMembersByGroupId(GetMembersByGroupId $parameters) [12] => GetMembersByGroupKeyResponse GetMembersByGroupKey(GetMembersByGroupKey $parameters) [13] => GetCVByMemberIdResponse GetCVByMemberId(GetCVByMemberId $parameters) [14] => GetMembersByEmployeeCategoryResponse GetMembersByEmployeeCategory(GetMembersByEmployeeCategory $parameters) [15] => GetMembersByEmployeeCategoriesResponse GetMembersByEmployeeCategories(GetMembersByEmployeeCategories $parameters) [16] => GetMembersByEmployeeCategoryAndGroupKeyResponse GetMembersByEmployeeCategoryAndGroupKey(GetMembersByEmployeeCategoryAndGroupKey $parameters) )
stdClass Object ( [GetMemberContactsByMemberIdResult] => stdClass Object ( [MemberContactResponse] => stdClass Object ( [ContactTypeDescription] => Office [Id] => 3715 [IsPrimary] => [PhoneNumber] => 970-491-5652 ) ) )