Missouri Prevention Science Institute

Dr. Hye­jin Shim com­plet­ed her Ph.D. in the Sta­tis­tics, Mea­sure­ment, and Eval­u­a­tion in Edu­ca­tion (SMEE) pro­gram at the Uni­ver­si­ty of Mis­souri (MU), where she received in-depth train­ing in quan­ti­ta­tive meth­ods with a spe­cial­iza­tion in psy­cho­met­rics. Fol­low­ing her doc­tor­al stud­ies, Hye­jin served as a post­doc­tor­al research asso­ciate at the Lau­re­ate Insti­tute for Brain Research (LIBR), where she expand­ed her research scope to encom­pass men­tal health, neu­ro­science, and the use of AI in auto­mat­ic assess­ment gen­er­a­tion. Cur­rent­ly, Hye­jin is a post­doc­tor­al research fel­low at the Mis­souri Pre­ven­tion Sci­ence Insti­tute (MPSI) at MU. Hyejin’s research focus­es on advanc­ing latent vari­able mod­els to ana­lyze com­plex data pat­terns, apply­ing psy­cho­me­t­ric method­olo­gies to bet­ter under­stand bio­log­i­cal and men­tal health process­es, and enhanc­ing the pre­ci­sion of health assess­ments. Her work includes three pri­ma­ry, inter­con­nect­ed projects: (1) improv­ing psy­cho­me­t­ric mea­sure­ment meth­ods for spe­cial­ized pop­u­la­tions, (2) lever­ag­ing psy­cho­me­t­ric tools to sup­port neu­rocog­ni­tive research, and (3) devel­op­ing effi­cient meth­ods for con­struct­ing psy­cho­me­t­ri­cal­ly valid test instru­ments. These projects aim to bridge psy­cho­met­rics with men­tal and behav­ioral health, facil­i­tat­ing the devel­op­ment of pre­cise and inno­v­a­tive assess­ment tools to sup­port clin­i­cal and research out­comes. 

Expertise: 

• Psy­cho­met­rics; Mea­sure­ment; Latent Vari­able Modeling 

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