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Mei-Hua Hall, Ph.D.

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Overview
I have a broad background in clinical psychology, epidemiology, statistical modeling, in addition to specific training and expertise in electrophysiology, psychiatric genetics and cognitive neuroscience. I continue to weave these interests together in my work with patients with psychotic disorders. I have conducted several neurobiological and genetics projects and have published papers spanning from characterizing event related potentials (ERP) deficits as potential endophenotypic markers (biomarkers) across psychotic spectrum disorders; identifying distinct subgroups of psychotic patients on the basis of neurobiological signatures that transcend diagnostic classification; to examining genetic and environmental risk factors for psychiatric disorders. My long-term interests are to gain a deep insight of the interplay between neurobiological mechanisms underlying psychotic disorders and environmental risks contributing to the development of illnesses and to utilize this knowledge for developing implementable and effective precision medicine tools or strategies in clinical services.
I am the PI of a NIMH funded longitudinal study (R01) that involves leveraging multivariate biomarkers (e.g., EEG, MRI, cognition, clinical phenotypes), each of which has been well studied in the psychosis literature, to stratify first episode psychosis patients into homogeneous subgroups based on patients’ unique neuro-biological profiles and relate these profiles to their functional outcome trajectories. The goal is to identify and predict patients who are not likely to achieve functional recovery and are at risk of relapse (readmission). To achieve this goal, my team and collaborators are developing computational tools using natural language processing (NLP) and machine learning algorithms to integrate both structured biomarker and unstructured clinical electronic health records (EHRs) data in the data analysis pipeline in order to augment knowledge discovery and to develop robust risk prediction models.

Mentoring
Available: 04/05/22, Expires: 06/01/23

My research focuses on applying multimodal approaches to link patients' neurobiological and clinical profiles with their functional recovery trajectories. One project aims to understand the neurobiological mechanisms underlying schizophrenia and bipolar disorders. Another project uses multimodal approaches to stratify patients who experience their first episode psychosis into homogeneous subgroups based on patients' unique neurobiological profiles and to relate these profiles to later functional recovery outcomes. A third project focuses on using natural language processing (NLP) and machine learning techniques aiming to create tools for evaluating and predicting psychosis patient readmission risk. The overarching goals of my research are to identify individuals with different functional recovery paths and to develop individually tailored and effective treatments.


Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. R01MH126977 (MILLER, TIMOTHY A) Aug 1, 2022 - May 31, 2027
    NIH
    Modeling Temporality with Natural Language Processing to Predict Readmission Risk of Patients with Psychosis
    Role: Co-Principal Investigator
  2. R21MH125076 (HALL, MEI-HUA ;PUSTEJOVSKY, JAMES) Jul 1, 2021 - Jun 30, 2024
    NIH
    Identification of Trauma-related Features in EHR Data for Patients with Psychosis and Mood Disorders
    Role: Principal Investigator
  3. R03MH108850 (HALL, MEI-HUA) Aug 19, 2016 - Jun 30, 2019
    NIH
    Genetic Basis of Reward Learning and Symptom, Smoking, and Neural Signature Correlates
    Role: Principal Investigator
  4. R01MH109687 (HALL, MEI-HUA) Mar 17, 2016 - Jan 31, 2022
    NIH
    Neurobiological Markers as Predictors of Later Functional Outcome in First Episode Psychosis
    Role: Principal Investigator
  5. K01MH086714 (HALL, MEI-HUA) Jun 1, 2010 - May 31, 2015
    NIH
    Functional Characterization of Risk Variants for Psychotic Illness in the GWAS Er
    Role: Principal Investigator

Bibliographic
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.