Faculty

Institution

Unit

Venue

Tony Liu

Assistant Professor of Computer Science

Mount Holyoke College

Affiliations

Academic Affairs and Dean of Faculty

McCulloch Center for Global Initiatives

Weissman Center for Leadership

Mount Holyoke College

Africana Studies and Critical Race and Political Economy

Department of Biology/Biological Sciences

Department of Computer Science

Department of Neuroscience

Politics

Weissman Center for Leadership

Department Of Chemistry And Surface Science Research Centre

Sustainability & environmentalism

Weissman Center for Leadership

Tony Liu is currently serving as an Academic Affairs And Dean Of Faculty Assistant Professor of Computer Science at Mount Holyoke College.

Honors

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Experiences

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Education

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Tony Liu

Mount Holyoke College

Assistant Professor of Computer Science

You can click a keyword to filter the displayed items

psychiatry mental health psychology public health depression data science machine learning psychiatric care behavioral health social media psychological trauma psychiatric research suicide interpersonal communication wearable technology mobile computing medical internet research retrospective cohort studies psychometrics mobile sensing prospective cohort studies automated machine learning electronic health records psychological co-morbidities social anxiety longitudinal cohort study unstructured text health psychology clinical psychology psychological assessment affective computing behavioral research biomedical analysis biomedical informatics machine learning research knowledge discovery human-computer interaction crisis management psychological medicine mental health nursing cohort studies social medium data self-report studies participatory sensing causality quasi-experiments behavior analysis behavior therapy interactional linguistics human communication automated analysis chip on board biomedical data analysis lab-on-a-chip text processing document clustering disease classification text normalization human-machine interaction covid-19 pandemic open access reconstructive surgery psychiatric disorders surgical outcomes prediction systematic review smartphone sensor features text message sentiment text-message-based sentiment anxiety symptom prediction differential temporal utility smartphone features non-close contacts web-based automated machine liquid biopsy data phone-based relationship estimation online summer school machine intelligence technology information science intelligent computing intelligent user interfaces technological forecasting neural computation intelligent systems big data evolutionary intelligence artificial society learning sciences business intelligence analytics artificial intelligence intelligent robotic systems data mining distance education neural network (machine learning) intelligent robot automation automated reasoning predictive analytics informatics soft computing bio-inspired computation natural computing knowledge representation and reasoning computational science pattern recognition computing education systems engineering industrial informatics learning analytics memetic computing information technology information retrieval computational intelligence educational technology computer science knowledge-based systems information fusion

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comparing Risk Prediction for Suicide Attempts and Deaths After Emergency Department Visits for Individuals With Mental Health Disorders. The Journal of Clinical Psychiatry (2026)

public healthemergency carerisk predictionbehavioral healthmental health disorderspsychological traumamental healthemergency medicineemergency department visitspsychiatric researchpsychiatrypsychiatric caresuicidepsychological medicinemortality

Framing Helper Therapy to Support User Engagement: Causal Evidence From a Public Deployment of a Mental Health Support Text Messaging Program. (2026)

mental health nursinghealth communicationbehavioral healthcommunity mental healthmental healthmedical internet researchdigital interventionspsychologycommunity psychologycausal evidencepsychiatryhelper therapypsychiatric caremental health interventionscounseling psychologytherapeutic approachespublic deployment

A Cohort Study of Predictors of Short-Term Nonfatal Suicidal and Self-Harm Events Among Individuals With Mental Health Disorders Treated in the Emergency Department. Journal of Psychiatric Research (2025)

public healthself-harm eventsbehavioral healthpsychiatric disorderspsychological traumamental healthmental health disorderspsychopathologydepressionpsychologypsychiatric researchpsychiatryemergency departmentpsychiatric carepsychiatric epidemiologypsychological co-morbiditiessuicide

Comparing Patterns of Recent Mental Health Service Use for Predicting Suicidal Events Following Emergency Department Mental Health Visits in the United States: A National Cohort Study. Social Psychiatry and Psychiatric Epidemiology (2025)

public healthhealth services researchbehavioral healthcommunity mental healthpsychological traumamental healthnational cohort studypsychiatric researchpsychiatrysuicidal eventsunited statespsychiatric carepsychiatric epidemiologypsychological co-morbiditiessuicideemergency nursing

Rate of Biopsy Prior to Resection Among Patients With High-Grade Glioma: A Nationwide Database Analysis. Journal of neurosurgery (2025)

neurosurgeryneurologyoutcomes researchcancer caregliomascancer managementradiation oncologyneuroimagingbrain tumor researchsurgical oncologyoncologynationwide database analysisneuro-oncologybrain lesionhigh-grade glioma

Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study. JMIR Medical Informatics (2024)

Nicholas C CardamoneMark OlfsonTimothy SchmutteLyle UngarTony LiuSara W CullenNathaniel J WilliamsSteven C Marcus

public healthtext processingdocument clusteringbiomedical informaticsmental healthtext mininghealth informaticslanguage modelsnatural language processingelectronic health recordsmachine learning researchknowledge discoverydata sciencedisease classificationtext normalizationcomputer scienceunstructured text

Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models Using a Large Language Model (Preprint). (2024)

unstructured textdocument classificationinformation extractionlarge language modelhealth informaticshealth information sciencepsychiatryelectronic health recordsdata sciencedigital medicinedigital health

Differential Temporal Utility of Passively Sensed Smartphone Features for Depression and Anxiety Symptom Prediction: A Longitudinal Cohort Study. npj Mental Health Research (2024)

Caitlin A. StamatisJonah MeyerhoffYixuan MengZhi Chong Chris LinYoung Min ChoTony LiuChris J. KarrTingting LiuBrenda L. CurtisLyle H. UngarDavid C. Mohr

mobile computingwearable technologyanxiety symptom predictionlongitudinal cohort studydifferential temporal utilityparticipatory sensingdigital healthpsychometricsbehavioral sciencesretrospective cohort studiesmobile sensingmachine learningaffective computingpsychologypsychiatryprospective cohort studiesmental healthsmartphone featuresdepression

Analyzing Text Message Linguistic Features: Do People With Depression Communicate Differently With Their Close and Non-Close Contacts?. Behaviour Research and Therapy (2023)

Jonah MeyerhoffTingting LiuCaitlin A. StamatisTony LiuHarry WangYixuan MengBrenda CurtisChris J. KarrGarrick ShermanLyle H. UngarDavid C. Mohr

behavior analysisinterpersonal communicationcommunicationdiscourse analysishuman behaviordepressionpsychologysocial mediabehavioral researchbehavior therapynon-close contactsinteractional linguisticshuman communicationbehavioral sciences

15. Automated Machine Learning for Risk Prediction of Incisional Hernia in Abdominal Surgery Patients. Plastic & Reconstructive Surgery Global Open (2022)

Ankoor A. TalwarAbhishek A. DesaiPhoebe B. McAuliffeTony LiuVivek JamesIvona PercecRobyn B. BroachLyle UngarJohn P. Fischer

reconstructive surgeryrisk predictionincisional herniamachine learningorthopaedic surgeryautomated machine learning

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Tony Liu

Assistant Professor of Computer Science

Mount Holyoke College

Affiliations

Academic Affairs and Dean of Faculty

McCulloch Center for Global Initiatives

Weissman Center for Leadership

Mount Holyoke College

Africana Studies and Critical Race and Political Economy

Department of Biology/Biological Sciences

Department of Computer Science

Department of Neuroscience

Politics

Weissman Center for Leadership

Department Of Chemistry And Surface Science Research Centre

Sustainability & environmentalism

Weissman Center for Leadership

Tony Liu is currently serving as an Academic Affairs And Dean Of Faculty Assistant Professor of Computer Science at Mount Holyoke College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Tony Liu

Mount Holyoke College

Assistant Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comparing Risk Prediction for Suicide Attempts and Deaths After Emergency Department Visits for Individuals With Mental Health Disorders. The Journal of Clinical Psychiatry (2026)

Framing Helper Therapy to Support User Engagement: Causal Evidence From a Public Deployment of a Mental Health Support Text Messaging Program. (2026)

Rate of Biopsy Prior to Resection Among Patients With High-Grade Glioma: A Nationwide Database Analysis. Journal of neurosurgery (2025)

Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study. JMIR Medical Informatics (2024)

Nicholas C CardamoneMark OlfsonTimothy SchmutteLyle UngarTony LiuSara W CullenNathaniel J WilliamsSteven C Marcus

Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models Using a Large Language Model (Preprint). (2024)

Differential Temporal Utility of Passively Sensed Smartphone Features for Depression and Anxiety Symptom Prediction: A Longitudinal Cohort Study. npj Mental Health Research (2024)

Caitlin A. StamatisJonah MeyerhoffYixuan MengZhi Chong Chris LinYoung Min ChoTony LiuChris J. KarrTingting LiuBrenda L. CurtisLyle H. UngarDavid C. Mohr

Analyzing Text Message Linguistic Features: Do People With Depression Communicate Differently With Their Close and Non-Close Contacts?. Behaviour Research and Therapy (2023)

Jonah MeyerhoffTingting LiuCaitlin A. StamatisTony LiuHarry WangYixuan MengBrenda CurtisChris J. KarrGarrick ShermanLyle H. UngarDavid C. Mohr

15. Automated Machine Learning for Risk Prediction of Incisional Hernia in Abdominal Surgery Patients. Plastic & Reconstructive Surgery Global Open (2022)

Ankoor A. TalwarAbhishek A. DesaiPhoebe B. McAuliffeTony LiuVivek JamesIvona PercecRobyn B. BroachLyle UngarJohn P. Fischer

reconstructive surgeryrisk predictionincisional herniamachine learningorthopaedic surgeryautomated machine learning

1
2
10 / page