Albert Powers, MD, PhD
Associate Professor of PsychiatryCards
Appointments
Additional Titles
Medical & Associate Director, Yale PRIME Psychosis Risk Clinic, Psychiatry
Contact Info
Appointments
Additional Titles
Medical & Associate Director, Yale PRIME Psychosis Risk Clinic, Psychiatry
Contact Info
Appointments
Additional Titles
Medical & Associate Director, Yale PRIME Psychosis Risk Clinic, Psychiatry
Contact Info
About
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Titles
Associate Professor of Psychiatry
Medical & Associate Director, Yale PRIME Psychosis Risk Clinic, Psychiatry
Biography
Dr. Powers is an Associate Professor at the Yale University Department of Psychiatry and Medical Director and Associate Director of the PRIME Psychosis Risk Clinic at Yale. In addition to treating individuals who suffer from the symptoms of early psychosis, he uses computational approaches to understand how sensory systems might go awry to produce hallucinations and other symptoms of psychosis.
Appointments
Psychiatry
Associate Professor on TermPrimaryDepartment of Psychology
Associate Professor on TermSecondary
Other Departments & Organizations
- All Institutions
- Center for Brain & Mind Health
- Department of Psychology
- Interdepartmental Neuroscience Program
- Janeway Society
- MR Core
- Neural Disorders
- Neuroscience Research Training Program (NRTP)
- Neuroscience Track
- Powers Lab
- PRIME Psychosis Prodrome Research Clinic
- Psychiatry
- Wu Tsai Institute
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
Education & Training
- Resident
- Yale School of Medicine (2016)
- Chief Resident, Neuroscience Research Training Program
- Yale School of Medicine (2016)
- PhD
- Vanderbilt University School of Medicine (2012)
- MD
- Vanderbilt University School of Medicine (2012)
- BA
- Yale University (2004)
Research
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Overview
Medical Research Interests
ORCID
0000-0003-3057-5043- View Lab Website
Powers Lab
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Scott Woods, MD
Philip Corlett, PhD
Godfrey Pearlson, MA, MBBS
Ely Sibarium
Emily Farina, PhD
Tyrone Cannon
Psychotic Disorders
Hallucinations
Schizophrenia
Risk Assessment
Computational Biology
Publications
2026
Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale
Cheng A, Konova A, Powers A, Corlett P, Levy I, Gu X, Huys Q, Pushkarskya H, Fineberg S, Hauser T, Bzdok D, Harpaz-Rotem I, Babuscio T, Nichols L, Zhao Y, Sharma M, Meeker D, Xu H, Rutledge R, Pearlson G, Pittenger C, Yip S. Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2026 PMID: 41763489, DOI: 10.1016/j.bpsc.2026.02.009.Peer-Reviewed Original ResearchConceptsComputational psychiatryLongitudinal trajectoriesLongitudinal dataParsing heterogeneityDiagnostic boundariesBehavioral tasksPsychiatric disordersPsychiatric diagnosticsDimensional approachLongitudinal courseSymptom trajectoriesCognitive processesDiagnostic categoriesPsychiatryIndividual changesUnderlying mechanismsClinical research methodsClinical researchHiTOPRDoCIndividualsClinical realityDisordersSymptomsTaskComputational phenotypes underlying effort-based decision-making and negative symptoms in a transdiagnostic severe mental illness sample
Luther L, Cooper J, Treadway M, Knippenberg A, Walker E, Gold J, Waltz J, Schiffman J, Ellman L, Mittal V, Zinbarg R, Silverstein S, Corlett P, Powers A, Woods S, Allen D, Lahti A, Strauss G. Computational phenotypes underlying effort-based decision-making and negative symptoms in a transdiagnostic severe mental illness sample. Molecular Psychiatry 2026, 1-11. PMID: 41691110, DOI: 10.1038/s41380-026-03474-x.Peer-Reviewed Original ResearchAltmetricConceptsEffort-based decision-makingNegative symptomsReward magnitudeDepressive disorderNegative symptom measuresClinical high riskFirst-episode psychosisMentally ill sampleMultiple psychiatric diagnosesReward taskSymptom measuresBipolar disorderNeuropsychological testsEffort expenditurePsychiatric diagnosisIll sampleDiagnostic groupsSubjective valueHealthy control groupCognitive impairmentHC groupBias modelRewardDisordersPsychosisCompensatory hallucinogenesis across three neuropsychiatric disorders: a Bayesian account
Vin R, Galbraith J, Seabury R, Yi H, Hernández-Busot G, Oland L, Epie B, Trainer A, Fredericks C, Powers A. Compensatory hallucinogenesis across three neuropsychiatric disorders: a Bayesian account. Brain Communications 2026, 8: fcag001. PMID: 41608158, PMCID: PMC12835829, DOI: 10.1093/braincomms/fcag001.Peer-Reviewed Original ResearchAltmetricConceptsNeuropsychiatric disordersVisual hallucinationsCircuit-based interventionsVisual processing hierarchySensory disruptionNeuropsychiatric illnessNeuropsychiatric diseasesHallucinationsProcessing hierarchyBayesian accountProcess disruptionsDisordersHallucinogenesisSensory informationConceptual umbrellaNeural architectureCharles Bonnet syndromeSensory circuits
2025
Reduced interpersonal head synchrony in youth at clinical high risk for psychosis
Lozano-Goupil J, Pokorny V, Schiffman J, Silverstein S, Gold J, Waltz J, Ellman L, Strauss G, Walker E, Powers A, Corlett P, Woods S, Mittal V. Reduced interpersonal head synchrony in youth at clinical high risk for psychosis. Psychological Medicine 2025, 55: e387. PMID: 41457934, DOI: 10.1017/s0033291725102754.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsClinical high riskClinical high-risk participantsHealthy controlsHigh riskClinical high-risk groupStrength of synchronyClinical high-risk individualsTemporal alignmentPsychosis-risk statesGroup differencesClinical symptomsAt-risk populationsNo significant group differencesNegative symptomsPositive symptomsImpaired social functioningVideo analysis toolPotential biomarkersSignificant group differencesSocial anhedoniaSymptomsShort video recordingsClinical InterviewNonverbal synchronySocial functioningNeural mechanisms of visuoperceptual disturbances in Dementia with Lewy Bodies
Vin R, Yi H, Moret S, Lawrence M, Santini V, Cedarbaum J, Powers A, Fredericks C. Neural mechanisms of visuoperceptual disturbances in Dementia with Lewy Bodies. Alzheimer's & Dementia 2025, 21: e096478. PMCID: PMC12729456, DOI: 10.1002/alz70856_096478.Peer-Reviewed Original ResearchConceptsAbnormal perceptual experiencesREM sleep behavior disorderNeural mechanismsIllusory responsesPerceptual abnormalitiesPerceptual experienceLeft lateral occipital cortexParkinson's diseaseLateral occipital cortexSensory Experiences QuestionnaireFunctional MRI dataVivid visual hallucinationsElevated scoresVisuospatial tasksNoise pareidolia testSleep behavior disorderBehavioral disordersOccipital cortexVisual hallucinationsExperience QuestionnaireMovie viewingPareidolia testBlack-and-white patternsIllusory perceptionVisuoperceptual disturbancesSpontaneous head movements during virtual clinical interviews help predict 12-months clinical outcomes in youth at clinical high risk for psychosis
Lozano-Goupil J, Parmacek S, Gold J, Corlett P, Strauss G, Schiffman J, Ellman L, Walker E, Powers A, Woods S, Waltz J, Silverstein S, Mittal V. Spontaneous head movements during virtual clinical interviews help predict 12-months clinical outcomes in youth at clinical high risk for psychosis. Schizophrenia 2025, 11: 137. PMID: 41258211, PMCID: PMC12630965, DOI: 10.1038/s41537-025-00683-1.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical high riskClinical InterviewSymptom severityMarker of symptom severityDisorganized symptomsPsychosis vulnerabilitySocial anhedoniaNegative symptomsPositive symptomsBaseline symptomatologyGlobal functioningSpontaneous head movementsMotor behaviorSocial functioningMotor abnormalitiesSocial interactionAvolitionLongitudinal studyPrognostic valuePsychosisEarly interventionHead movementsHigh riskSymptomsSymptom monitoringCollecting language, speech acoustics, and facial expression to predict psychosis and other clinical outcomes: strategies from the AMP® SCZ initiative
Bilgrami Z, Castro E, Agurto C, Liebenthal E, Ennis M, Baker J, Scott I, Colton B, Cho K, Li L, Tamayo Z, Henecks M, Rahimi Eichi H, Henry T, Addington J, Alameda L, Arango C, Breitborde N, Broome M, Cadenhead K, Calkins M, Chen E, Choi J, Conus P, Cornblatt B, Ellman L, Fusar-Poli P, Gaspar P, Gerber C, Glenthøj L, Horton L, Hui C, Kambeitz J, Kambeitz-Ilankovic L, Keshavan M, Kim S, Koutsouleris N, Kwon J, Langbein K, Mamah D, Diaz-Caneja C, Mathalon D, Mittal V, Nordentoft M, Pearlson G, Perez J, Perkins D, Powers A, Rogers J, Sabb F, Schiffman J, Shah J, Silverstein S, Smesny S, Stone W, Yassin W, Strauss G, Thompson J, Upthegrove R, Verma S, Wang J, Wolf D, McGorry P, Kahn R, Kane J, Anticevic A, Bearden C, Dwyer D, Billah T, Bouix S, Pasternak O, Shenton M, Woods S, Nelson B, Cecchi G, Corcoran C, Wolff P. Collecting language, speech acoustics, and facial expression to predict psychosis and other clinical outcomes: strategies from the AMP® SCZ initiative. Schizophrenia 2025, 11: 125. PMID: 41093845, PMCID: PMC12528486, DOI: 10.1038/s41537-025-00669-z.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical high riskSample taskEarly psychosisClinical high-risk participantsFacial expressionsCommunity controlsSpeech-based detectionDetection of psychosisPsychosis riskReferential languagePsychosisSyntactic embeddingElicitation conditionsNatural language processing parserEveryday speechSpeech acousticsInterviewer trainingMachine-learning classifiersSpeechLanguage modelElevated useComputational linguisticsTaskData integrationLanguageShift in sex and age of individuals at a clinical high risk (CHR) for psychosis: relation to differences in recruitment methods and effect on sample characteristics
Farina E, Mourgues-Codern C, Stimler K, Kenney J, Saxena A, Mukhtar H, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Ellman L, Gold J, Keshavan M, Mathalon D, Mittal V, Perkins D, Schiffman J, Silverstein S, Strauss G, Stone W, Walker E, Waltz J, Corlett P, Powers A, Woods S. Shift in sex and age of individuals at a clinical high risk (CHR) for psychosis: relation to differences in recruitment methods and effect on sample characteristics. Schizophrenia 2025, 11: 123. PMID: 41053030, PMCID: PMC12501016, DOI: 10.1038/s41537-025-00663-5.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical high riskClinical high-risk samplesNorth American Prodrome Longitudinal StudyOvert psychotic disordersSample characteristicsSample of individualsNegative symptomsPsychotic disordersPsychosis riskSelf-referralRecruitment sourcesBetween-study differencesComputerized assessmentHierarchical regressionPsychosisRecruitment source effectsClinical implicationsLongitudinal studyGeneral symptomsDemographic differencesClinical profileSymptomsParticipantsClinical heterogeneitySexIdentifying individuals at clinical high risk for psychosis using a battery of tasks sensitive to symptom mechanisms
Williams T, Gold J, Waltz J, Schiffman J, Ellman L, Strauss G, Walker E, Woods S, Powers A, Kenney J, Pappu M, Corlett P, Tran T, Silverstein S, Zinbarg R, Mittal V. Identifying individuals at clinical high risk for psychosis using a battery of tasks sensitive to symptom mechanisms. Translational Psychiatry 2025, 15: 311. PMID: 40849429, PMCID: PMC12375010, DOI: 10.1038/s41398-025-03539-5.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsCHR-P individualsClinical high riskCHR-PClinical InterviewComputerized assessmentAssessment of psychosis riskStructured Clinical InterviewRisk calculator scoresNeurocognitive mechanismsPsychosis symptomsPsychosis riskBehavioral tasksUnique predictorsMental disordersTask batteryPsychosisTask variablesComparison groupHealthy controlsRisk severityUpdate beliefsTaskMultinomial logistic regressionConsortium studyIndividualsPrediction of antipsychotic medication inception in antipsychotic-naive youth at clinical high risk for psychosis
Mukhtar H, Zhou D, Farina E, Saxena A, Cahill J, Addington J, Bearden C, Cadenhead K, Cannon T, Cornblatt B, Keshwan M, Mathalon D, Perkins D, Stone W, Cho Y, Powers A, Walker E, Woods S. Prediction of antipsychotic medication inception in antipsychotic-naive youth at clinical high risk for psychosis. Psychological Medicine 2025, 55: e241. PMID: 40842369, PMCID: PMC12404330, DOI: 10.1017/s0033291725101372.Peer-Reviewed Original ResearchCitationsAltmetricConceptsClinical high riskCHR-PLifetime historyAugmentation of antidepressant treatmentComorbid major depressionAP useAntidepressant treatmentPositive symptomsMajor depressionAP medicationNAPLS-2Independent predictorsCHR-P.High riskBaseline clinical variablesPsychosisBaseline predictorsClinical variablesParticipantsBaseline characteristicsUnivariate analysisLogistic regression modelsObservational cohortMultivariate analysisAP initiation
Clinical Trials
Current Trials
Song-making In a Group (SING)
IRB ID2000026376RoleSub InvestigatorPrimary Completion Date08/31/2024Recruiting ParticipantsSchizophrenia Spectrum Biomarkers Consortium (SSBC)
IRB ID2000029485RoleSub InvestigatorPrimary Completion Date12/31/2030Recruiting ParticipantsTesting a Computationally-Informed, Personalized Intervention for Hallucinations
IRB ID2000024774RolePrincipal InvestigatorPrimary Completion Date03/31/2024Recruiting ParticipantsGenderBothAge18 years - 65 yearsAMPA Receptor Components of the Anti-Depressant Ketamine Response
IRB ID2000021345RoleSub InvestigatorPrimary Completion Date06/30/2032Recruiting ParticipantsGenderBothAge18 years - 65 years
Academic Achievements & Community Involvement
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Activities
activity American College of Neuropsychopharmacology (ACNP)
2022 - PresentProfessional OrganizationsAssociateDetailsAssociate Memberactivity Schizophrenia Research
11/01/2020 - 01/01/2022Journal ServiceGuest EditorDetailsGuest Editor, Special Issue on Computational Approaches to Understanding Psychosis
Honors
honor Young Physician-Scientist Award
01/26/2022National AwardAmerican Society for Clinical InvestigationDetailsUnited Stateshonor Carol and Eugene Ludwig Award for Early Career Research
12/08/2021National AwardLudwig Family FoundationDetailsUnited Stateshonor Second Prize, Yale Digital Pitchfest
12/01/2021Yale University AwardYale Office for Cooperative ResearchDetailsUnited Stateshonor Participant
07/18/2018National AwardCareer Development Institute for PsychiatryDetailsUnited Stateshonor New Investigator Award
07/18/2018National AwardAmerican Society of Clinical PsychopharmacologyDetailsUnited States
News
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News
- March 23, 2026
Powers Honored with SIRS Research Excellence Award
- December 08, 2025Source: ScienceLine
Virtual Reality Therapy May Reduce Voice Hallucinations in People with Schizophrenia
- May 27, 2025Source: Undark
When People Hear Voices, But Only When They Want To
- April 08, 2025
Understanding the Transition From Early to Chronic Psychosis
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