Mihaela Aslan, PhD
Research Scientist (General Medicine)Cards
Additional Titles
Director, Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veterans Health Administration
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Titles
Research Scientist (General Medicine)
Positions outside Yale
Director, Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veterans Health Administration
Biography
Mihaela Aslan, Ph.D., is a graduate from the Department of Statistics at Yale University. As a mathematical statistician, she conducts methodological research on a range of topics, such as growth mixture models, competing risks methods in survival analysis, and observational methods to emulate randomized clinical trials. Multi-site observational study design represents another major methodological focus of Dr. Aslan's research. Some of her representative studies have focused on clinical topics such as prostate cancer, PTSD, suicidal ideation and behavior in patients with severe mental illness, Gulf War syndrome, and prediabetes. In her 23-year tenure with the Yale University School of Medicine and the VA Cooperative Studies Program (CSP), and in her current role as the Director of Clinical Epidemiology Research Center (CERC), her goals are centered around advancing scientific knowledge, and helping train the next generation of analysts on applied clinical epidemiology methods, for improving translation and implementation of research results into clinical practice, and to benefit the health and healthcare of Veterans, and by extension, of all human beings.
Appointments
General Internal Medicine
Research ScientistPrimary
Other Departments & Organizations
- All Institutions
- General Internal Medicine
- Internal Medicine
Education & Training
- PhD
- Yale University (2002)
- MS
- Yale University, Statistics
- MS
- University of Bucharest, Probability and Statistics
- BS
- University of Bucharest, Mathematics (1994)
Research
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Research at a Glance
Yale Co-Authors
Publications Timeline
Nallakkandi Rajeevan, PhD
John Concato, MD, FACP, MS, MPH
Lei Yan, PhD
Hongyu Zhao, PhD
Renato Polimanti, PhD, MSc
Yuan Huang, PhD
Publications
2026
Biological insights into schizophrenia from ancestrally diverse populations
Bigdeli T, Chatzinakos C, Bendl J, Barr P, Venkatesh S, Gorman B, Clarence T, Genovese G, Iyegbe C, Peterson R, Kolokotronis S, Burstein D, Meyers J, Li Y, Natarajan S, Francis M, Rajeevan N, Cheung K, DeLisi L, Kosten T, Zhao H, Achtyes E, Buckley P, Malaspina D, Lehrer D, Rapaport M, Braff D, Pato M, Fanous A, Pato C, Huang G, Muralidhar S, Gaziano J, Pyarajan S, Girdhar K, Lee D, Hoffman G, Aslan M, Fullard J, Voloudakis G, Harvey P, Roussos P. Biological insights into schizophrenia from ancestrally diverse populations. Nature 2026, 651: 404-413. PMID: 41565822, DOI: 10.1038/s41586-025-10000-6.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPopulations of African ancestryBiological insightsStatistical fine-mappingAfrican ancestryGenetically diverse populationsAfrican populationsIntegrative transcriptomic analysisElectronic health recordsDiverse populationsFine-mappingGenetic architectureGenomic dataPolygenic basisSchizophrenia geneticsTranscriptome analysisConsensus genesRate of diagnosisHealth disparitiesHealth recordsComprehensive assessmentBlack individualsRecruitment biasDisease biologyGenesAncestryCombining Digital Cognitive-Behavior Therapy with Mindfulness Training for Binge Eating Disorder: A Feasibility Trial Protocol (Preprint)
Sala M, Roos C, Ascarrunz D, Stern C, Bricker J, Feldman J, Levinson C, Aslan M, Hay J, Kober H. Combining Digital Cognitive-Behavior Therapy with Mindfulness Training for Binge Eating Disorder: A Feasibility Trial Protocol (Preprint). JMIR Research Protocols 2026 DOI: 10.2196/91761.Peer-Reviewed Original ResearchP-225. Polypharmacy, Drug-Drug Interactions, and Risk of Hospitalization among Veterans with HIV Taking 2-, 3-, and 4-Drug Antiretroviral Therapy Regimens
Yan L, Henegar C, Cheung K, Marconi V, Rodriguez-Barradas M, Ragone L, Jones B, Vannappagari V, Justice A, Aslan M. P-225. Polypharmacy, Drug-Drug Interactions, and Risk of Hospitalization among Veterans with HIV Taking 2-, 3-, and 4-Drug Antiretroviral Therapy Regimens. Open Forum Infectious Diseases 2026, 13: ofaf695.447. PMCID: PMC12792153, DOI: 10.1093/ofid/ofaf695.447.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyRisk of hospitalizationMedication countDrug-drug interactionsAssociated with riskViiV HealthcareAssociated with risk of hospitalizationHigher VACS indexRisk of drug-drug interactionsAging Cohort StudyAntiretroviral therapy regimensNested Cox modelsPairs of medicationsPairwise drug interactionsAntiretroviral regimenARV regimenARV regimensVACS IndexTherapy regimensHealthcareCohort studyDrug interactionsAntiretroviralsPWHCox modelDurability of Respiratory Syncytial Virus Vaccine Effectiveness Among US Veterans
Bajema K, Bui D, Yan L, Li Y, Rajeevan N, Vergun R, Sriskantharajah V, Hynes D, Berry K, Huang Y, Lin H, Aslan M, Ioannou G. Durability of Respiratory Syncytial Virus Vaccine Effectiveness Among US Veterans. JAMA Internal Medicine 2026, 186: 78-88. PMID: 41284307, PMCID: PMC12645397, DOI: 10.1001/jamainternmed.2025.6355.Peer-Reviewed Original ResearchCitationsAltmetricConceptsRespiratory syncytial virus vaccineRespiratory syncytial virusIntensive care unit admissionRSV vaccineVaccine effectivenessUnit admissionRespiratory syncytial virus illnessSevere respiratory syncytial virusVaccine doseRespiratory syncytial virus infectionMonths of follow-upLong-term effectsHealth care useRespiratory illness seasonVeterans Health AdministrationMatched index dateUrgent care visitsTarget trial emulationMedian ageCare useCare visitsSingle doseSyncytial virusIndex dateVaccine recipients
2025
Effectiveness of the 2024–2025 KP.2 COVID-19 vaccines in the United States during long-term follow-up
Ioannou G, Berry K, Yan L, Huang Y, Lin H, Bui D, Hynes D, Boyko E, Ferguson J, Aslan M, Bajema K. Effectiveness of the 2024–2025 KP.2 COVID-19 vaccines in the United States during long-term follow-up. Nature Communications 2025, 17: 1043. PMID: 41444246, PMCID: PMC12847879, DOI: 10.1038/s41467-025-67796-0.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsVaccine effectivenessED/UC visitsUp-to-date estimatesFollow-upCOVID-19 vaccineLong-term follow-upLong-term vaccine effectivenessSARS-CoV-2 infectionVeterans Health AdministrationEmergency department/urgent careSARS-CoV-2-associated deathsVaccination strategiesStudy populationCOVID-19 vaccine effectivenessHealth AdministrationInfectionOmicron variantCOVID-19 vaccination strategiesHospitalVaccineCOVID-19DeathEstimates of COVID-19 vaccine effectivenessVisitsImpact of time zero designation on estimated COVID-19 antiviral effectiveness in observational studies
Bajema K, Yan L, Berry K, Bui D, Lin H, Huang Y, Li Y, Rajeevan N, Maciejewski M, Smith V, Bohnert A, Hynes D, Aslan M, Ioannou G. Impact of time zero designation on estimated COVID-19 antiviral effectiveness in observational studies. American Journal Of Epidemiology 2025, 195: 562-568. PMID: 41078178, DOI: 10.1093/aje/kwaf221.Peer-Reviewed Original ResearchAltmetricDefining and assessing international classification of disease suicidality phenotypes for genetic studies
Monson E, Colbert S, Barr P, Bejan C, Andreassen O, Ayinde O, Ceja Z, Coon H, DiBlasi E, Izotova A, Kaufman E, Koromina M, Myung W, Nurnberger J, Serretti A, Smoller J, Stein M, Zai C, Aslan M, Bigdeli T, Harvey P, Kimbrel N, Patel P, Ruderfer D, Docherty A, Mullins N, Mann J. Defining and assessing international classification of disease suicidality phenotypes for genetic studies. Psychiatry Research 2025, 353: 116760. PMID: 41061596, PMCID: PMC12872330, DOI: 10.1016/j.psychres.2025.116760.Peer-Reviewed Original ResearchCitationsAltmetricConceptsInternational Classification of DiseasesPsychiatric Genomics ConsortiumInternational Classification of Diseases codesInternational ClassificationSuicidal ideationSample size requirementsClassification of diseasesPositive predictive valueClinician trainingAscertainment strategiesComparability of data setsPatient reportsICD codesGenetic studiesPhenotype definitionExpert consensusGenomics ConsortiumMultiple independent cohortsCohort characteristicsSuicidal phenotypeGenetic researchCode listsSex stratificationC-SSRSPatient responseBudget Impact of Adopting Nirmatrelvir-Ritonavir for Treating COVID-19 in a Large Integrated Healthcare System
Bui D, Hynes D, Wong E, Vergun R, Yan L, Li Y, Rajeevan N, Berry K, Lin H, Huang Y, Govier D, Aslan M, Ioannou G, Bajema K. Budget Impact of Adopting Nirmatrelvir-Ritonavir for Treating COVID-19 in a Large Integrated Healthcare System. Open Forum Infectious Diseases 2025, 12: ofaf596. PMID: 41089767, PMCID: PMC12517272, DOI: 10.1093/ofid/ofaf596.Peer-Reviewed Original ResearchAltmetricConceptsVeterans Health AdministrationHealthcare systemEmergency departmentBudget impactRisk quartileIntegrated healthcare systemHealthcare utilization costsHealthcare cost savingsHighest risk quartileTarget trial emulationHealth AdministrationHealthcare costsTrial emulationHealthcareCOVID-19VeteransHospitalTargeted treatmentQuartileClinical subgroupsUtilization costsTreatment benefitTargeted treatment of patientsCost savingsTreatment of patientsUnderstanding the Comorbidities Among Psychiatric Disorders, Chronic Low Back Pain, and Spinal Degenerative Disease Using Observational and Genetically Informed Analyses
Qiu D, Friligkou E, He J, Cabrera-Mendoza B, Aslan M, Gupta M, Polimanti R. Understanding the Comorbidities Among Psychiatric Disorders, Chronic Low Back Pain, and Spinal Degenerative Disease Using Observational and Genetically Informed Analyses. Biological Psychiatry Global Open Science 2025, 5: 100588. PMID: 41036474, PMCID: PMC12483661, DOI: 10.1016/j.bpsgos.2025.100588.Peer-Reviewed Original ResearchCitationsConceptsChronic low back painSpinal degenerative diseaseLow back painPolygenic risk scoresMendelian randomizationBack painOne-sample Mendelian randomizationOne-sample MRRisk scoreUs Research ProgramPsychiatric disordersMultinominal regression modelGenetically informed analysesHealth outcomesMental illnessAlcohol use disorderPosttraumatic stress disorderDegenerative diseasesSociocultural factorsControl participantsRegression modelsUse disorderAssociated with differencesComorbidity patternsStress disorderCombining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation.
Mutalik P, Cheung K, Green J, Buelt-Gebhardt M, Anderson K, Jeanpaul V, McDonald L, Wininger M, Li Y, Rajeevan N, Jessel P, Moore H, Adabag S, Raitt M, Aslan M. Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation. AMIA Annual Symposium Proceedings 2025, 2024: 847-856. PMID: 40417550, PMCID: PMC12099393.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsCorporate Data WarehouseNon-expertsClinical AI applicationsData warehouseAI applicationsVirtual emulationEHR dataClinical decision criteriaExtract informationCurated datasetComputational algorithmDecision criteriaTraining toolEmulationClinical notesStructural dataCase studyAlgorithmEHRDatasetWarehouseComputerInclusion/exclusion decisions
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950 Campbell Avenue
West Haven, CT 06516