Mihaela Aslan, PhD
Research Scientist (General Medicine)DownloadHi-Res Photo
Cards
Additional Titles
Director, Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), Veterans Health Administration
Contact Info
About
Copy Link
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.
Last Updated on June 18, 2025.
Appointments
General Internal Medicine
Research ScientistPrimary
Other Departments & Organizations
Education & Training
- PhD
- Yale University (2002)
- MS
- Yale University, Statistics
- MS
- University of Bucharest, Probability and Statistics
- BS
- University of Bucharest, Mathematics (1994)
Research
Copy Link
Research at a Glance
Yale Co-Authors
Frequent collaborators of Mihaela Aslan's published research.
Publications Timeline
A big-picture view of Mihaela Aslan's research output by year.
Nallakkandi Rajeevan, PhD
John Concato, MD, FACP, MS, MPH
Hongyu Zhao, PhD
Lei Yan, PhD
Renato Polimanti, PhD, MSc
Joel Gelernter, MD
64Publications
1,913Citations
Publications
2025
Understanding 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. DOI: 10.1016/j.bpsgos.2025.100588.Peer-Reviewed Original ResearchConceptsChronic 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 decisionsUnraveling the genetics of gulf war illness in diverse participants enrolled in the million veteran program
Pathak G, Koller D, Cabrera-Mendoza B, Djotsa A, Wendt F, De Lillo A, Friligkou E, He J, Kouakou M, Duong L, Vahey J, Steele L, Quaden R, Harrington K, Ahmed S, Gaziano J, Concato J, Zhao H, Radhakrishnan K, Gelernter J, Gifford E, Aslan M, Helmer D, Hauser E, Polimanti R, Program O. Unraveling the genetics of gulf war illness in diverse participants enrolled in the million veteran program. Human Molecular Genetics 2025, ddaf075. PMID: 40366759, DOI: 10.1093/hmg/ddaf075.Peer-Reviewed Original ResearchAltmetricConceptsPolygenic scoresGulf War IllnessGenome-wide dataDepression polygenic scoresPhenome-wide analysisDiverse ancestral backgroundsT2D polygenic scoreAssociated with higher oddsGulf War eraPolygenic architectureAncestral backgroundVeteran ProgramChronic conditionsHigher oddsType 2 diabetesGW veteransVeteransDisease pathogenesisDiverse participantsGulf WarOddsPhysical strengthIllnessComprehensive assessmentAnxietyCombining Cognitive‐Behaviour Therapy With Mindfulness Training in a Digital Intervention for Binge Eating Disorder: A Single‐Session Pilot Trial
Sala M, Roos C, Kober H, Bricker J, Stern C, Plutchik J, John M, Haeny A, Feldman J, Aslan M, Hay J, Forman E. Combining Cognitive‐Behaviour Therapy With Mindfulness Training in a Digital Intervention for Binge Eating Disorder: A Single‐Session Pilot Trial. European Eating Disorders Review 2025, 33: 1051-1060. PMID: 40350587, PMCID: PMC12318168, DOI: 10.1002/erv.3204.Peer-Reviewed Original ResearchCitationsAltmetricConceptsBinge Eating ScaleBinge eating episodesCognitive behavioral therapyEating Disorder SymptomsBinge-eating disorderEDE-QDisorder symptomsMindfulness trainingEating episodesGlobal eating disorder symptomsBinge Eating Scale scoresEating Disorder Examination QuestionnaireReducing binge eatingCognitive-behavioral therapyBinge Eating DisorderSingle-session interventionEnglish-speaking adultsCognitive-behavioralBinge eatingBehavioral therapyEating ScaleExamination QuestionnaireEating DisordersEpisodic questionsDigital interventions505. Understanding the Pleiotropy Contributing to the Comorbidities Among Psychopathology, Chronic Back Pain, and Spinal Degenerative Disease
Qiu D, Friligkou E, He J, Mendoza B, Aslan M, Gupta M, Polimanti R. 505. Understanding the Pleiotropy Contributing to the Comorbidities Among Psychopathology, Chronic Back Pain, and Spinal Degenerative Disease. Biological Psychiatry 2025, 97: s305-s306. DOI: 10.1016/j.biopsych.2025.02.744.Peer-Reviewed Original ResearchSeverity and Long-Term Mortality of COVID-19, Influenza, and Respiratory Syncytial Virus
Bajema K, Bui D, Yan L, Li Y, Rajeevan N, Vergun R, Berry K, Huang Y, Lin H, Aslan M, Ioannou G. Severity and Long-Term Mortality of COVID-19, Influenza, and Respiratory Syncytial Virus. JAMA Internal Medicine 2025, 185: 324-334. PMID: 39869355, PMCID: PMC11773409, DOI: 10.1001/jamainternmed.2024.7452.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsRespiratory syncytial virusLong-term mortalitySARS-CoV-2Syncytial virusCohort studyAssociated with higher long-term mortalityRisk differenceIntensive care unit admissionSeasonal influenza vaccineRetrospective cohort studyDisease severity of COVID-19Long-term deathAssociated with more severe disease outcomesRisk of deathCompare disease severitySevere disease outcomesRisk of hospitalizationSeverity of COVID-19Same-day testingInfluenza vaccineInverse probability weightingUnit admissionCumulative incidenceMortality of COVID-19Primary outcomeEffectiveness of the 2023-to-2024 XBB.1.5 COVID-19 Vaccines Over Long-Term Follow-up : A Target Trial Emulation.
Ioannou G, Berry K, Rajeevan N, Li Y, Yan L, Huang Y, Lin H, Bui D, Hynes D, Rowneki M, Bohnert A, Boyko E, Iwashyna T, Maciejewski M, Smith V, Berkowitz T, O'Hare A, Viglianti E, Aslan M, Bajema K. Effectiveness of the 2023-to-2024 XBB.1.5 COVID-19 Vaccines Over Long-Term Follow-up : A Target Trial Emulation. Annals Of Internal Medicine 2025, 178: 348-359. PMID: 39903865, DOI: 10.7326/annals-24-01015.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsU.S. Department of Veterans AffairsDepartment of Veterans AffairsMatched index dateVaccine effectivenessTarget trial emulationSARS-CoV-2-associated deathsRandomized Controlled TrialsCOVID-19 vaccineSARS-CoV-2-related outcomesSARS-CoV-2 testingVeterans AffairsResidual confoundingAbsence of randomized controlled trialsLong-term follow-upDocumented SARS-CoV-2 infectionTrial emulationUnvaccinated personsIndex datePositive resultsControlled TrialsCOVID-19SARS-CoV-2 infectionIncomplete captureHospitalDocumented infectionGenomics yields biological and phenotypic insights into bipolar disorder
Lee B, Kim J, Lee Y, Kang J, Cheon M, Kim D, Aslan M, Harvey P, Huang G. Genomics yields biological and phenotypic insights into bipolar disorder. Nature 2025, 639: 968-975. PMID: 39843750, PMCID: PMC12163093, DOI: 10.1038/s41586-024-08468-9.Peer-Reviewed Original ResearchCitationsAltmetricConceptsFine-mappingGenetic architectureGenome-wide significant lociMulti-ancestry meta-analysisGenetic architecture of bipolar disorderRare variant signalsSignificant lociGenetic determinantsBipolar disorderVariant signalsLatino ancestryCell typesEast Asian cohortsPhenotypic insightsPathophysiology of bipolar disorderGenesMedium spiny neuronsBipolar disorder subtypesPatient ascertainmentAetiology of bipolar disorderGABAergic interneuronsSpiny neuronsAsian cohortGenomeGlobal burdenRespiratory syncytial virus vaccine effectiveness among US veterans, September, 2023 to March, 2024: a target trial emulation study
Bajema K, Yan L, Li Y, Argraves S, Rajeevan N, Fox A, Vergun R, Berry K, Bui D, Huang Y, Lin H, Hynes D, Lucero-Obusan C, Schirmer P, Cunningham F, Huang G, Aslan M, Ioannou G. Respiratory syncytial virus vaccine effectiveness among US veterans, September, 2023 to March, 2024: a target trial emulation study. The Lancet Infectious Diseases 2025, 25: 625-633. PMID: 39848264, DOI: 10.1016/s1473-3099(24)00796-5.Peer-Reviewed Original ResearchCitationsAltmetricConceptsRespiratory syncytial virusRespiratory syncytial virus vaccinePositive RSV testVaccine effectivenessRSV testCare encountersSecondary outcomesEmergency departmentRSV-associated hospitalisationsMedian Follow-UpUS Food and Drug AdministrationHealth-care useVeterans Health AdministrationRespiratory illness seasonMatched index dateElectronic health recordsLower respiratory tract diseaseRSV-related illnessFood and Drug AdministrationDepartment of Veterans Affairs Cooperative Studies ProgramVeterans Affairs Cooperative Studies ProgramCooperative Studies ProgramRSV infectionMedian ageUS DepartmentA framework for monitoring RSV prevention product effectiveness in the United States
Roper L, Link-Gelles R, Surie D, DeCuir J, Zambrano L, Prill M, Havers F, Jones J, Melgar M, Hall A, Whitehead R, McMorrow M, Ioannou G, Hernandez-Romieu A, Britton A, Novosad S, Martin A, Feldstein L, Bajema K, Kirking H, Moline H, Campbell A, Aslan M, Hatfield K, Dawood F, Slayton R, Reddy S, Gomes D, Fleming-Dutra K, Payne A. A framework for monitoring RSV prevention product effectiveness in the United States. Vaccine 2025, 45: 126633. PMID: 39755055, DOI: 10.1016/j.vaccine.2024.126633.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
Get In Touch
Copy Link
Contacts
Academic Office Number
Locations
VA Connecticut Healthcare
Academic Office
950 Campbell Avenue
West Haven, CT 06516