Vijaya B. Kolachalama, PhD, FAHA

Associate Professor, Boston University Chobanian & Avedisian School of Medicine

Biography

We are a highly interdisciplinary research group, bringing together trainees and scientists from computer science, neuroscience, bioinformatics, physics, computing and data sciences, electrical and computer engineering, and medicine. We actively collaborate with clinicians and domain experts across diverse specialties and institutions globally. This unique convergence of disciplines has enabled us to publish across the full spectrum of scientific inquiry, from top-tier journals like Nature Medicine to premier computer science venues such as the International Conference on Machine Learning (ICML). Our mission is to create methods to fit the science and not make science fit the methods. Together, we are advancing impactful science at the intersection of AI and human health.

Publications

  • Published 10/1/2025

    Lteif D, Appapogu D, Bargal SA, Plummer BA, Kolachalama VB. Anatomy-Guided, Modality-Agnostic Segmentation of Neuroimaging Abnormalities. Hum Brain Mapp. 2025 Oct 01; 46(14):e70329. PMID: 40958458.

    Read at: PubMed

  • Published 9/1/2025

    Bellitti M, Lauber MV, Searls E, Lin H, Au R, Kolachalama VB. Practice effects on digital cognitive assessment tools: insights from the defense automated neurobehavioral assessment battery. Alzheimers Dement. 2025 Sep; 21(9):e70644. PMID: 40911708.

    Read at: PubMed

  • Published 8/11/2025

    Jasodanand VH, Kowshik SS, Puducheri S, Romano MF, Xu L, Au R, Kolachalama VB. AI-driven fusion of multimodal data for Alzheimer's disease biomarker assessment. Nat Commun. 2025 Aug 11; 16(1):7407. PMID: 40789853.

    Read at: PubMed

  • Published 7/25/2025

    BaniHani D, Eberth JF, Spinale FG, Chitalia VC, Ferdous J, Kolachalama VB, Shazly T. Towards the Integration of an Anti-Contractile Compound Within Drug-Coated Balloon Therapy. Cardiovasc Eng Technol. 2025 Jul 25. PMID: 40716000.

    Read at: PubMed

  • Published 7/17/2025

    Yang J, Amini S, Hao B, Park S, Karjadi C, San Souci L, Kolachalama VB, Cosentino S, Andersen SL, Au R, Ch Paschalidis I. Developing an accessible dementia assessment tool: Leveraging a residual network, the trail making test, and demographic data. J Alzheimers Dis. 2025 Sep; 107(1):128-145. PMID: 40676898.

    Read at: PubMed

Other Positions

  • Member, Whitaker Cardiovascular Institute
    Boston University
  • Member, Evans Center for Interdisciplinary Biomedical Research
    Boston University
  • Assistant Professor, Computing & Data Sciences Administration
    Boston University Chobanian & Avedisian School of Medicine, Graduate Medical Sciences

Education

  • Indian Institute of Technology, Kharagpur, India, BS
  • University of Southampton, UK, PhD