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 7/24/2026

    Ibrahim A, Kolachalama VB, Abuelsamen T, Mekki O, Takayama S, Wynne BM, Chemaly E, Alsaleem A, Revelo M, Sauer L, Vitale A, Thomas A, Pasaye M, Schmitz-Valckenberg S, Gregory M, Bernstein PS, Al-Rabadi L. Noninvasive optical coherence tomography biomarker for Alport syndrome, COL4-related focal segmental glomerulosclerosis, and COL4 variant interpretation. Kidney Int. 2026 Jul 24. PMID: 42498059.

    Read at: PubMed

  • Published 6/17/2026

    Krishnan L, Gunasekaran G, Dhore T, Lauinger A, Kolachalama V, Pappu S. Leveraging artificial intelligence for analysis of the gut microbiome for dementia diagnosis: a scoping review and discussion. Front Dement. 2026; 5:1865441. PMID: 42389671.

    Read at: PubMed

  • Published 4/16/2026

    Ahangaran M, Jia S, Chitalia S, Athavale A, Francis JM, O'Donnell MW, Bavi SR, Gupta UD, Kolachalama VB. Performance of open-source large language models on nephrology self-assessment program. medRxiv. 2026 Apr 16. PMID: 42064960.

    Read at: PubMed

  • Published 4/8/2026

    Xu L, Kefella Y, Zhang Y, Conrad RD, Anderson KE, Krysan K, Liu G, Kane E, Pennycuick A, Merrick DT, Janes SM, Reid ME, Burks EJ, Billatos E, Mazzilli SA, Kolachalama VB, Beane JE. Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions. Genome Med. 2026 Apr 08; 18(1). PMID: 41952176.

    Read at: PubMed

  • Published 4/4/2026

    Lteif D, Jia S, Bit S, Kaliaev A, Mian AZ, Small JE, Mangaleswaran B, Plummer BA, Bargal SA, Au R, Kolachalama VB. Vision-language framework for multi-sequence brain magnetic resonance imaging. medRxiv. 2026 Apr 04. PMID: 41959770.

    Read at: PubMed

View All 143 Publications:   View Full Profile in BUMC

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

Websites

Education

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

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