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Rolando Garcia, Ph.D.

Rolando Garcia, Ph.D.

Assistant Professor

School
Medical School
Department
Pathology

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For more information on the doctor and patient care, please visit the clinical profile.

  • Biography

    Education: 

    Rutgers University 2011-2015 Biomedical Informatics PhD

     

    Fellowship:

    UT Southwestern  2016-2018 Clinical Genetics and Genomics 

    UT Southwestern  2018-2019 Laboratory Genetics and Genomics

  • Education
    Undergraduate School
    University of Texas at San Antonio (1990)
    Graduate School
    Rutgers University, the State University of New Jersey (2009)
    Graduate School
    Rutgers University, the State University of New Jersey (2015)
    Fellowship
    Pathology - Clinical Cytogenetics (2018), Cytogenetics
  • Research Interest
    • Clinical Genetics and Genomics
    • Hematolymphoid Disorders
    • Statistical Learning
  • Publications

    Star Featured Publications

    Unveiling non-coding DMD variants: synergising RNA sequencing and DNA sequencing for enhanced molecular diagnosis.
    Pan Y, Nallamilli BRR, Liu R, Guruju N, Lesperance D, Ma Z, Mathur A, Banks K, Martin AS, García R, Guo F, Hegde M, J Med Genet 2024 Dec
    Recurrent cytogenetic abnormalities reveal alterations that promote progression and transformation in myelodysplastic syndrome.
    García R, Alkayyali T, Gomez LM, Wright C, Chen W, Oliver D, Koduru P, Cancer Genet 2024 Oct 288-289 92-105
    Structural screening and molecular simulation identify potential ligands against the K700E hot spot variant and functional pockets of SF3B1 to modulate splicing in myelodysplastic syndrome.
    García R, Atis M, Cox A, Koduru P, Heliyon 2024 Jun 10 12 e32729
    RNASeq Analysis for Accurate Identification of Fusion Partners in Tumor Specific Translocations Detected by Standard FISH Probes in Hematologic Malignancies.
    Koduru P, Chen W, Fuda F, Kaur G, Awan F, John S, Garcia R, Gagan J, Clin Pathol 2024 17 2632010X241230262
    Automated prediction of acute promyelocytic leukemia from flow cytometry data using a graph neural network pipeline.
    Cox AM, Kim D, García R, Fuda FS, Weinberg OK, Chen W, Am J Clin Pathol 2023 Oct
    A t(11;14)(q13;q32)/CCND1::IGH carrying progenitor germinal B-cell with subsequent cytogenetic aberrations contributes to the development of classic Hodgkin lymphoma.
    García R, Timmons C, Luu H, Miller V, Fuda F, Chen W, Koduru P, Cancer Genet 2022 Oct 268-269 97-102
    An artificial intelligence system applied to recurrent cytogenetic aberrations and genetic progression scores predicts MYC rearrangements in large B-cell lymphoma.
    García R, Hussain A, Chen W, Wilson K, Koduru P, EJHaem 2022 Aug 3 3 707-721
    A Combined Biomarker of Bright CD38 and MYC =55% Is Highly Predictive of Double-/Triple-Hit High-Grade B-Cell Lymphoma.
    Alsuwaidan A, Koduru P, Fuda F, Manuel Jaso J, Chen M, Rosado F, Luu HS, Sweed N, Garcia R, Doucet M, Desai NB, Kumar KA, Awan FT, Ramakrishnan Geethakumari P, Chen W, Am J Clin Pathol 2022 May
    Rhabdomyosarcoma With Epithelioid Features And NSD3::FOXO1 Fusion: Evidence For Reconsideration Of Previously Reported FOXO1::FGFR1 Fusion.
    Rakheja D, Park JY, Yang MS, Martinez DP, Koduru P, Wilson KS, Garcia R, Uddin N, Int J Surg Pathol 2022 May 10668969221098084
    Automated classification of cytogenetic abnormalities in hematolymphoid neoplasms.
    Cox A, Park C, Koduru P, Wilson K, Weinberg O, Chen W, García R, Kim D, Bioinformatics 2021 Dec