David P. Ng

David P. Ng, MD

Languages spoken: English

  • Dr. Ng is an assistant professor of pathology at the University of Utah school of Medicine. He received his undergraduate degree at the University of Illinois at Urbana-Champaign in Electrical Engineering specializing in signal and image processing before attending medical school at the University of Illinois at Chicago. He completed an Anatomic and Clinical Pathology residency at Dartmouth-Hitchcock Medical Center followed by a fellowship in Hematopathology at the University of Washington. He is board certified in anatomic and clinical pathology (AP/CP) and hematopathology by the American Board of Pathology and was the 2014 ICCS Janis Giorgi Young Investigator Award winner. From 2015 to 2019, he was a hematopathologist and associate director of the flow cytometry lab at PhenoPath Laboratories in Seattle, WA. His research interests include high dimensional flow data analysis, machine learning, natural language processing, minimal residual disease testing, and applications of 10+ color flow in the clinical flow cytometry lab.

    Specialties

    Board Certification

    American Board of Pathology (Anatomic & Clinical)
    American Board of Pathology (Sub: Hematology)

  • Dr. Ng is an assistant professor of pathology at the University of Utah school of Medicine. He received his undergraduate degree at the University of Illinois at Urbana-Champaign in Electrical Engineering specializing in signal and image processing before attending medical school at the University of Illinois at Chicago. He completed an Anatomic and Clinical Pathology residency at Dartmouth-Hitchcock Medical Center followed by a fellowship in Hematopathology at the University of Washington. He is board certified in anatomic and clinical pathology (AP/CP) and hematopathology by the American Board of Pathology and was the 2014 ICCS Janis Giorgi Young Investigator Award winner. From 2015 to 2019, he was a hematopathologist and associate director of the flow cytometry lab at PhenoPath Laboratories in Seattle, WA. His research interests include high dimensional flow data analysis, machine learning, natural language processing, minimal residual disease testing, and applications of 10+ color flow in the clinical flow cytometry lab.

    Board Certification and Academic Information

    Academic Departments Pathology -Primary
    Board Certification
    American Board of Pathology (Anatomic & Clinical)
    American Board of Pathology (Sub: Hematology)

    Education history

    Fellowship Hematopathology - University of Washington Medicine Senior Fellow
    Anatomic and Clinical Pathology - Dartmouth-Hitchcock Medical Center Resident
    Professional Medical Medicine - University of Illinois at Chicago College of Medicine M.D.
    Major: Electrical Engineering; Minors: Bioengineering, Chemistry - University of Illinois at Urbana-Champaign, College of Engineering B.S.

    Selected Publications

    Journal Article

    1. Ng DP, Simonson PD, Tarnok A, Lucas F, Kern W, Rolf N, Bogdanoski G, Green C, Brinkman RR, Czechowska K (2024). Recommendations for using artificial intelligence in clinical flow cytometry. Cytometry B Clin Cytom. (Read full article)
    2. Vander Mause ER, Baker JM, Dietze KA, Radhakrishnan SV, Iraguha T, Omili D, Davis P, Chidester SL, Modzelewska K, Panse J, Marvin JE, Olson ML, Steinbach M, Ng DP, Lim CS, Atanackovic D, Luetkens T (2023). Systematic single amino acid affinity tuning of CD229 CAR T cells retains efficacy against multiple myeloma and eliminates on-target off-tumor toxicity. Sci Transl Med, 15(705), eadd7900. (Read full article)
    3. Gociman S, Florell S, Ng DP, Wada D, Madigan LM (May 2023). Young woman with annular and purpuric plaques in the setting of high fevers. Am J Dermatopathol, 45(5), e32-e34.
    4. Lu KL, Menke JR, Ng DP, Ruiz-Cordero R, Marinoff A, Stieglist E, Gollapudi S, Sing K, Ohgami RS, Vohra P (2022). Cytomorphologic features of pediatric-type follicular lymphoma on fine needle aspiration biopsy: case series and a review of the literature. J Am Soc Cytopathol, 11(5), 281-294.
    5. Ng DP, Karner KH (2021). BCR-ABL1 (p210) Transcript Kinetics. Arch Pathol Lab Med, 146(9), 1140-1143. (Read full article)
    6. Ng DP Miles RR Anderson EF Toydemir RM (2021). Flow Cytometry Is More Sensitive Than Fluorescence In Situ Hybridization for Detecting Minimal Residual Disease. Am J Clin Pathol.
    7. Ng DP (2021). Flow Cytometric Myeloma Measurable Residual Disease testing in the Era of Targeted Therapies. Int J Lab Hematol, 43(S1), 71-77.
    8. Ng DP, Zuromski LM (2020). Augmented Human Intelligence and Automated Diagnosis in Flow Cytometry for Hematologic Malignancies. Am J Clin Pathol, 155(4), 597-605.
    9. Yeung CCS, McElhone S, Chen XY, Ng D, Storer BE, Deeg HJ, Fang M (2018). Impact of copy neutral loss of heterozygosity and total genome aberrations on survival in myelodysplastic syndrome. Mod Pathol, 31(4), 569-580. (Read full article)
    10. Ng D, Polito FA, Cervinski MA (2016). Optimization of a Moving Averages Program Using a Simulated Annealing Algorithm: The Goal is to Monitor the Process Not the Patients. Clin Chem, 62(10), 1361-71. (Read full article)
    11. Ng DP, Wu D, Wood BL, Fromm JR (2015). Computer-aided detection of rare tumor populations in flow cytometry: an example with classic Hodgkin lymphoma. Am J Clin Pathol, 144(3), 517-24. (Read full article)
    12. Reeves JG, Suriawinata AA, Ng DP, Holubar SD, Mills JB, Barth RJ Jr (2013). Short-term preoperative diet modification reduces steatosis and blood loss in patients undergoing liver resection. Surgery, 154(5), 1031-7. (Read full article)
    13. Marotti JD, Johncox V, Ng D, Gonzalez JL, Padmanabhan V (2012). Implementation of telecytology for immediate assessment of endoscopic ultrasound-guided fine-needle aspirations compared to conventional on-site evaluation: analysis of 240 consecutive cases. Acta Cytol, 56(5), 548-53. (Read full article)
    14. Bean J, Ng D, Demirtas H, Guinan P (2008). Medical Students’ attitudes towards torture. Torture, 18(2), 99-103.

    Review

    1. Ng DP, Werner D, Oak J, Devitt K, Oldaker T (2021). Challenges in Transitioning from 5 color to 10 color Flow Cytometry. [Review]. 22.

    Book Chapter

    1. Ng D (2016). BOB1. In Chetty R, Cooper K, Gown AM (Eds.), Leong’s Manual of Diagnostic Antibodies forImmunohistology (Third Edition, pp. 31-2). New York: Cambridge University Press.
    2. Ng D (2016). OCT2. In Chetty R, Cooper K, Gown AM (Eds.), Leong’s Manual of Diagnostic Antibodies forImmunohistology (Third Edition, pp. 343-4). New York: Cambridge University Press.
    3. Ng D (2016). PAX-5. In Chetty R, Cooper K, Gown AM (Eds.), Leong’s Manual of Diagnostic Antibodies forImmunohistology (Third Edition, pp. 373-4). New York: Cambridge University Press.

    Conference Proceedings

    1. Zhang X, Mahesh V, Ng D, Hubbard R, Ailiani A, Ohare B, Benesi A, Webb A (2005). Design, construction and NMR testing of a 1 tesla Halbach Permanent Magnet for Magnetic Resonance. Proceedings of the COMSOL Conference, Boston, MA.

    Case Report

    1. Kuceki G, Nguyen C, Ng D, Wada D, Mathis J (2023). Oral diffuse large B-cell lymphoma presenting as a bland nodule. JAAD Case Rep, 36, 34-37. (Read full article)
    2. Almiski M, Ng DP, Moltzan C, Francischetti IM, Sellen LD (2021). Pax-5 negative B-cell Lymphoma. Hum Pathol (N Y).
    3. Dunbar NM, Marx-Wood CR, Maynard KJ, Ng DP, Szczepiorkowski ZM, Dumont LJ (2012). Retrograde patient blood flow and rouleaux preventing red blood cell transfusion. Transfusion, 52(11), 2284. (Read full article)

    Editorial

    1. Ng DP, Herman DS (2020). How to Implement Patient-Based Quality Control: Trial and Error. 5(6), 1153-1155.

    Abstract

    1. Willams M, Li P, Ng DP (2020). Number of Variants and Pathogenic Variants in ASXL1, STAG2, and RUNX1 Correlate with High Ogata Score by Flow Cytometry in Myelodysplastic Syndromes: A National Reference Laboratory Experience [Abstract].
    2. Mohlman J, Kohan JNg DP (2020). Grading Follicular Lymphomas Using Augmented Human Intelligence.   [Abstract].
    3. Willams M, Li P, Ng DP (2020). Ogata Scores Show Similar Performance Across Platforms in Predicting Myelodysplastic Syndromes. [Abstract].

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