Membership Organizations

  • AMA: American Medical Association/ CMA: California Medical Association, Co-President
  • APAMSA: Asian/Pacific American Medical Student Association, Co-President
  • Pacific Free Clinic, Women's Clinic Coordinator
  • Screen Team, Volunteer
  • PALS - Pediatric Chronic Disease Mentorship Program, Volunteer

Education & Certifications

  • Bachelor of Science, University of California Los Angeles, Biological Sciences (2011)


  • 2013 Summer - MED 300A General Medicine Core Clerkship

Stanford Advisors

Personal Interests

Mentoring, Hiking, Running 1/2 marathons, Singing


Journal Articles

  • Native American skin offerings mistaken for acne scars in a college undergraduate. Archives of dermatology Truong, A., Wong, J. W., Chang, A. L. 2012; 148 (10): 1214-1215

    View details for DOI 10.1001/archdermatol.2012.592

    View details for PubMedID 23069975

  • A primer on the current state of microarray technologies. Methods in molecular biology (Clifton, N.J.) Trachtenberg, A. J., Robert, J., Abdalla, A. E., Fraser, A., He, S. Y., Lacy, J. N., Rivas-Morello, C., Truong, A., Hardiman, G., Ohno-Machado, L., Liu, F., Hovig, E., Kuo, W. P. 2012; 802: 3-17


    DNA microarray technology has been used for genome-wide gene expression studies that incorporate molecular genetics and computer science analyses on massive levels. The availability of microarrays permit the simultaneous analysis of tens of thousands of genes for the purposes of gene discovery, disease diagnosis, improved drug development, and therapeutics tailored to specific disease processes. In this chapter, we provide an overview on the current state of common microarray technologies and platforms. Since many genes contribute to normal functioning, research efforts are moving from the search for a disease-specific gene to the understanding of the biochemical and molecular functioning of a variety of genes whose disrupted interaction in complicated networks can lead to a disease state. The field of microarrays has evolved over the past decade and is now standardized with a high level of quality control, while providing a relatively inexpensive and reliable alternative to studying various aspects of gene expression.

    View details for DOI 10.1007/978-1-61779-400-1_1

    View details for PubMedID 22130870

  • A Metaproteomic Approach to Study Human-Microbial Ecosystems at the Mucosal Luminal Interface PLOS ONE Li, X., LeBlanc, J., Allison Truong, A., Vuthoori, R., Chen, S. S., Lustgarten, J. L., Roth, B., Allard, J., Ippoliti, A., Presley, L. L., Borneman, J., Bigbee, W. L., Gopalakrishnan, V., Graeber, T. G., Elashoff, D., Braun, J., Goodglick, L. 2011; 6 (11)


    Aberrant interactions between the host and the intestinal bacteria are thought to contribute to the pathogenesis of many digestive diseases. However, studying the complex ecosystem at the human mucosal-luminal interface (MLI) is challenging and requires an integrative systems biology approach. Therefore, we developed a novel method integrating lavage sampling of the human mucosal surface, high-throughput proteomics, and a unique suite of bioinformatic and statistical analyses. Shotgun proteomic analysis of secreted proteins recovered from the MLI confirmed the presence of both human and bacterial components. To profile the MLI metaproteome, we collected 205 mucosal lavage samples from 38 healthy subjects, and subjected them to high-throughput proteomics. The spectral data were subjected to a rigorous data processing pipeline to optimize suitability for quantitation and analysis, and then were evaluated using a set of biostatistical tools. Compared to the mucosal transcriptome, the MLI metaproteome was enriched for extracellular proteins involved in response to stimulus and immune system processes. Analysis of the metaproteome revealed significant individual-related as well as anatomic region-related (biogeographic) features. Quantitative shotgun proteomics established the identity and confirmed the biogeographic association of 49 proteins (including 3 functional protein networks) demarcating the proximal and distal colon. This robust and integrated proteomic approach is thus effective for identifying functional features of the human mucosal ecosystem, and a fresh understanding of the basic biology and disease processes at the MLI.

    View details for DOI 10.1371/journal.pone.0026542

    View details for Web of Science ID 000297789900004

    View details for PubMedID 22132074

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