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Researcher

Crawford Lab | Raphael Lab | Rao Lab | Meltzer Lab | Kalkum Lab

As an MD-PhD candidate at Brown University, I am advised by Dr. Lorin Crawford, PhD at the Center for Statistical Sciences and the Center for Computational Molecular Biology. My research interests broadly include developing interpretable statistical and computational tools for cancer and personalized medicine. Below is a list of my publications.

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Publications

[1] The Cancer Genome Atlas Research Network. Integrated genomic characterization of oesophageal carcinoma. Nature 2017, 541(7636):169-175.

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[2] Champer M, Wong AM, Champer J, Brito IL, Messer PW, Hou JY, Wright JD. The role of the vaginal microbiome in gynaecological cancer. British Journal of Obstetrics and Gynaecology 2017, DOI: 10.1111/1471-0528.14631

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Posters

[1] Wong AM, El-Deiry W, and Crawford L, “Biologically Interpretable Prediction of Synergistic Anticancer Drug Combinations” (2023). 31st Conference On Intelligent Systems for Molecular Biology. Lyon, France.

 

[2] Wong AM, and Crawford L, "Statistically Modeling the Null Space of Drug Efficacy Enables the Identification of Novel Synergistic Combinations in Cancer Therapeutics" (2020). Warren Alpert Medical School Academic Symposium. Brown Digital Repository. Brown University Library. https://doi.org/10.26300/8r2a-br81

 

[3] Wong AM, Palner M, and Rao J, "Quantitative PET of the [18F]-C-SNAT Apoptosis Tracer Following Tumor Response to Radiotherapy" (2014). Stanford Institutes of Medicine Summer Research Program Poster Session.

 

[4] Wong AM, McNiven N, Champer J, Li H, Vaidehi N, and Kalkum M, "Shining the Light on Botulism: Engineering a Luciferase Proenzyme for the Detection of Botulinum Neurotoxin" (2013). City of Hope Eugene and Ruth Roberts Summer Academy Poster Session.


[5] Wong AM, “Developing a Diagnostic Kit for Gastric Cancer Metastasis” (2012). Bay Area BioGENEius Challenge; Synopsys Championship.

 

Grants

  • NIH NHLBI T35 HL094308 training grant (2020)

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Experience

PhD Candidate @ Brown University | Crawford Lab (2019-Present)​

  • Statistically Modeling the Null Space of Drug Efficacy Enables the Identification of Novel Synergistic Combinations in Cancer Therapeutics

    • Basic and Translational Research Program (2020)​

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Undergraduate Research Assistant @ Princeton University | Raphael Lab (2014-2018)

  • Patient-Centric Driver Mutations on Protein-Protein Interaction Networks

    • Computer Science Sc.B. Capstone​ Project

  • Statistical Evidence of Clustering of Cancer Genes on Protein-Protein Interaction Networks

    • Summer Research Assistantship Award (2016)​

  • Improvements on HotNet2's Selection of Minimum Edge Weight

  • HotNet2 Analysis and Applications to Esophageal and Gastric Cancers Across Protein-Protein Interaction Networks

    • Publication [1]​

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Research Intern @ Stanford University | Rao Lab (2014)

  • Quantitative PET of the [18F]-C-SNAT Apoptosis Tracer Following Tumor Response to Radiotherapy

  • Selected as one of 80 students out of 1430 applications for the Stanford Institutes for Medical Summer Research Program

  • Nominated for Jessica Saal Award, awarded for dedication, leadership, passion, and enthusiasm for research and life

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Independent Researcher @ Johns Hopkins University | Meltzer Lab (2010-2013)

  • Developing a Multi-Biomarker Diagnostic Kit for Gastric Cancer Metastasis

  • Drafted and submitted provisional patent to United State Patent and Trademark Office

  • Presented project in teleconference call to Head of Biomarkers in Diagnostics Division at F. Hoffmann-La Roche Ltd

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Research Intern @ City of Hope Hospital (ERRSA) | Kalkum Lab (2013)

  • Protein Engineering Approaches to Generate Luciferase Proenzymes for the Detection of Botulinum Neurotoxin

  • Selected as one of 62 students from >1400 applications

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