Research Associate

PROFESSIONAL SUMMARY

Multidisciplinary Research Associate with dual expertise in Metabolic Wet Lab techniques and Computational Data Science. Proven track record in executing high-precision euglycemic clamps, molecular cloning, and high-dimensional transcriptomic analysis. Expert in leveraging R and Python for predictive modeling, bootstrapping, and ROSE analysis to drive clinical insights.

CORE COMPETENCIES

Hard Skills (Technical Mastery)

Soft Skills (Leadership & Collaboration)

Metabolic Assays: Hyperinsulinemic Clamp, GTT, Radiolabeled Glucose Tracing

Scientific Communication: Presenting complex data to stakeholders

Molecular Biology: DNA/RNA/Protein Extraction, rtPCR/qPCR, Cell Cloning

Leadership: Interim Laboratory Management & mentorship

Advanced Protein Analysis: ProteinSimple Western (Wes/Sally), Luminex, ELISA

Problem Solving: Troubleshooting assays & optimizing protocols

Bioinformatics: DGE, PCA, GSEA, GSVA, Homer Motif, ROSE Analysis

Organization: Data management & experimental project coordination

Programming: R (ggplot2, ComplexHeatmaps), Python, Java, SQL

Cross-functional Teamwork: Coordinating wet/dry lab workflows

PROFESSIONAL EXPERIENCE

University of Massachusetts Chan Medical School Worcester, MA

Research Associate I / Interim Laboratory Manager Dec 2024 – Present

Lead Metabolic Studies: Direct metabolic and analytical studies for the UMass Metabolic Disease Research Core, overseeing data organization and animal husbandry.

Precision Metabolic Profiling: Execute euglycemic hyperinsulinemic clamp assays to determine whole-body insulin sensitivity and quantify tissue-specific glucose uptake.

Data Science Integration: Develop predictive models in R/Python that improved forecast accuracy by 25% and utilized machine learning to reduce unplanned system downtime by 30%.

Advanced Analytics: Evaluate multi-variable correlations (Pearson/Spearman) and implement ROSE analysis to handle imbalanced datasets in clinical modeling.

University of Massachusetts Chan Medical School Worcester, MA

Research Associate I March 2024 – Sept 2024

Cell Line Engineering: Maintained and expanded human and mouse cell lines, performing specialized cell collection for downstream molecular analysis.

Molecular Validation: Executed consistent qPCR and Western blotting protocols to validate gene expression and protein levels.

Vector Development: Assisted with bacterial cell cloning and viral titration assays to support gene delivery research.

Transcriptomic Support: Performed a variety of computational assays on transcriptomics data to assist in preliminary study results.

National Cancer Institute (NCI) Bethesda, MD

Post-baccalaureate CRTA Research Fellow Sept 2020 – Aug 2023

Biomarker Discovery: Utilized RNA-sequencing (DGE, GSEA, GSVA) to identify novel biomarkers underlying drug response phenotypes in prostate cancer organoid models.

Predictive Modeling: Developed a prognostic docetaxel response signature utilizing supervised machine learning algorithms.

Statistical Validation: Implemented BCa bootstrapping and 1,000+ resamples to internally validate thresholds and ensure model stability.

Data Visualization: Generated publication-quality figures illustrating genomic variance through PCA and UMAP using R (ggplot2, ComplexHeatmaps).

EDUCATION & AWARDS

Mount St. Mary’s University, Emmitsburg, MD Bachelor of Science in Biology

Coursework: Data Structures & Algorithms, Software Development, Cancer Biology, Genetics, Pharmacology.

Award: Cancer Research Training Award (CRTA), National Cancer Institute.

SELECTED PUBLICATIONS

1.Hanna Choi, Asha Daryanani, Joel Bowman, et al. "Estrogen Modulates Obesity Effects on Neurobehavioral Phenotypes in a Female Mouse Model of Alzheimer’s Disease." Diabetes (2025; 74(Supplement_1): 1681-P).

2.Asha Daryanani, Hanna Choi, Muhammad Saijid, William Martenis, Joshuel Velasco, Joel Bowman, et al. "Region-Specific Effects of Early Aging on Glucose Metabolism in the Brain." Diabetes (2025; 74(Supplement_1): 1595-P).

3.Xavier T.R. Moore, Margaret E. White, Thomas Pranzatelli, Anson T. Ku, Joel Bowman, et al. "Interrogating FOLH1/PSMA Regulation in Prostate Cancer using CRISPR Screens." Manuscript Submitted for Publication (2025).

4.Ilya S. Senatorov, Joel Bowman, Keith H. Jansson, et al. "Castrate-Resistant Prostate Cancer Response to Taxane is Determined by an HNF1-Dependent Apoptosis Resistance Circuit." Cell Reports Medicine (2024; 5(12): 101851). DOI: 10.1016/j.xcrm.2024.101851

5.JuanJuan Yin, Asha Daryanani, Fan Lu, Anson T. Ku, John R. Bright, Aian Neil S. Alilin, Joel Bowman, et al. "Reproducible Preclinical Models of Androgen Receptor Driven Human Prostate Cancer Bone Metastasis." The Prostate (2024; 84(11): 1033-1047). DOI: 10.1002/pros.24716

6.Supreet Agarwal, Lei Fang, Kerry McGowen, JuanJuan Yin, Joel Bowman, et al. "Tumor-Derived Biomarkers Predict Efficacy of B7H3 Antibody-Drug Conjugate Treatment in Metastatic Prostate Cancer Models." The Journal of Clinical Investigation (2023; 133(22): e162148). DOI: 10.1172/JCI162148

7.Lei Fang, Dongmei Li, JuanJuan Yin, Hong Pan, Huihui Ye, Joel Bowman, et al. "TMPRSS2-ERG Promotes the Initiation of Prostate Cancer by Suppressing Oncogene-Induced Senescence." Cancer Gene Therapy (2022; 29(10): 1461-1473). DOI: 10.1038/s41417-022-00465-y

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