Resume

Software engineer and data scientist with a Master of Science degree in bioinformatics and computational biomedicine from Oregon Health & Science University. Strong programming skills, motivated to contribute on a technical team partnering with biologists to leverage computational tools to advance biology and biomedical research especially by developing highly performant, scalable, interactive data analysis and visualization tools.

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Work Experience

Data Scientist — NanoString Technologies Inc. — Seattle, Washington (Remote) — 2021–2023

• Created internal tool for interactively visualizing images and data by writing a plugin Python module to the napari viewer, including tools for efficiently transforming large datasets using Dask and Zarr.
• Method development and implementation for a novel spatial multiomics platform including applying statistical methods from spatial analysis as well as image analysis leveraging tools in the SciPy stack.
• Contributed to figures—including cover—for published manuscript on CosMx SMI technology.
• Supporting workflows for R&D scientists on AWS using Jenkins, Terraform, and Docker.
• Analysis of pancreatic tissue data for medical researchers studying diabetes.
• Collaborated with external software contractors to develop commercial software.
• Co-inventor on provisional patent application “Method and system of multi-modal sub-cellular segmentation”.
• Technical mentor to biologists and junior engineers.

Biostatistics Intern — NanoString Technologies Inc. — Seattle, Washington (Remote) — 2021

• Developed interactive visualization tool using R Shiny for exploring spatial transcriptomics data.
• Contributed to development of new data analysis pipeline for technology access program.
• Presented interactive visualization tool to senior leadership as well as current customers.

Bioinformatics Scientist Intern — Providence Cancer Center — Portland, Oregon — 2020

• Working closely with immunologist principal investigator, performed bioinformatics analyses to support cancer immunology research.
• Used Seurat R package to analyze scRNA-seq data from tumor-infiltrating lymphocytes.
• Created two interactive apps for data visualization and analysis of multiplex immunohistochemistry and TCR-seq data using R shiny package.
• Created visualization for scientific journal article published in Cancer Immunology Research.

Education

Master of Science — Oregon Health & Science University — Portland, Oregon — 2021

• Major: Bioinformatics and computational biomedicine
• Related coursework: Statistics, Machine Learning, Bioinformatics Algorithms, Computational Genetics, Data Visualization

Post-Baccalaureate — Portland State University — Portland, Oregon — 2018–2019

• Major: Biology
• Related coursework: Genetics, Molecular Biology, Cell Biology, Virology, Cancer Biology

Massive Open Online Courses — edX.org — 2016–2018

• Related coursework: Chemistry, Biology, Differential Equations, Data Science

Bachelor of Arts — Davidson College — Davidson, North Carolina — 1998

• Major: Economics

Additional Work Experience

Independent Software Developer — David Ross Software — Portland, Oregon — 2004–2014

• Developer of Windows, Mac and iOS apps.
• Created multiple apps for iOS platform including Uni Sudoku which was featured in the launch of the App Store for iPad.
• Created the Knit Buddy iPhone app in partnership with Vogue Knitting.

Software Developer — American Management Systems — Fairfax, Virginia — 1998–2002

• Developed market-leading financial management software sold to federal civilian agencies with up to 5000+ users.
• Technical manager in charge of release-specific enhancements and responsible for improving software development processes from design stages through implementation.
• C++ application server and Smalltalk GUI development.
• Complex data manipulation with SQL on various relational database platforms.

Publications

• He, S. et al. High-plex imaging of RNA and proteins at subcellular resolution in Rixed tissue by spatial molecular imaging. Nat Biotechnol 40, 1794–1806 (2022). doi:10.1038/s41587-022-01483-z.
• Duhen, R. et al. PD-1 and ICOS co-expression identiRies tumor-reactive CD4 T cells in human solid tumors. Journal of Clinical Investigation (2022) doi:10.1172/JCI156821.
• Rajamanickam, V. et al. Robust Antitumor Immunity in a Patient with Metastatic Colorectal Cancer Treated with Cytotoxic Regimens. Cancer Immunol Res (2021) doi:10.1158/2326-6066.CIR-20-1024.
• Danaher, P. et al. Insitutype: likelihood-based cell typing for single cell spatial transcriptomics. (2022) doi:10.1101/2022.10.19.512902.
• Kolar, G. R., Ross, D., Killingbeck, E. E., Samson, W. K. & Yosten, G. L. C. Spatial molecular imaging of the human type 2 diabetic islet. (2023) doi:10.1101/2023.01.04.519955.