Abigail Nam portrait
Currently an Extern @TruBridge

🟢 Open to work

Senior focused on data analytics and psychology

I combine psychology studies with hands-on data work to learn analysis, visualization, and problem solving for social impact.

Work samples

Portfolio items include analyses, visualizations, and reports completed during my externship and academic projects, showing skill growth in data handling and communication.

  • Relationships between AT8, ⍺-synuclein, pTDP43 and GFAP in neocortical layer 1 with dementia status and APOE4 carrier status in Alzheimer’s disease
    Relationships between AT8, ⍺-synuclein, pTDP43 and GFAP in neocortical layer 1 with dementia status and APOE4 carrier status in Alzheimer’s disease

    NEUR 265: Neural Data Analysis · May 2026

    Relationships between AT8, ⍺-synuclein, pTDP43 and GFAP in neocortical layer 1 with dementia status and APOE4 carrier status in Alzheimer’s disease

    Used Python to conduct an original analysis on relationships between biomarkers in the brains of deceased individuals with Alzheimer's disease. Data set from Allen Brain Institute.

    PythonPandasMatplotlibNumpyData AnalysisData Visualization
  • Experimental prompt gamma scatter classification and reorientation for proton beam image reconstruction
    Experimental prompt gamma scatter classification and reorientation for proton beam image reconstruction

    University of Maryland, Baltimore County · Jul 2026

    Experimental prompt gamma scatter classification and reorientation for proton beam image reconstruction

    Applied a machine learning model (fully convolutional network; FCN) to repair raw, misclassified Compton camera triple-scatter prompt gamma interactions in phantom patient experimental data and generated 1-D and 2-D reconstructions of the proton beam using simple back projection (SBP) and kernel-exp

    PythonLinuxSlurm Workload ManagerMachine LearningData AnalysisData VisualizationPyTorch

About me

I combine psychology studies with hands-on data work to learn analysis, visualization, and problem solving for social impact.

I'm Abby Nam, a senior at Lafayette College studying psychology and data science, with a focus on data analytics. I'm building technical and professional skills through a Healthcare Analytics externship with TruBridge. Currently, I am also working with another undergraduate fellow to advance Open Education principles on campus.

Externships

TruBridge Healthcare Data Analytics Externship

TruBridge

Experience

Open Education Fellow

Lafayette College · Aug 2026

NSF Research Fellow (BIGDATAREU)

University of Maryland, Baltimore County · Jun 2026 - Jul 2026

EXCEL Neuroscience Program

Lafayette College · Jan 2026

CaPA Art Marketing Intern

The Maggin Creative and Performing Arts Initiative (CaPA), Lafayette College · Sep 2025 - Dec 2025

Education

Lafayette College

B.S. Psychology, Data Science Minor · Class of 2027

Skills

Data analysisData visualizationStatistical reasoningResearch methodsProblem solvingPythonExcelTableauAdobe Creative SuiteSQLGoogle AnalyticsPublic Speaking
Back to works

Relationships between AT8, ⍺-synuclein, pTDP43 and GFAP in neocortical layer 1 with dementia status and APOE4 carrier status in Alzheimer’s disease

Used Python to conduct an original analysis on relationships between biomarkers in the brains of deceased individuals with Alzheimer's disease. Data set from Allen Brain Institute.

PythonPandasMatplotlibNumpyData AnalysisData Visualization

Overview

Used Python to conduct an original analysis on relationships between biomarkers in the brains of deceased individuals with Alzheimer's disease. Data set from Allen Brain Institute.

Relationships between AT8, ⍺-synuclein, pTDP43 and GFAP in neocortical layer 1 with dementia status and APOE4 carrier status in Alzheimer’s disease
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Back to works

Experimental prompt gamma scatter classification and reorientation for proton beam image reconstruction

Applied a machine learning model (fully convolutional network; FCN) to repair raw, misclassified Compton camera triple-scatter prompt gamma interactions in phantom patient experimental data and generated 1-D and 2-D reconstructions of the proton beam using simple back projection (SBP) and kernel-exp

PythonLinuxSlurm Workload ManagerMachine LearningData AnalysisData VisualizationPyTorch

Overview

Applied a machine learning model (fully convolutional network; FCN) to repair raw, misclassified Compton camera triple-scatter prompt gamma interactions in phantom patient experimental data and generated 1-D and 2-D reconstructions of the proton beam using simple back projection (SBP) and kernel-expectation maximization (KEM) algorithms.

Experimental prompt gamma scatter classification and reorientation for proton beam image reconstruction

What I've accomplished

Implemented a reorientation Python script to account for differences in camera orientation between training and testing of the machine learning model.

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Lafayette College Virtual Maze

Continuing the development and troubleshooting of an online maze game in Godot used to screen children for dyslexia risk by supporting game design, data collection workflows, and testing user experience. Also supported the development of Python scripts to streamline post-processing of data for analy

GodotData AnalysisGoogle ColabData SciencePythonData Analytics

Overview

Continuing the development and troubleshooting of an online maze game in Godot used to screen children for dyslexia risk by supporting game design, data collection workflows, and testing user experience. Also supported the development of Python scripts to streamline post-processing of data for analysis.

Lafayette College Virtual Maze
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✅ Verified by Extern · ⏱️ In progress

TruBridge Healthcare Data Analytics Externship

A healthcare data analytics externship with TruBridge focused on analyzing public health datasets and building dashboards for infection tracking and outcome trends.

Data AnalysisData VisualizationData Storytelling

Overview

The externship worked with large public healthcare datasets to explore patterns in infections and clinical outcomes. Tasks included statistical and correlational analysis, data cleaning, and building interactive visualizations. The work produced dashboards and analyses that documented observed trends in the supplied datasets.

 TruBridge Healthcare Data Analytics Externship

What I've accomplished

I translated raw public-health data into cleaned datasets, statistical summaries, and interactive dashboards, then documented the analytical choices and limitations for each deliverable.

Project breakdown

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