Masters Student in Biological Data Science @ ASU

Using engineering, biological, and computational skills to solve real-world challenges.

View My Work

About Me

I’m pursuing my Master of Science in Biological Data Science at Arizona State University. My research and projects focus on bioinformatics, environmental engineering, and data analytics. With a B.S. in Earth & Space Exploration, I aim to combine interdisciplinary work from biology, engineering, and chemistry to address future issues involving data analytics and help with engineering roles following my FE.

Skills

Programming

Python (NumPy, Pandas, Matplotlib, Seaborn), R (ggplot2), SQL, MATLAB, C/C++, Arduino IDE

Bioinformatics Tools

UseGalaxy, KBase, Machine Learning (Classification), Genomic Data Analysis, Transcriptomics

Data Analytics

Data Cleaning, Visualization, QA, Statistical Modeling, Environmental Modeling

Tools

Tableau, Power BI, ArcGIS, Microsoft Excel

Engineering & Simulation

Siemens NX, AutoCAD, SolidWorks, MBSE, PLM, Jira

Hardware

3D Printing, Soldering, Arduino, Power Tools

Domain Knowledge

Space Systems Design, Thermal Analysis, Heat Transfer, GNC

Soft Skills

Technical Writing, Scientific Presentation, Mentoring, Project Coordination

Projects

🌍 High Elevation Research in Aerobiology Capstone

HERA Project Slide Preview

Engineered a real-time system to collect and analyze microbes at 15 km altitude using Arduino sensors. Developed a C/C++ pipeline to synchronize external motors and environmental sensors for microbe capture under stratospheric conditions. Designed for high-altitude balloon deployment.

📄 View Full Presentation on Google Slides

🧪 OHSU Bioinformatics Internship – Genomic Data Analysis

Developed scalable workflows in UseGalaxy for analyzing microRNA expression and viral co-infections, including SARS-CoV-2 and long COVID. Mentored junior interns, applied machine learning models, and presented findings at ABRCMS 2024.

🔬 Tools: UseGalaxy, Python, R, Machine Learning (Classification)

🧬 NSURP Scholar – Meta-Analysis of Microgravity Transcriptomics

This project investigates how living systems—from C. elegans to rodents to human cell lines—respond at the molecular level to microgravity. Using a meta-analysis of transcriptomic datasets from NASA’s GeneLab, we aim to uncover conserved gene expression patterns and biological pathways affected by spaceflight. Through differential expression analysis, ortholog mapping, pathway enrichment, and network modeling, this work contributes to understanding the fundamental biological adaptations to microgravity and supports the development of targeted countermeasures for astronaut health during long-duration space missions.

📄 View Full Presentation on Google Slides

🚀 NASA L'SPACE Mission Concept – Lead Systems Engineer

Directed systems engineering for a robotic mission concept aligned with NASA proposal standards. Oversaw subsystem design, integration using Siemens NX, and led thermal control trade studies. Produced technical documentation and led formal design reviews with real-world deadlines.

🔗 Learn more about L'SPACE Academy

Contact Me

Let’s connect! Reach out via email, text, or LinkedIn.