M.S. Biological Data Science @ ASU

Bridging Engineering, Bioinformatics, and Computational Science to solve complex real-world challenges.

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About Me

I’m pursuing my Master of Science in Biological Data Science at Arizona State University. With a background in Earth & Space Exploration, I combine interdisciplinary expertise in biology, engineering, and chemistry to tackle high-impact data analytics and systems engineering roles.

Technical Skills

Programming

Python (NumPy, Pandas, Scikit-learn), R (ggplot2), SQL, MATLAB, C/C++, Arduino IDE

Bioinformatics

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

Engineering

Siemens NX, AutoCAD, SolidWorks, MBSE, PLM, Thermal Analysis, GNC

Data Viz

Tableau, Power BI, ArcGIS, Seaborn, Matplotlib, Microsoft Excel

Featured Projects

HERA Project hardware

🌍 HERA Capstone: Aerobiology

Engineered a real-time system to collect microbes at 15 km altitude. Integrated C++ sensor controls for stratospheric balloon deployment.

C++ArduinoHardware
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🧬 NASA GeneLab Meta-Analysis

Meta-analysis of microgravity transcriptomics. Identified gene pathways affected by spaceflight to support astronaut health countermeasures.

RBioinformaticsPython
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🧪 OHSU Bioinformatics: Viral Co-infections

Utilized UseGalaxy and Machine Learning models to analyze microRNA expression in SARS-CoV-2 and Long COVID co-infections. Developed scalable genomic workflows and presented research at ABRCMS 2024.

UseGalaxyMachine LearningGenomicsSARS-CoV-2
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NASA L'SPACE PDR Title Slide
📄 PowerPoint File (Download Required)

🚀 NASA L'SPACE: Preliminary Design Review (PDR)

Lead Systems Engineer for a robotic mission concept. Managed the Preliminary Design Review (PDR), including subsystem integration and thermal analysis using Siemens NX. Following NASA’s formal proposal standards.

Systems EngineeringPDRSiemens NXAerospace
📥 Download PDR Presentation (.pptx)

🧠 Sleep & Mental Health: NHANES Analysis

Analyzed data from 6,652 U.S. adults to quantify the relationship between sleep duration, depressive symptoms, and self-rated health. Utilized ANOVA and linear regression to establish the link between healthy sleep patterns and mental well-being.

R / RStudioStatisticsNHANESPublic Health
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Contact

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