👋 Hi there! I’m a graduate student pursuing an M.S. in Materials Science and Engineering (MSE) with a strong interdisciplinary background in Chemistry, Mathematics, and Data Science. My areas of interest are semiconductors, failure analysis, reliability engineering, materials informatics, additive manufacturing, and quality control—particularly as they relate to high-performance and sustainable materials.

I’m passionate about using data-driven methods and my prior educational background to solve real-world problems in MSE. I’m currently honing my technical skills with tools such as Python and SQL, while building a professional portfolio of multidisciplinary projects.

My long-term goal is to contribute to high-impact research and innovation in additive manufacturing, semiconductor engineering, or renewable energy technologies. I’m especially interested in how data science can intersect with MSE to innovate new materials and accelerate MSE research.

📫 I’m always eager to connect with researchers, professionals, and organizations in materials science, data science, and technological innovation to exchange ideas and spark collaborations that drive growth and meaningful impact.

• Project #1: Semiconductor Yield & Defect Prioritization System

  • Developing an automated yield-recovery decision system for semiconductor manufacturing by prioritizing defect mechanisms using Python, SQL, SPC, and scenario analysis.

• Project #2: Reliability-Driven Operating Window Optimization

  • Building a reliability-based operating-limit optimization framework using Weibull and stress-life modeling to reduce early-life failure risk in electronic materials and components.

• Project #3: DOE-Based Process Optimization Framework

  • Designing a cost-efficient experimental-design platform (DOE/RSM) to identify dominant process drivers and define robust manufacturing windows for advanced materials processing.

• Project #4: Manufacturing Process Drift Early-Warning System

  • Implementing a proactive SPC-driven process-drift detection system to enable early intervention and prevent yield degradation in high-volume manufacturing environments.

• MATLAB (Re-learning)

  • Programs and courses planned or in progress
    • AI-Assisted MATLAB on Coursera (Vanderbilt University)
    • Introduction to MATLAB for Engineers and Scientists on Coursera (Vanderbilt University)
    • Practical Data Science with MATLAB Coursera Specialization (MathWorks)

• JMP Statistical Software

  • Programs and courses planned or in progress
    • Statistical Thinking and Industrial Problem Solving course on Coursera (JMP)
    • Design of Experiments Coursera Specialization (Arizona State University)
    • Statistical Process Control Course on the JMP website

• Python (Upskilling & Review)

• SQL (Upskilling & Review)

• Tableau (Upskilling & Review)

• Power BI (Upskilling & Review)

• I am a triplet (fraternal).
• I have been to every national park in Arizona, California (except Channel Islands), Nevada, New Mexico, South Dakota, Utah, and Wyoming.