Teaching Portfolio & Syllabi
Teaching Philosophy & Methodology
My approach to education is rooted in a deep-seated familial legacy of educators. Witnessing my mother’s dedication as an elementary teacher and the stories of my grandfather’s classroom mastery instilled in me the conviction that teaching is more than the transfer of knowledge; it is the building of confidence in high-stakes, rigorous computational disciplines.
Live Coding & Debugging
Demonstrating real-time debugging to prove compiler errors are diagnostic learning moments rather than failures.
Research-Teaching Synergy
Using authentic open-source datasets and biomedical knowledge graph challenges instead of sterile toy exercises.
Guild-Based Mentorship
Pair programming, peer code reviews, and HyFlex accessibility for local and remote working students.
Teaching Evaluations Across Institutions
4.75 / 5.0
The University of Texas at Austin
Instructor (Computer Vision & ML)
4.50 / 5.0
Southern Arkansas University
Instructor (CS II, Databases, Unix)
4.20 / 5.0
Texas Woman's University
Instructor (Data Science, Informatics, HPC)
Courses Taught & Official Syllabi
Texas Woman's University (2023 – Present)
Data Warehousing
CSCI 4513 / 5803
Statistical Programming
CSCI 5663
Programming for Informatics
CSCI 5001
Big Data & High-Performance Computing
CSCI 4623 / Principles of Data Mining (CSCI 4823)
Southern Arkansas University (2023)
The University of Texas at Austin (2018 – 2020)
Fundamentals of Computer Vision & ML
Primary Instructor (Summer 2018, 2019)
Graduate Teaching Assistant:
• INF 385T Artificial Intelligence in Healthcare
• INF 385T Data Semantics & Human-AI Interaction
• INF 385T Virtual Environments & Information Architecture
• INF 385T Data Semantics & Human-AI Interaction
• INF 385T Virtual Environments & Information Architecture