Teaching & Coursework
Courses taught as TA at Cornell and curated coursework across chemistry, biology, and computer science.
6 Courses Taught 4+ Years TA Experience 37+ Courses Taken
Teaching
Courses Taught
Nucleic Acid Engineering BEE 7600
Molecular and Cellular Bioengineering BEE 5600/3600
Principles of Biological Engineering BEE 2600
Introduction to Biological Engineering ENGRI 1337
Engineering Professionalism ENGRG 5330
Watershed Engineering BEE 5730/4730
- ✓ Course instruction and lab support. Assisted faculty across 6 courses in bio-design, molecular and cellular engineering, watershed systems, engineering professionalism, and sustainable development; prepared recitation slides, demonstrated laboratory procedures, and managed course materials on Canvas.
- ✓ AI-driven teaching and curriculum development. Delivered guest lectures across courses to train students in leveraging AI for learning and research, while integrating AI tools into assignments, review sessions and data analysis.
Coursework
Chemistry & Material
- • General Chemistry
- • Organic Chemistry
- • Analytical Chemistry
- • Analytical Chemistry Laboratory
- • Organic Chemistry Laboratory
- • Instrumental Analysis
- • Instrumental Analysis Laboratory
- • Physical Chemistry
- • Inorganic Chemistry
- • Inorganic Chemistry Laboratory
- • Physical Chemistry Laboratory
- • Biochemistry
- • Integrated Chemistry Laboratory
- • Advanced Materials
- • Nanomaterials: Chemistry and Physics
- • Principles of Chemical Biology
- • Fundamental Principles of Polymer Chemistry
- • Polymer Mechanics
- • Interface and Surface Phenomena
- • Materials Structure and Mechanical Properties
- • Chemistry of Materials
- • Solid-State Chemistry
- • Advanced X-Ray Characterization
Biology & Bioengineering
- • Nucleic Acid Engineering
- • Molecular and Cellular Bioengineering
- • Principles of Biological Engineering
- • Advanced Topics in Biomaterials
- • Principles of Biochemistry: Molecular Biology
- • Biophysical Methods
AI & Computer Science
- • Essence of Computing
- • Computer Organization
- • Object-Oriented Programming
- • Data Structures and Algorithms
- • Data Communications and Networking
- • Machine Learning
- • Numerical Methods for Data Science
- • AI for Science