Muntaha Khalid

Guided a diverse group of students through Stanford’s global Python course, integrating programming with problem-solving skills. Led weekly interactive sessions, explained core computational concepts, and provided individualized feedback—demonstrating a strong foundation in teaching technical subjects with clarity and engagement.

• Temporarily taught undergraduate math courses during Ph.D. studies. Delivered lectures, created assessments, and evaluated student progress. Provided clear explanations and personalized feedback to support academic growth.

• Specialized in soliton theory and stochastic partial differential equations, applying advanced integration methods.
• Published research in Optical and Quantum Electronics: "Traveling Wave Solutions for Stochastic Manakov Model through Some Innovative Integration Architectures", contributing to mathematical modeling and computational analysis.

• Completed a 3-month course covering data analysis and AI applications, gaining hands-on experience with Python and industry-relevant tools.

• Conducted lessons, managed classrooms, and applied effective teaching strategies during a one-month internship.