Teaching

Assistant Professor

Taught core concepts of data science including statistical inference, data preprocessing, feature engineering, machine learning workflows, and real-world analytical problem solving. Designed assignments and projects using Python, pandas, scikit-learn, and visualization tools to help students develop practical, industry-ready skills.

Assistant Professor

Delivered coursework on quantum computation principles including qubits, superposition, entanglement, and quantum gates. Introduced students to quantum algorithms, along with hands-on experimentation using Qiskit and cloud-based quantum simulators.