Teaching

Graduate Student Instructor for Microfabrication Technology (EE 143) - University of California, Berkeley (08/2021 -- 12/2021)
  • This course introduces integrated circuit device fabrication and surface micromachining technology including thermal oxidation, ion implantation, impurity diffusion, film deposition, expitaxy, lithography, etching, contacts and interconnections, and process integration issues. Device design and mask layout, relation between physical structure and electrical/mechanical performance are also discussed. MOS transistors and poly-Si surface microstructures will be fabricated in the laboratory and evaluated.
  • Led lab sessions designed to give students hands-on experience with IC device fabrication technologies including lithography, etching, thermal oxidation, ion implantation, dopant drive-in, thin film deposition, etc. The students finish with fully functioning microchips.
  • Trained students on semiconductor metrology including characterization of IC and Micro-electro-mechanical systems (MEMS) devices.
Graduate Student Instructor for Data-X: Applied Data Science with Venture Applications (INDENG 135/290) - University of California, Berkeley (01/2021 -- 05/2021)
  • This course surveys concepts and tools for designing and building data science, AI, and Machine Learning applications and systems. The mathematical concepts highlighted in this course include filtering, prediction, classification, decision-making, LTI systems, spectral analysis, and frameworks for learning from data. Each math concept is linked to implementation using Python libraries like NumPy for math array functions, Pandas for manipulation of tables, Scikit-learn for machine learning modeling, Tensorflow and Keras for deep learning, and many other topics related to NLP, Neural Networks, Recommender Systems etc.
  • Designed programming/software assignments on data science topics including Regression, Classification, Time Series, Neural Network, Convolutional Neural Network (CNN), Natural Language Processing (NLP) and Tableau.
  • Gave lectures to 170 students on data science and machine learning related topics.
  • Mentored 11 groups of students on projects involving real-world data science applications by offering weekly group meetings, office hours and code reviews.
Grader for Structure of Materials (MSE 350) - University of Michigan (09/2016 -- 12/2016)
  • This course introduces structures, bondings, microstructures of materials, and how they are influenced by thermodynamics and kinetics.
Teaching Assistant for Applied Calculus II (MATH 156) — Shanghai Jiao Tong University (09/2014 -- 12/2014)
  • This course introduces basic calculus concepts, including sequences and convergence; functions and continuity; the derivative and applications; the Riemann integral; applications of integration; series and power series.