Teaching

Guest Instructor, HRT 841: Plants and Python



Fall 2020, Michigan State University, East Lansing, Michigan
Link to the course page      Link to the course book  
This is a graduate level course that introduces students to data analysis, algorithmic thinking, model building, bioinformatics, and molecular biology using coding and computational resources. It selects specific examples in which mathematical, modeling, and bioinformatic approaches intersect with the biology of plants. Students apply learned objectives to a course research project.


Teaching Assistant, CS 6170: Computational Topology



Spring 2017, School of Computing, University of Utah, Salt Lake City, Utah
Link to the course page  
This was a graduate level course intended to familiarize students with Topological Data Analysis (TDA). In this course we covered basic comcepts, data structures and algorithms commonly used in TDA, Including homology, persistent homology, and mapper. Students learned about the various tools and their applications in machine learning, statistical analysis, and visualization.


Teaching Assistant, CS 6210: Advanced Scientific Computing



Fall 2016, School of Computing, University of Utah, Salt Lake City, Utah
Link to the course page  
This was a graduate level course intended to give students exposure to the algorithms and implementations often used in scientific computing. In this course, we touched upon topics such as: computational linear algebra, eigenvalues and singular values, nonlinear systems and optimization, interpolation and approximation, numerical integration and differentiation.