Teaching
I currently teach at North Dakota State University. Formerly, I taught at Stony Brook University and the University of Michigan, where I was also the Director of the Lab of Geometry at Michigan, affectionately known as LoG(M).
Courses taught:
North Dakota State University
Math 129 (Basic Linear Algebra)
Math 440 (Axiomatic Geometry)
Math 473 (Cryptology)
University of Michigan
Math 115 (Calculus 1)
Math 217 (Linear Algebra)*
Math 490 (Introduction to Topology)*
Math 567 (Introduction to Coding Theory)*
Stony Brook University
Math 125 (Calculus A)
Math 127 (Calculus C)
Math 200 (Logic, Language, and Proof)
Math 312/AMS 351 (Applied Algebra)
The starred courses were taught wholly (Math 217 and Math 490) or partially (Math 567) in an Inquiry Based Learning format. "This learning method emphasizes discovery, analysis and investigation to deepen students' understanding of the material and its applications. Students learn through guided exploration with the help of experienced instructors." - The Center for Inquiry Based Learning at the University of Michigan
A randomly generated redistricting plan produced by the Winter 2021 LoG(M) "Gerrymandering and Visualization" team - Aelita Klausmeier, Christina Jiang, Henry Fleischmann, and Christina Greenfield
LoG(M)
LoG(M) is a semester-long mathematics research and computing experience for qualified undergraduates at the University of Michigan. Through our LoG(M) projects, we typically involve 15-20 undergraduates in research and visualization projects each semester working in teams of 3 or 4. LoG(M) projects are developed and mentored by various faculty and graduate students in the mathematics department at the University of Michigan. The topics of each project vary widely, but are unified by experimental methods that involve some visualization, computing, or examples, and are motivated by open questions in modern mathematics research. In addition to research, the students learn skills focused around coding and communicating technical ideas to diverse audiences that are transferable beyond academic research. LoG(M) is committed to helping to foster a diverse mathematical community and welcomes all students, especially historically underrepresented communities. In Fall 2021, the program achieved gender parity for the first time in program history.