UPDATE: I am devoting myself full time to course development and startup work! And will be tutoring (to help cover living expenses). I have 5 semesters of TA experience in Complex Variables, Multivariable Calculus, Calculus 1, and Markov Processes, Queues, and Monte Carlo Simulation at the University of Colorado Boulder Department of Applied Mathematics, all with excellent student reviews. In addition, I passed all PhD course requirements, doing especially well in Markov Processes, Mathemati... [more]
I have 5 semesters of TA experience at CU Boulder, where I taught recitations for Calculus 3, held homework help sessions for Complex Variables, and held office hours for Markov Processes. I have a solid foundation in mathematics through the undergraduate level.
I passed my probability/statistics prelim and graduated with my MS Applied Mathematics from the University of Colorado Boulder in 2016.
I passed my probability/statistics prelim and graduated with my MS Applied Mathematics from the University of Colorado Boulder in 2016. My research was in Markov Chains and genomics, and I was a TA for Markov Processes, Queues, and Monte Carlo Simulation.
I graduated from BoHua Chinese School in 2008, studied abroad in China at Peking University (Spring 2010) and Tsinghua University (Fall 2011), and took Mathematical Analysis with the Chinese students (earning GPAs of 3.25 and 3.83). I am fluent in English and Chinese reading, speaking, and writing. I enjoy reading Chinese classical works, traveling in China and the US, and keeping up with the latest technology and social media of both.
As an undergraduate in applied mathematics/physics, I used MATLAB in various classes and projects: GEEN 1300 Intro to Engineering Computing, APPM 2360 Differential Equations, APPM 3010 Intro to Nonlinear Dynamics and Chaos, Peking University Mathematical Modeling, APPM 4650 Numerical Analysis 1, PHYS 4230 Thermodynamics and Statistical Mechanics, APPM 4350 Fourier Series/Boundary Value Problems, and APPM 4840 Independent Study simulating the Shallow Water Equations. As a graduate student at CU Boulder/BioFrontiers, I used MATLAB for mathematical biology research simulating differential equations modeling PINK1-Parkin mass action dynamics, as well as a class project simulating differential equations and performing image processing for MAPK signaling pathway experiments. I am an expert scripter and debugger.
As a graduate student at CU Boulder/BioFrontiers, I applied Python in my research simulating, calibrating, and making predictions based on real data for a Markov Chain model of CRISPR-Cas9 genome modification. I also debugged and applied Gabriel Krummenacher's Fast Johnson Lindenstrauss Transform (FJLT) code on Github for a music genre classification project. I am well-versed in the standard Python libraries numpy, math, matplotlib, and scipy as well as sklearn, openpyyxl, pandas, and statsmodels. I am an expert scripter and debugger.