Hi there,

I'm Mian, a senior Applied Math undergraduate from UC Berkeley. I am taking 
abstract algebra and really interested in it, so I hope to apply for the 
project about "Group Theory". 

I have 2 years python programming experience, and also know Java, R and 
basic Matlab. I involved in applied machine learning projects related to 
healthcare(mammography classification, medical text classification), 
multi-media (cross-modal retrieval) and business analytics. Thus I am 
familiar with numpy, scipy, sklearn and some basic usage of 
PyTorch/Tensorflow. I also heavily use Jupyter notebook. I am happy and 
open to talk about them if anyone share similar interests in applied ML.

I got interested in learning and contributing more about mathematics 
softwares from using Sage and Matlab in my cryptography and numerical 
analysis class. They both served as powerful tools to support my math 
study! Thus I want to be part of the community, specifically to help in 
"Group Theory" project as I am very fascinated by my abstract course 
materials. 

By the summer, I will have taken linear and abstract, real and complex 
analysis as well as numerical analysis courses from Berkeley upper-division 
math curriculum. I also took cryptography. I will attach the textbooks we 
used at bottom.

My summer would be either in U.S or Asia.

Books we used:
- A First Course in Abstract Algebra, 7th Edition, by John B. Fraleigh
- Elementary Analysis, by Kenneth A. Ross
- Complex variables and applications, by James Brown and Ruel Churchill
- Numerical Analysis, by R. L. Burden and J. D. Faires,
- Linear Algebra, by Stephen H. Friedberg, Arnold J. Insel, Lawrence E. 
Spence

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