This cover letter is in regard to the Macalester-Howard Hughes Medical Institute Minnesota Department of Health, Injury and Violence Prevention Unit (IVPU) Summer Research Position. This position excites me because it would help me connect my study in applied math and data science with my long-term interest in epidemiology. My qualifications for this position start with my passion in research about epidemiology. Living in a family of physicians, I became interested on epidemiology in my childhood. When horrible diseases surfaced, my father would have to serve as the head of the disease control group and I was always curious to know about the causes, effects and the spread of the disease. Last year, I participated in a mini mathematics modeling activity on the spread of HIV and syphilis. I learned
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I have completed the introduction statistics class and several upper-level mathematics classes. I am a fluent user of R programming language, Mathematica, Python and MS office suite for data processing and management. I also self-studied SQL and Java during high school. I possess the quantitative research skill as I have conducted several quantitative researches in different fields such as Economics and Geography. My recent independent research project on the housing price of Ames, IA, utilized some sophisticated machine learning techniques such as Lasso Regression and Random Forest Regression. In that project, I dealt with a huge data set with more than 1500 cases and 82 variables. I implemented some dimension reduction techniques to find out the most useful variables. After picking up all relevant variables, I eliminated some outliers using graphs and finally found the relationship between house price and those explanatory variables. The project was very complicated but it helped deepen my knowledge on statistical
I have completed the introduction statistics class and several upper-level mathematics classes. I am a fluent user of R programming language, Mathematica, Python and MS office suite for data processing and management. I also self-studied SQL and Java during high school. I possess the quantitative research skill as I have conducted several quantitative researches in different fields such as Economics and Geography. My recent independent research project on the housing price of Ames, IA, utilized some sophisticated machine learning techniques such as Lasso Regression and Random Forest Regression. In that project, I dealt with a huge data set with more than 1500 cases and 82 variables. I implemented some dimension reduction techniques to find out the most useful variables. After picking up all relevant variables, I eliminated some outliers using graphs and finally found the relationship between house price and those explanatory variables. The project was very complicated but it helped deepen my knowledge on statistical