ABOUT ME
I've long been captivated by puzzles.
From sending complex trad climbing routes to the applications of statistical modeling, I’m constantly seeking elegant solutions to complex problems. During my undergraduate years I was drawn to biomedical research and the challenge of using basic scientific research to contribute to solving human issues like aging, stress, and disease. However, through the course of my lab work I realized that to solve for any of these questions I would need a firm grasp of two things: programming and statistics.
Since then, my focus has been expanding my analytical skill set through the addition of computer science and math classes in my studies. In 2016, I was accepted into the Bioinformatics and Genomics graduate program at the University of Oregon, which emphasizes the statistical analysis of genetic sequence data. Thanks to this education, I now work as a remote Data Scientist in the lab of Dr. Peter Baumann at the Stowers Institute for Medical Research. This position requires me write Python, R, and bash scripts and implement them in conjunction with existing software tools to answer biological questions. Through this data analysis, I generate informative data driven visualizations, like those listed in my portfolio.
Moving forward...
Working in the biomedical research field has been a fantastic opportunity, but I am now looking to apply my analytical skillset to problems based in the business and technology sectors. I thrive in team environments where challenging analytical problems require me to constantly collaborate, learn, and think about problems from different angles. I’m excited about opportunities that allow me to use my computer science and statistical background to solve complex problems with direct implications for users and customers.
Have an analytical problem you need help solving?
Let’s talk – coffee's on me.
I'm really good at:
Python
SQL
Statistics
R
Data Visualization
Data Modeling
Git/Github
Cloud/Remote Computing
