Masters of Science in Data Science
Hello world!
This github will host my primary projects I (and my team/classmates) have completed throughout my Masters of Science in Data Science program at SMU.
Previously I was a molecular biologist and lab manager for several academic, state, and federal labs. My frequent use of critical analysis for conducting experiments and troubleshooting problems in molecular biology have helped my transition into my new career. The program at SMU has given me experience in statistical and machine learning model creation in Python, R, and SAS. I'm also continuing to obtain deeper understanding of the topics I've covered in the program through other textbooks and various resources online. I'm currently most interested in machine learning algorithms and how I can implement them for business needs and potential future academic papers in the future.
I'm also actively seeking employment as an entry level data scientist! If at all interested in contacting me, please message me through LinkedIn.
My classes per semester:
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Fall 2019 - Capstone B
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Summer 2019 - Natural Language Processing, Capstone A
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Spring 2019 - Machine Learning, Quantifying the World
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Fall 2018 - Data Mining: An Introduction to Data Mining and Related Topics, Visualization of Information
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Summer 2018 - Applied Statistics: Inference and Modeling, Data and Network Security, File Organization and Database Management
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Spring 2018 - Statistical Foundations for Data Science, Doing Data Science
My citations and links to my previous publications while at the University of Texas at Austin:
Burke, J. M., Bass, C. R., Kincaid, R. P., & Sullivan, C. S. (2014). Identification of tri-phosphatase activity in the biogenesis of retroviral microRNAs and RNAP III-generated shRNAs. Nucleic acids research, 42(22), 13949-62.
Burke, J. M., Bass, C. R., Kincaid, R. P., Ulug, E.T., & Sullivan, C. S. (2018). The Murine Polyomavirus MicroRNA Locus Is Required To Promote Viruria during the Acute Phase of Infection. Journal of Virology. 92(16), e02131-17.