Amelia McNamara
| Amelia McNamara | |
|---|---|
| Born | Minneapolis–St Paul |
| 🎓 Alma mater | |
| 💼 Occupation | |
| 🌐 Website | amelia |
Amelia Ahlers McNamara is an Assistant Professor of Computer and Information Sciences at the University of St. Thomas. McNamara is a statistician with an active research program in statistical computing, data visualization, statistics education, reproducibility, and spatial statistics. McNamara is known for her contributions to statistical computing surrounding the programming language R.[1] She was a major contributor to UCLA's Mobilize curriculum, which brought data science to thousands of students in the Los Angeles area. The program was piloted in 10 schools and introduced teachers and students to the programming language R and participatory sensing.[2][3][4]
Early life and education[edit]
McNamara grew up in Minneapolis–Saint Paul. During her first year at college she attended design school, before majoring in mathematics and English. She attended Macalester College, and was awarded the Konhauser Award for Mathematical Achievement in 2010. McNamara moved to University of California, Los Angeles for her graduate studies, and worked with Robert Gould and Fredrick Schoenberg on learning for statistics. She compared the tools that had been developed for teaching statistics (including TinkerPlots and Fathom: Dynamic Data Software) and those which are used for doing statistics (including R, SPSS and SAS).[5] As a graduate student, she developed a course on data visualisation, which included the work of Nathan Yau, William S. Cleveland, and Leland Wilkinson.[6]
Research and career[edit]
McNamara joined the Program in Statistical and Data Sciences at Smith College (one of the first data science programs in the country) as a Visiting Assistant Professor and MassMutual Faculty Fellow in 2015.[7][8] She served as a member of Y Combinator's Human Advancement Research Community.[9] In 2018, she joined the University of St. Thomas as an Assistant Professor of Computer and Information Sciences.[10] McNamara created an illustrated, interactive essay with her colleague Aran Lunzer to help people understand histograms which won a Kantar Information is Beautiful award.[11][12][13][14]
McNamara contributed to the creation of skimr; an R package to create compact and flexible data summaries.[15] Her paper, Wrangling Categorical Data with R[16], provided the inspiration for Hadley Wickham to write the forcats package.[17]
McNamara is involved with science communication and increasing public awareness of statistics.[18] She has worked with Nathan Yau on his data visualisation courses as well as leading her own courses in data communication and journalism.[19][20][21]
She was an invited speaker at Dagstuhl, a prestigious computer science seminar series.[22] Her work on dealing with categorical data using R has been covered in the O'Reilly Media book R for Data Science.[23] In 2019 McNamara was profiled by the American Statistical Association as one of the Top 20 Women working in statistics and data science.[24]
References[edit]
- ↑ "Amelia McNamara". resources.rstudio.com. Retrieved 2019-08-18.
- ↑ "Introduction to Data Science | High school statistics curriculum". www.mobilizingcs.org. Retrieved 2019-08-18.
- ↑ "Introduction to Data Science Curriculum v_5.0". Introduction to Data Science Curriculum v_5.0. Retrieved 2019-08-23.
- ↑ June 23, Harmohan Singh-; 2017 (2014-08-20). "Data Science courses in LAUSD High Schools | Mobilize | Data Science Los Angeles". DataScience.LA. Retrieved 2019-08-18.
- ↑ McNamara, Amelia Ahlers (2015). Bridging the Gap Between Tools for Learning and for Doing Statistics (Thesis). UCLA.
- ↑ McNamara, Amelia. "Amelia McNamara | Teaching | data visualization". www.amelia.mn. Retrieved 2019-08-18.
- ↑ Smith, Sophian (2019-03-14). "A look into Statistical and Data Sciences- One of Smith's newest and fastest growing majors". The Sophian. Archived from the original on 2019-03-14. Retrieved 2019-08-23.
- ↑ Ben-Zvi, D.; Makar, K.; Garfield, J. (2017). International Handbook of Research in Statistics Education. Springer International Handbooks of Education. Springer International Publishing. p. 456. ISBN 978-3-319-66195-7. Retrieved 2019-08-23. Search this book on
- ↑ "Amelia McNamara". HARC. Y Combinator. Retrieved 2019-08-20.
- ↑ "Faculty & Staff – Computer & Information Sciences – University of St. Thomas – Minnesota". www.stthomas.edu. Retrieved 2019-08-18.
- ↑ "Amelia McNamara". Amstat News. Retrieved 2019-08-18.
- ↑ McNamara, Aran Lunzer and Amelia. "Exploring Histograms". tinlizzie.org. Retrieved 2019-08-18.
- ↑ Yau, Nathan (2017-07-24). "An interactive to explain histograms, for normal people". FlowingData. Retrieved 2019-08-18.
- ↑ McNamara, Amelia. "Exploring Histograms". Information is Beautiful Awards. Retrieved 2019-08-23.
- ↑ Waring, Elin; Quinn, Michael; McNamara, Amelia; Rubia, Eduardo Arino de la; Zhu, Hao; Lowndes, Julia; Ellis, Shannon; McLeod, Hope; Wickham, Hadley (2019-06-20), skimr: Compact and Flexible Summaries of Data, retrieved 2019-08-21
- ↑ McNamara, Amelia; Horton, Nicholas J. (2018), "Wrangling Categorical Data in R", The American Statistician, 72 (1): 97–104, doi:10.1080/00031305.2017.1356375
- ↑ McNamara, Amelia (2019-01-17), Working with categorical data in R without losing your mind, retrieved 2019-08-21
- ↑ "Episode 27 - Special Guest Amelia McNamara from Not So Standard Deviations". www.stitcher.com. Retrieved 2019-08-18.
- ↑ "STAT7350". MicroStats Lab. Retrieved 2019-08-18.
- ↑ "Data Visualization for Population Research". Centre on Population Dynamics. Retrieved 2019-08-18.
- ↑ How spatial polygons shape our world - Amelia McNamara, retrieved 2019-08-18
- ↑ Wadern, Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 66687. "Schloss Dagstuhl : Seminar Homepage". www.dagstuhl.de. Retrieved 2019-08-21.
- ↑ Grolemund, Garrett; Wickham, Hadley. 15 Factors | R for Data Science. Search this book on
- ↑ "Celebrating Women in Statistics". Amstat News. Retrieved 2019-08-21.
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