Data Scientist, Educator, Consultant.

Workshops and consultations available 2024-2025!


I can help you clean, visualize, and analyze your data or teach you how to do this work on your own!

Data Management

Quantitative and qualitative data gathering, cleaning and reshaping. Nuanced handling of missing data.

Data Analysis

Exploratory data analysis, statistical, network, and natural language analysis. Data visualization.


Math, data analysis & data visualization instructor with 20 years of experience with novice to advanced learners.


Ashley R. Sanders is a multidisciplinary research scientist. She is currently Vice Chair of the Digital Humanities Program at UCLA. She holds a Ph.D. in History with a specialization in Digital Humanities and a B.S. in Mathematics and History. Her research employs both archival research and computational methods to explore issues of gender, religion, indigeneity, and kinship.  

Her first book, Visualizing History’s Fragments: A Computational Approach to Humanistic Research will be available spring 2024 from Palgrave Macmillan Press. Additional publications include “Silent No More: Women as Significant Political Intermediaries in Ottoman Algeria” (Current Research in Digital History, 2020), “Building a DIY Community of Practice,” in People, Practice, Power: Digital Humanities outside the Center (December 2021), and a maturity framework for DH centers.

Ashley has also been awarded $250,000 funding as part of the National Endowment for the HumanitiesInstitutes for Advanced Topics in the Digital Humanities Program (2023) in collaboration with Co-PI, Jessica Otis (George Mason University) for their project entitled, “The Mathematical Humanists.” The grant will fund a series of in-person, online, and asynchronous professional development workshops to be hosted by George Mason University and the University of California, Los Angeles, on statistics, graphs and networks, linear algebra, and discrete mathematics methods that inform computational humanities methodologies such as network analysis, and text mining and analysis.

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