CDVS Data Chat
The Center for Data and Visualization Sciences consultants can help with a variety of data projects and related computing problems. We are available weekdays by appointment or according to our walk-in schedule.
Learn more about our areas of expertise below:
Joel HerndonDirector, Center for Data and Visualization Sciences
I am the Director of the Center for Data and Visualization Sciences and act as a liaison with other data groups at Duke and beyond. Additionally, I serve on the management team of Duke Libraries' digital scholarship space: The Edge: The Ruppert Commons for Research, Technology, and Collaboration. My recent research focuses on how universities and research libraries are responding to a growing demand for data science services and training.
Mark ThomasLibrarian for Economics and GIS and Map Specialist
Location: 226 Bostock
Expertise: Software (ArcGIS, QGIS, Excel, online mapping tools), economic literature, data sources (all formats), maps
I have been working in the Center for Data and Visualization Sciences since its inception in 2007 and currently serve as the subject librarian for economics and business, geographic information systems (GIS), geography, maps and U.S. federal government documents. I began working at Perkins Library in 1996, and from 1990-1996, I worked as a librarian specializing in government documents and maps at Texas A&M University. I earned a Master of Library and Information Science at the University of Texas at Austin and a B.A. in Economics from Rice University.
Drew KeenerGIS Specialist
Location: 226 Bostock
Expertise: Web mapping applications, spatial data analysis, map design, GIS software (ArcGIS Pro and QGIS), Tableau, R.
John LittleData Science Librarian
Expertise: data science, R, RStudio, Tidyverse, data engineering, data cleaning, data wrangling, data normalization (i.e. data janitor); regular expressions, web scraping
My current interests are using R, RStudio and the Tidyverse in a practical data science context. Additionally I help people manage data projects from gathering to cleaning, analysis to visualization; helping library users implement new data tools; assist the data-curious explore practical data science solutions. I have a B.A in Sociology with concentrations in Computer Science and Political Science from the University of North Carolina at Greensboro, and a Master of Library and Information Science from the University of North Carolina at Chapel Hill.
Eric MonsonData Visualization Analyst
Expertise: Software (Tableau, Python, Adobe Illustrator, Gephi, Git, Matlab, ParaView), broad range of scientific and humanities data and visualization, NoSQL databases, regular expressions, text analysis.
As the Data Visualization Analyst, I help students, faculty and staff with data visualization, organization, and processing for their research. My background is in the experimental sciences, where a PhD in Applied Physics led me to work on fluorescence microscopy, chemical nanosensors, and neuron-glial brain cell signaling. From 2007 until I joined CDVS in 2015, I worked as a Research Scientist here at Duke, collaborating with faculty and graduate students from Math to Computational Biology to Art History, helping them visualize and understand their data. In my current position, I enjoy introducing people to important skills they need but were never trained in, whether that means teaching visual design and communication to Scientists, or helping Humanists incorporate technology into their scholarship.
Jen DarraghResearch Data Management Consultant
Location: 226 Bostock
Expertise: Software (REDCap, Sharepoint, Open Science Framework (OSF), Piktochart), data management workflows, behavioral, social science and health data resources, restricted-use data acquisition, sensitive data management and data security.
I began working in the Center for Data and Visualization Sciences in 2017. My goal is to provide guidance and assistance to Duke researchers from all disciplines in managing their research data. Research data can be anything from spreadsheets, digital surrogates of primary resources, AV files, to compl
Sophia Lafferty-HessResearch Data Management Consultant
Location: 226 Bostock
Expertise: Software (Open Science Framework (OSF), Dataverse), data management, data sharing, data curation, digital preservation
I began working in the Center for Data and Visualization Sciences in 2017. I specialize in data management best practices including organizing data, documenting data, citing data, and archiving and sharing data. I have a background working in a social science data archive where I curated data for long-term preservation and reuse. I earned a BA in History and Classical Studies from the University of Arkansas and earned a Master of Science of Information Science and Master of Public Administration from the University of North Carolina at Chapel Hill.
Our Economics Data Interns are current graduate students in the Duke Economics Department, and specialize especially with questions involving statistical software and econometric analysis.
Hongyi DuanEconomics Data Intern
Expertise: Software (Stata, R, Python); data analysis; econometrics; international data sources.
I am a first-year M.S. in Economics student at Duke, previously receiving a bachelor’s degree from Cornell in Economics and Mathematics. I have a working knowledge of Stata, R, and Python, and a basic knowledge of MATLAB. Additionally, I have experience working with international data sources such as CHARLS, the China Health and Retirement Longitudinal Study.
Shining YangEconomics Data Intern
Expertise: Software (Stata, Python, SQL), census data, survey data, statistical modeling, data visualization, econometrics
I am currently a first-year M.A. Economics student at Duke University. I am comfortable coding in Stata and Python, and my work is usually related to data wrangling, reshaping, merging, analysis, and econometrics/economic applications. I have basic knowledge of SQL and also have experience working with census data, survey data and spatial data. I earned a Bachelor of Science degree in Economics and graduated with distinction from Jinan University.
Julian SauvageEconomics Data Intern
Expertise: Software (Stata, Python, R, LaTeX, Qualtrics), data wrangling, data analysis, econometrics, social science research design
I am a second-year Masters student in Duke's M.A. in Analytical Political Economy (MAPE) program. Prior to coming to Duke, I majored in Economics and Political Science at Virginia Tech. I am proficient at data cleaning, reshaping, and analysis with Stata and Python, and have a basic understanding of R/RStudio. In addition, I have experience designing research projects, collecting data online, and communicating results to both technical and non-technical audiences.