Instructor Bios

Brown Biggers
Brown Biggers is a Server Administrator for UNC Greensboro University Libraries. In this capacity, he performs support and training for hosted solutions and applications. He enjoys programming, design, woodworking, and keeping his two dogs from eating the couch. He is a VMWare Certified Professional (VCP5-DCV), and was recently named Library Journal’s Paralibrarian of the Year 2016.

Alison Blaine
Alison Blaine is an Integrated Learning Librarian at the Learning Spaces & Services Department at D.H. Hill Library at North Carolina State University. Her areas of expertise are curriculum support for data visualization and virtual reality, data visualization, and immersive technologies.

Lorin Bruckner
Lorin has been the Data Visualization Services Librarian in Digital Research Services at Davis Library, UNC-Chapel Hill since 2016. Before working at the University Library, she was employed for 10 years as a web designer and creative director. Bruckner has an MS in Information Science from the University of Illinois Urbana-Champaign. Her other interests include text mining and natural language processing.

Jason Carter
Jason Carter is an IT Engineer with Cisco Systems. He develops machine learning systems to improve the corporate content experience. He also works collaboratively with a distributed team of software developers. As adjunct faculty, he teaches students how to think logically and analytically, how to program using Python, and how to design database systems.

Din Chen
Ding-Geng (Din) Chen is the Wallace H. Kuralt Distinguished Professor and director of the Consortium for Statistical Development and Consultation (CSDC) in the School of Social Work, and is jointly appointed as a clinical professor in the Department of Biostatistics at the UNC-Chapel Hill Gillings School of Global Health. He is an elected fellow of American Statistical Association. As a professor in biostatistics, he is interested in developing biostatistical methodologies in clinical trials, meta-analysis, Bayesian statistics and their applications to public health. As a professor in social work, he is interested in developing Bayesian social and health intervention research, cusp catastrophe modelling, statistical causal inferences, propensity score and structural-equation models (SEM). He is PI/Co-PI for several NIH R01 research projects in biostatistical methodology development and public health applications.

Jonathan Duggins
Jonathan Duggins is a Teaching Assistant Professor and Coordinator of the Undergraduate Professional Partnership Program in the Department of Statistics at North Carolina State University. He has worked in industry as a biostatistician for several contract research organizations and has taught at multiple universities. Jonathan has always been dedicated to education and that is his main role at NCSU where he teaches undergraduate and graduate courses with an emphasis on statistical programming languages in both face-to-face and distance education courses.

Ashok Krishnamurthy
Ashok Krishnamurthy is the Deputy Director at RENCI and an Adjunct Professor of Computer Science at the University of North Carolina, Chapel Hill. Before coming to RENCI, he was a faculty member in the Electrical and Computer Engineering department at The Ohio State University.. Ashok’s research and expertise is in digital signal and image processing, data science and high performance computing. He has many years of experience exploring data from acoustics, biomedical images and radar. Of late, he has been working with data from Electronic Health Records, commercial and Medicare claims data, and workflow data as experts complete a task. He likes programming in MATLAB and R.

Eric Monson
Eric Monson is a data visualization analyst at Duke University Data and Visualization Services. His training is in experimental biophysics, but since 2007 he has been collaborating with investigators from applied math, computational immunology, and art history doing data gathering, organization, analysis, and visualization. Since the beginning of 2012 he has been increasingly focused on trying to help humanities scholars incorporate technology into their research so they can think about and view their data in new ways.

Justin Post
Justin Post is a Teaching Assistant Professor and the Director of Undergraduate Research in the Department of Statistics at North Carolina State University. Teaching has always been his passion and that is his main role at NCSU. He teaches undergraduate and graduate courses – including both traditional classes and online courses. Justin is also involved in sports analytics and is an R enthusiast.

Bill Shi
Bill Shi is a data scientist at the Odum Institute at UNC-Chapel Hill. With an interdisciplinary background at the intersection of math, statistics, and social science, his research areas include complex networks, computational social science, and data science. He has been developing mathematical models and tools for the representation, analysis, and inference of networks from real complex systems, with applications in areas such as social networks, epidemics, biomedical science, and materials. His work has been published in both domain-specific and interdisciplinary journals, and has also received coverage from widely circulated journals and news outlets, including Nature, The Guardian, the Los Angeles Times, and VICE. He is co-leading the center for Social Network Analysis at Carolina (SNAC) at UNC.

Raju Vatsavai
Raju Vatsavai is a Chancellor’s Faculty Excellence Program Cluster Associate Professor in geospatial analytics in the North Carolina State University Computer Science Department. He works at the intersection of spatial and temporal big data management, analytics, and high performance computing, with applications in national security, geospatial intelligence, natural resources, climate change, location-based services, and human terrain mapping. As Associate Director of the Center for Geospatial Analytics, Raju sets the center’s strategic vision for spatial computing research. Previously, Raju was lead data scientist for the Computational Sciences and Engineering Division at Oak Ridge National Laboratory. He has more than 25 years of experience in the field and has edited two books on “Knowledge Discovery from Sensor Data.” He holds MS and PhD degrees in computer science from the University of Minnesota.

Markus Wust
Markus Wust is the Digital Research and Scholarship Librarian at North Carolina State University Libraries where he works with faculty and students to integrate digital tools and services into research, teaching, and learning. He also serves as collection manager for several disciplines in the humanities. Wust holds an MA in German Literature (University of Georgia), an MA in Humanities Computing and an MLIS (Library and Information Studies), both from the University of Alberta.

Angela Zoss
Angela Zoss began work as Duke University’s first Data Visualization Coordinator in the summer of 2012. While helping to develop this new position at Duke, she has created new library workshops on visualization; hosted an annual student data visualization contest; consulted with students, researchers, and faculty members on research projects; and helped to introduce visualization concepts and tools into several undergraduate and graduate courses. She co-organizes a weekly talk series on visualization topics and is collaborating within and outside the Duke community to improve instructional and technical support for visualization projects. She holds a Master of Science in Communication from Cornell University and is pursuing a doctorate in Information Science from Indiana University, where she taught a semester-long graduate course in Information Visualization. Her research interests include scientometrics, network analysis, computational linguistics, and literacy issues surrounding information visualization.