Instructors

Alison Blaine

Alison Blaine is a Data Visualization Specialist, currently working at Red Hat, who loves the challenge of bringing data stories to life visually. Prior to her current role, she worked at NC State University and in the health insurance industry, where she specialized in consulting and teaching in the areas of data visualization and statistical computing. Alison has a special place in her heart for R and finds it to be a highly useful and versatile tool for working with data.

Jim Balhoff

Jim Balhoff is a Senior Research Scientist at RENCI at the University of North Carolina-Chapel Hill. Jim’s work focuses on applications of semantic technologies to facilitate biomedical data sharing and integration. He is an active contributor to the Open Biological Ontologies (OBO) Foundry and an avid Scala programmer.

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.

Jonathan Duggins

Jonathan Duggins is an award winning Associate Teaching 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 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.

Yufeng Liu

Yufeng Liu is currently a professor in the Department of Statistics and Operations Research, the Department of Biostatistics, and the Department of Genetics at UNC-Chapel Hill. His current research interests include statistical machine learning, high dimensional data analysis, personalized medicine, and bioinformatics. He has taught statistical machine learning courses multiple times at UNC, as well as short courses on this subject at Joint Statistical Meetings, ENAR, and Biostatistics Summer Institutes at the University of Washington. Dr. Liu received the CAREER Award from the National Science Foundation in 2008, the Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement in 2010, and the inaugural Leo Breiman Junior Award in 2017. He is currently an elected fellow in the American Statistical Association, the Institute of Mathematical Statistics (IMS), and an elected member of the International Statistical Institute.

Eric Monson

Eric Monson is a data visualization specialist with the Duke University Libraries’ Data and Visualization Services. Although his PhD is in Applied Physics, from 2007 until he joined DVS in 2015, he collaborated with Duke faculty and graduate students from Math to Computational Biology to Art History, helping them transform, visualize and understand their data. In this position he enjoys 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.

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.

Angela Zoss

Angela Zoss is an Assessment & Data Visualization Analyst with the Duke University Libraries. She has been teaching visualization practices and tools for over 10 years, including six years as a Data Matters instructor and over 100 workshops, guest lectures, and conference presentations. In her role as Duke University’s first Data Visualization Coordinator, she created new library workshops on visualization; hosted an annual student data visualization contest; co-organized a weekly talk series on visualization topics; 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 holds a Master of Science in Communication from Cornell University and a Ph.D. in Information Science from Indiana University. She is a certified instructor for both RStudio (tidyverse certified) and The Carpentries.