Meet the Staff

The AEIR team features diverse and extensive expertise in social science research and evaluation design and implementation, combining a mix of strong qualitative and quantitative skills, and an edge for innovative research design.

Brian Yoder, Ph.D.

Dr. Yoder is the department Director, guiding the overall direction of research and evaluation activities.  Prior to working at ASEE, Brian worked at NASA Education, overseeing the development of an on-line performance management system to assess NASA’s educational investments nationally.  He also serves as President of the Washington Evaluators, a local affiliate of the American Evaluation Association.

 

Rossen Tsanov

Rossen is a social science researcher with multiple years of progressive experience in program evaluation. He possesses a strong expertise in mixed methods and qualitative data collection and analysis. Rossen is an expert in the use of ATLAS.ti and MAXQDA for qualitative inquiry. He has worked on domestic and international research and evaluation projects in education, workforce development, public health, and other fields.

 

Austin Ryland, Ph.D.

Austin’s background is in higher education with an emphasis area in STEM research and education. He has been trained in qualitative and quantitative research with a focus on secondary data sets. His work experience includes clinical medical research settings and university assessment and research roles using an educational research and social science approach.

 

Kendall Moffett-Sklaroff

Kendall is a recent graduate of the George Washington University, where she received her Bachelor of the Arts in Computational Mathematics. She has focused on linear regression models as well as network modeling for larger systems. She has worked in computer systems and coding, building websites with HTML, CSS, as well as large-scale programs in the C language.

 

Daodao Wang

Daodao Wang just received her Master of Science degree in Data Science from Georgetown University, where she has also been working as a big data research assistant. She has hands-on experience with machine learning, data mining and natural language processing with Python and R; currently she has an interest in various kinds of data visualization tools.