My goal is to improve educational quality and build organizational capacity in schools, which includes developing tools and practices to appropriately assess teaching and learning, analyze the myriad data that emerge from it, and support leadership in making informed decisions based on the best evidence available.
My research background is quite diverse, with research in teacher effectiveness, data and evidence use, decision-making based on the different types of data and research evidence, and broader organizational research into schools and educational institutions. I want to base my career in practical contexts that lead to high impact and organizational change, and so I am looking for positions in large districts, with state departments of education, or with research institutions that focus on creating effective and innovative educational organizations that seek to build strong data practices for improvement.
My prior work as a full stack Senior Developer at the McDonnell Genome Institute has provided me with a fairly unique skill set that is atypical for educational administrators or researchers. I was the project lead to develop a large-scale business intelligence OLAP database, have very efficient automation and programming skills, and have been a senior team member in the development of web application systems, data infrastructure platforms, stand alone projects, and distributed systems.
My primary career interest is to participate in building effective organizational systems that scale within schools, districts, and the educational system at large. This includes building out a sensible technical and data infrastructure that meets the criteria for effective data use: that it provides immediate and relevant data, is accessible (e.g. employs a sophisticated user experience), and provides information to teachers and school leaders that is actionable (e.g. formative).
Additionally, we have 30 years of research on data use that tells us that effective systems require more than accessible data, and the most important component is to engage stakeholders at all levels. I strongly believe that change (or the lack of it) happens with the street level bureaucrat (Lipsky, 1980; see also Honig, 2006), and so any desire to leverage new research, data, or technology to improve the organizational systems needs interconnection with all levels.