Built panderersbox.com: a Python-based web application that helps presidential candidates identify and speak to additional potential supporters. • Curated and cleaned tweets gathered through the Twitter REST API via tweepy. • Identified topics with natural language processing techniques (Latent Dirichlet Allocation). • Selected topic features predictive of candidate support using random forest in scikit-learn. • Deployed interactive front end using Flask and Bootstrap hosted on Amazon Web Services with Elastic Beanstalk and Relational Database Service.

• Managed over 20 projects from initial design through final reporting. • Translated requests of external clients into actionable experimental protocols, budgetjustifications, and statistical analyses in collaboration with an interdisciplinary team. • Wrote data management, workflow, quality assurance, and statistical analysis scripts in Bash,Python, MATLAB, Make, and R for implementation across a distributed Linux cluster. • Trained research assistants and allocated their time to address competing requirements acrossprojects for multiple clients. Supervised recruitment, data collection, and image processingpipeline development. • Documented procedures and constructed educational materials for trainees and collaborators.Communicated results to multidisciplinary collaborators, funding agencies, and ethics oversightorganizations.

Taught Psychology of Thinking and Introduction to Cognitive Psychology • Created lectures, demonstrations, and activities for 50-100 students each term. • Chose appropriate textbook readings, articles, and videos to assign as preparation for lecture. • Developed and administered assessments.

• Developed experiments examining limitations in human cognitive performance including difficulties in ignoring irrelevant information, switching attention between tasks, and encoding and retrieving memories. Evaluated individual differences in these limitations related to factors such as age, mood, and self-control. • Developed instruments for collection of quantitative data. Collected neuropsychological, behavioral, and MRI data. • Performed statistical analyses of complex datasets using SPSS and specialized neuroimaging software packages. • Architected and maintained a multi-laboratory recruitment database in Microsoft Access including the development of forms and SQL queries. • Supervised up to 15 undergraduate research assistants each semester, including mentoring independent study and honors projects. • Prepared conference presentations and manuscripts. Delivered presentations to colleagues at internal meetings as well as international conferences.

Taught Human Neuropsychology and Introduction to Cognitive Psychology (Fall 2006-Winter 2009) • Won the Outstanding Graduate Student Instructor Award – the highest graduate student teaching honor at the University of Michigan - based on student and faculty nomination. • Planned and led weekly discussion sections including creating activities, supplemental study materials, occasional lectures, and assessments. • Consistently earned excellent student ratings. • Served as Graduate Student Mentor, which involved advising other Graduate Student Instructors, helping them resolve student and administrative issues, and evaluating their classroom performance. • Trained new Graduate Student Instructors at the Center for Research on Learning and Teaching’s New Graduate Student Instructor Orientation.