Emily Mo Email & Phone Number

Cambridge, Massachusetts, United States

- Conducts research using both qualitative and quantitative methods to understand complex human needs and inform design decisions- Designs and analyzes surveys to explore concepts and assess desirability around emerging products, services, or experiences- Interprets and tells human-centered stories using quantitative information

- Served as the primary statistical analyst for multiple studies within the Oral Health Policy and Epidemiology department regarding the benefits of oral and medical care integration- Cleaned large insurance claims datasets in SQL and R- Fitted regression models and created data visualizations in R, often within a Unix environment- Assisted in literature.

- Assisted university students in statistical concepts such as the Central Limit Theorem and hypothesis testing- Taught fundamental computer programming concepts and statistical analysis in R- Contextualized course content with real-world applications, and encouraged students to assess statistical results under a critical lens

- Worked on a consulting team to provide guidance in statistical methodology to researchers throughout Boston University- Under supervision of Trinity Life Sciences, maintained Medicare databases using SQL, and analyzed data to find patterns regarding common medical conditions- Trained predictive models to help BU Physical Therapy practitioners assess knee.

- Used statistical modeling to analyze software usage and student assessment data from 2018 pilot of SNUDLE (Science Notebook in a Universal Design for Learning Environment) and created data visualizations for presentation- Cleaned and transformed data sets for both research projects and internal use- Performed quality checks on scoring data- Assisted in.

Led the 2020 overhaul of the Rennie Center's online Data Dashboard:- Worked with with staff and policy interns to operationally define equity in the context of education in Massachusetts- Proposed new indicators for the Data Dashboard that reflected the operational definition of equity, and pulled and cleaned data from sources- Proposed changes to the Data.

- Assisted in data cleaning and data exploration to help plan new predictive algorithms.- Assisted with automation of client report generation using HTML, CSS, and Python.

- Coordinated a research project within a small group that used simulations and modeling in R to investigate how different survey response styles affect statistical estimation of Likert-type survey results.- Led the coding responsibilities of the project, including generating large data sets for analysis through parallel computing, and provided mentorship.

- Produced code in R to clean and consolidate financial contribution data from the supporter database.- Designed a survey to collect demographic data and feedback from supporters.- Built linear regression models with variables from survey responses and the supporter database in order to identify relationships between supporters’ political and financial.

Prepared weekly payroll, entered new employees into the payroll system, performed background checks on new employees, cut checks, and approved travel reimbursement vouchers.

Maintained data tables, digitized important records, answered phones and fielded phone calls, filed mail and packages, and handled copying/scanning jobs.

Assisted students in traveling throughout the community and using technology, taught students basic academic concepts, and supervised students in performing community service.

Supervised and interacted with children during activities and field trips, and helped them foster independent thinking, creativity, and cooperation skills.

Master Of Science - Ms, Statistical Practice

Bachelor Of Arts - Ba, Mathematics And Statistics

Education record