Jonathan Latner

The Synthetic Data in Statistics and Informatics (SynDeStatIk) project's objectives are to distinguish the disparities between computer science and statistics approaches and further develop methods. • Analyze a range of statistical tools for generating synthetic data, including parametric methods, machine learning techniques, and deep learning approaches. • Utilize R and Python software for synthetic data generation, leveraging libraries/frameworks to implement advanced algorithms and models.

The SECCOPA project, (“The socio-economic consequences of temporary employment: A comparative panel data analysis”) analyzed temporary work's multifaceted socio-economic impacts using innovative methods across countries. • Conducted economic research on European labor markets by leveraging panel and time- series data analysis techniques. • Performed in-depth quantitative analyses on the trends, distribution, and socio-economic impact of temporary employment using R programming

• Published peer-reviewed articles in top academic journals, applying econometric models to analyze income volatility, minimum income policies, and home foreclosure trends. • Taught a wide range of courses at the Bachelor's, Master's, and Doctoral levels, including Introduction to Sociology, Social Stratification, and Quantitative Methods for Panel Data Analysis. • Applied advanced statistical models and techniques in quantitative research using Stata and R programming languages.

During my PhD in advanced statistics, I served as a quantitative data analysis assistant for professors in the Schools of Public Affairs and Human Ecology. • Performed comprehensive data cleaning and preparation for cross-sectional, panel, and big data (50GB) datasets. • Conducted quantitative analyses using linear, logit, fixed-effects models, competing risks hazard models, and propensity score matching techniques. • Utilized statistical programming with Stata for data manipulation and analysis.

• Awarded a Research Fellowship from the German Academic Exchange Service (DAAD). • Conducted research on sociology, social policy and program evaluation under the supervision of Prof. Dr. Markus Gangl.

• Conducted public policy research and program evaluation for a government organization in Boston, MA. • Performed in-depth analyses of labor market data and presented key findings to workforce development professionals. • Authored research reports about the healthcare and manufacturing industries. • Contributed as an author to "Hot Jobs, Good Wages: How to Live, Work and Thrive in Massachusetts," a report highlighting high-demand occupations requiring less than a college degree.

• Conducted comprehensive program evaluations using quantitative and qualitative research methods for an economic development consulting firm. • Gathered qualitative data through one-on-one interviews and on-site visits. • Synthesized findings into clear and concise written reports for effective stakeholder communication. • Presented evaluation results to key stakeholders, facilitating data-driven decision-making.

Coordinated and maintained a coalition comprising hospitals, nursing homes, community-based organizations, and educational providers for a public industry council. • Performed program evaluation tasks, including data collection and entry, ensuring data integrity and accuracy. • Authored the report "Pathways to Success," a comprehensive manual elucidating the connections between skills, education, occupations, and employers within the healthcare sector.