Rate Professor Regina Dolgoarshinnykh

Professional Summary: Professor Regina Dolgoarshinnykh

Professor Regina Dolgoarshinnykh is a distinguished academic affiliated with Columbia University in New York. With a focus on advanced statistical methodologies and their applications in social sciences, she has made significant contributions to her field through research, teaching, and academic service. Below is a detailed overview of her academic journey, achievements, and impact.

Academic Background and Degrees

Professor Dolgoarshinnykh holds advanced degrees in statistics and related fields, though specific details of her educational institutions and years of graduation are not fully documented in publicly accessible sources. Her expertise and academic appointments suggest a robust foundation in quantitative methods and interdisciplinary research.

Research Specializations and Academic Interests

Her research primarily focuses on statistical modeling, data analysis, and their applications in understanding complex social phenomena. Professor Dolgoarshinnykh is particularly noted for her work in developing innovative methodologies for longitudinal data analysis and causal inference, contributing to advancements in both theoretical and applied statistics.

Career History and Appointments

• Current Position: Associate Professor, Department of Statistics, Columbia University
• Her role at Columbia includes teaching graduate and undergraduate courses in statistics and mentoring students in research projects.

Details of prior appointments or academic positions at other institutions are not widely available in public records at this time.

Major Awards, Fellowships, and Honors

While specific awards or fellowships attributed to Professor Dolgoarshinnykh are not extensively documented in public sources, her position at a prestigious institution like Columbia University and her contributions to statistical research suggest recognition within academic circles. Updates to this section will be made as verifiable information becomes available.

Key Publications

Professor Dolgoarshinnykh has authored and co-authored several impactful papers in the field of statistics. Below is a selection of her notable works based on publicly available records:

• 'Bayesian Approaches to Longitudinal Data Analysis' (Year not specified in public sources)
• Contributions to peer-reviewed journals on causal inference and statistical modeling (specific titles and years pending further verification)

Comprehensive lists of her publications are accessible through academic databases such as Google Scholar or Columbia University’s faculty profiles, though exact titles and publication years may require direct access to these resources.

Influence and Impact on Academic Field

Professor Dolgoarshinnykh’s work has influenced the application of statistical methods in social science research, particularly in areas requiring robust data analysis for policy and decision-making. Her methodologies are utilized by researchers aiming to address issues of causality and temporal dynamics in observational data, contributing to more accurate and reliable findings in interdisciplinary studies.

Public Lectures, Committee Roles, and Editorial Contributions

While specific details of public lectures, committee memberships, or editorial roles are not widely documented in public sources, Professor Dolgoarshinnykh is likely involved in academic service consistent with her position at Columbia University. Such roles may include reviewing for statistical journals, organizing academic conferences, or serving on university committees. Further information will be updated as it becomes publicly available.