Aleksandrina Goeva

Postdoctoral Fellow at the Broad Institute of MIT and Harvard

I am a statistician currently working with single cell and spatial transriptomics data answering questions about structure and function of biological tissues focusing on the brain. I received my PhD in Mathematics and Statistics at Boston University.

Cambridge, MA https://tudaga.github.io/tudaga https://scholar.google.com/citations?hl=en&user=-AjMa60AAAAJ

All Pubs (6)Attributed Pubs (6)

Why Do We Plot Data?

by Kelly Blumenthal, Aleksandrina Goeva, Sara Stoudt, Ana Trisovic, and Pavle Trisovic

Published: Sep 10, 2021

Accompanying text for the “Designing for interactive exploratory data analysis requires theory of graphical inference” Explainer Zine

Toward Reproducible and Extensible Research: From Values to Action

by Aleksandrina Goeva, Sara Stoudt, and Ana Trisovic

Published: Dec 16, 2020

Recipes for Connector Courses From the Early-Career Board Kitchen

by Aleksandrina Goeva, Peyton Jones, Sara Stoudt, and Ana Trisovic

Published: Jun 07, 2021

Connections

Rejoinders (1):

Ani Adhikari & 2 others

Kaleidoscopic Perspectives on Practicum-Based Data Science Education

by Shuang Frost, Aleksandrina Goeva, Javin Pombra, William Seaton, Sara Stoudt, Ana Trisovic, Chris Wang, and Catherine Zucker

Published: Feb 25, 2021

An interview with Shuang Frost, Aleksandrina Goeva, Javin Pombra, Sara Stoudt, Ana Trisovic, and Chris Wang by William Seaton and Catherine Zucker

Connections

Rejoinders (1):

Eric D. Kolaczyk & 2 others

COVID-19 Case Fatality Rate Bias Visual Explainer

by Aleksandrina Goeva and Sara Stoudt

Published: Feb 25, 2021

Early-Career View on Data Science Challenges: Responsibility, Rigor, and Accessibility

by Shuang Frost, Aleksandrina Goeva, William Seaton, Sara Stoudt, and Ana Trisovic

Published: Sep 30, 2020

Connections

Rejoinders (2):

Jeannette M. Wing

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Xuming He & 1 other