MINERVA VOICES

Introducing Our New MDA Head Instructor

Introducing Professor Geneva Stein, Ph.D.
June 29, 2021

We are excited to welcome Professor Geneva Stein, Ph.D., as the new Master in Decision Analysis (MDA) Head Instructor.

Stein originally joined Minerva in 2018 from Princeton University where she completed her Ph.D. in Molecular Biology and Neuroscience before serving as the Assistant Director of Undergraduate Learning Programs. After publishing several peer-reviewed scientific articles in molecular biology, Stein pivoted her focus toward understanding and translating the science of learning into effective pedagogical practice. Stein’s most recent publication focused on students’ pandemic learning experience. She is passionate about helping students understand how to intentionally develop processes of critical thinking, problem-solving, and communication in their desired field. Stein considers Minerva’s fully active learning pedagogy and purposeful reflection as two necessary components in helping students thrive.

“Minerva puts pedagogy research into practice across their curriculum. I’m excited to be a part of a passionate faculty leading classes where all students can learn.”

At Minerva, Professor Stein has taught Advanced Empirical Analysis and Advanced Complex Systems in the MDA, as well as Empirical Analysis, Multimodal Communications, psychology, and senior-year tutorials in Minerva’s undergraduate program. Stein has also mentored two MDA students on their final thesis projects. As the Head Instructor for the MDA, she will oversee Minerva’s graduate academic programming and assist in the MDA admissions process.

“I look forward to welcoming the incoming MDA students in the Class of 2023 as they begin their journeys this fall. I hope to help all MDA students learn how to develop their academic, professional, and personal talents through rigorous pedagogy and a passionate learning community.”

Quick Facts

Name
Country
Class
Major
Business and Computational Sciences
Business and Social Sciences
Arts and Humanities
Business, Social Sciences
Business & Arts and Humanities
Computational Sciences
Natural Sciences, Computer Science
Computational Sciences
Arts & Humanities
Computational Sciences, Social Sciences
Computational Sciences
Computational Sciences
Natural Sciences, Social Sciences
Social Sciences, Natural Sciences
Data Science, Statistics
Computational Sciences
Business
Computational Sciences, Data Science
Social Sciences
Natural Sciences
Business, Natural Sciences
Business, Social Sciences
Computational Sciences
Arts & Humanities, Social Sciences
Social Sciences
Computational Sciences, Natural Sciences
Natural Sciences
Computational Sciences, Social Sciences
Business, Social Sciences
Computational Sciences
Natural Sciences, Social Sciences
Social Sciences
Arts & Humanities, Social Sciences
Arts & Humanities, Social Science
Social Sciences, Business
Arts & Humanities
Computational Sciences, Social Science
Natural Sciences, Computer Science
Computational Science, Statistic Natural Sciences
Business & Social Sciences
Computational Science, Social Sciences
Social Sciences and Business
Business
Arts and Humanities
Computational Sciences
Social Sciences
Social Sciences and Computational Sciences
Social Sciences & Computational Sciences
Social Sciences & Arts and Humanities
Computational Science
Minor
Economics
Social Sciences
Concentration
Machine Learning
Cells, Organisms, Data Science, Statistics
Arts & Literature and Historical Forces
Artificial Intelligence & Computer Science
Cells and Organisms, Mind and Emotion
Economics, Physics
Managing Operational Complexity and Strategic Finance
Global Development Studies and Brain, Cognition, and Behavior
Scalable Growth, Designing Societies
Business
Drug Discovery Research, Designing and Implementing Policies
Historical Forces, Cognition, Brain, and Behavior
Artificial Intelligence, Psychology
Designing Solutions, Data Science and Statistics
Data Science and Statistic, Theoretical Foundations of Natural Science
Strategic Finance, Politics, Government, and Society
Data Analysis, Cognition
Brand Management
Data Science and Statistics & Economics
Cognitive Science & Economics
Data Science and Statistics and Contemporary Knowledge Discovery
Internship
Higia Technologies
Project Development and Marketing Analyst Intern at VIVITA, a Mistletoe company
Business Development Intern, DoSomething.org
Business Analyst, Clean Energy Associates (CEA)

Conversation

We are excited to welcome Professor Geneva Stein, Ph.D., as the new Master in Decision Analysis (MDA) Head Instructor.

Stein originally joined Minerva in 2018 from Princeton University where she completed her Ph.D. in Molecular Biology and Neuroscience before serving as the Assistant Director of Undergraduate Learning Programs. After publishing several peer-reviewed scientific articles in molecular biology, Stein pivoted her focus toward understanding and translating the science of learning into effective pedagogical practice. Stein’s most recent publication focused on students’ pandemic learning experience. She is passionate about helping students understand how to intentionally develop processes of critical thinking, problem-solving, and communication in their desired field. Stein considers Minerva’s fully active learning pedagogy and purposeful reflection as two necessary components in helping students thrive.

“Minerva puts pedagogy research into practice across their curriculum. I’m excited to be a part of a passionate faculty leading classes where all students can learn.”

At Minerva, Professor Stein has taught Advanced Empirical Analysis and Advanced Complex Systems in the MDA, as well as Empirical Analysis, Multimodal Communications, psychology, and senior-year tutorials in Minerva’s undergraduate program. Stein has also mentored two MDA students on their final thesis projects. As the Head Instructor for the MDA, she will oversee Minerva’s graduate academic programming and assist in the MDA admissions process.

“I look forward to welcoming the incoming MDA students in the Class of 2023 as they begin their journeys this fall. I hope to help all MDA students learn how to develop their academic, professional, and personal talents through rigorous pedagogy and a passionate learning community.”