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

Social Sciences & Business

Business & Computational Sciences

Business and Social Sciences

Social Sciences and Business

Computational Sciences & Social Sciences

Computer Science & Arts and Humanities

Business and Computational Sciences

Business and Social Sciences

Natural 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

Computational Science & Business

Economics

Social Sciences

Concentration

Applied Problem Solving & Computer Science and Artificial Intelligence

Computer Science and Artificial Intelligence & Cognition, Brain, and Behavior

Designing Societies & New Ventures

Strategic Finance & Data Science and Statistics

Brand Management and Designing Societies

Data Science & Economics

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.”