FAST Fellow Bios

2024-2025 FAST Fellows

Danielle M. Cadet is a second-year PhD student in the Department of Human Development and Family Studies at Michigan State University, specializing in Diversity, Youth, and Family Development. Her current research focuses on an ecological understanding of critical consciousness development. Her diverse educational background includes a Master of Education in Learning & Design from Vanderbilt University, a Bachelor of Arts in Sociology from Bryn Mawr College, and various professional certificates. Dani brings a multidisciplinary approach to her work. Her academic journey is complemented by significant experience in pre-college programs, where she has served as a counselor, program manager, and curriculum specialist since 2019. As a FAST Fellow, Dani aims to develop innovative teaching strategies that integrate their expertise in data analytics, instructional design, and organizational behavior. She aims to create engaging learning experiences that enhance students' critical thinking skills and prepare them to address complex societal issues related to diversity, development, and human ecologies.

Sona Chitchyan is a second year PhD student at CMSE working in Computational Education Research Lab(CERL). Sona got her Master's degree from the department of Physics and Astronomy at MSU. Afterwards, they got into education research, focusing on studying the process of teaching computation in the context of astrophysics and improving astronomy education by integrating computation. As a FAST Fellow, Sona is working on designing an assignment for CMSE202 that explores using astronomical concepts to practice computational skills in Agent Based Modeling (ABM). In their free time they enjoy playing racquetball and watching TV shows. Sona is also interested in contributing to open source codes in astrophysics.

Maggie Conway is a doctoral candidate in the Department of Chemistry. Her current research focus is investigating electrochemical reduction of nitrate to value-added products, such as ammonia and hydrazine. Throughout her time at MSU she has taught multiple laboratory courses in the Chemistry and Biological Sciences departments. As a FAST Fellow, she is interested in how students connect and apply knowledge and resources they have gained in their previous coursework as they tackle new challenges, particularly in the laboratory setting. Outside of the lab, Maggie enjoys hiking with her dogs and various creative pursuits – lately, those are making stained glass and cooking (though never at the same time!).

Maria Cruciani is a second-year doctoral student in the Program in Mathematics Education (PriME) and the Department of Statistics and Probability. Her research interests lie within statistics and data science education, exploring the effects of equity-centered pedagogical and curricular interventions on students’ motivational attitudes toward learning statistics. She is also interested in teaching statistics for social justice and helping students develop critical statistical literacy. Maria is passionate about helping all learners understand statistics and tailoring her teaching to the abilities and interests of each student. As a FAST Fellow, she would like to pursue a teaching as research project aimed to improve undergraduate preservice teachers’ confidence in applying statistical concepts to real-world issues.

Deepak James is a fourth-year PhD student in the Department of Chemistry at Michigan State University. His research explores the interaction of environmental contaminants, such as PFAS, with various human proteins using computational chemistry methodologies. As a FAST Fellow, Deepak is interested in exploring ways to improve student performance on basic chemistry concepts such as Intermolecular forces by using web-based computational chemistry software compared with traditional methods.

Heather Murdoch is a fourth year PhD candidate in the Microbiology, Genetics, and Immunology program. Her research seeks to understand how the two-component system PhoPR, and carbon source availability allows Mtb to arrest its growth and survive within the macrophage, resulting in drug tolerance. This will lead the lab into more testable drug targets, and lower treatment times with antibiotics. As a FAST Fellow, she wants to pursue teaching-as-research project that is aimed to improve undergraduate students’ skills in managing their time in an active learning classroom. In active learning classrooms, students are responsible for taking control of their learning, and this is an essential skill that will help them not only in this class but help develop essential skills for real-world challenges that may arise when wearing the many hats that society expects.

Samantha Musso is currently a third year PhD student in the Department of Pharmacology and Toxicology (PHMTOX), pursuing a dual degree in Environmental and Integrated Toxicological Sciences (EITS). Her research is centered on understanding the effects of modifiable risk factors, such as obesity and exposure to environmental chemicals, on the initiation and progression of cancer. In particular, Samantha’s current work focuses on elucidating how factors produced by adipose tissue contribute to the development and promotion of chemo-resistance in estrogen receptor positive breast cancer. In addition to her research, Samantha is a University Distinguished Fellow who is a member of the leadership team for both the PHMTOX Graduate Student Organization and the Graduate Recruitment and Initiative Team, as well as a peer mentor and a member of MSU BEST. She is passionate about providing undergraduates with non-traditional research opportunities and has spent the past two summers as a fellow for the Biomedical Research for University Students in Health Sciences (BRUSH) Summer Research Program, serving as both a graduate student mentor and programmatic developer. For her FAST project, Samantha hopes to explore science communication. Particularly, she seeks to develop ways to train students to communicate their science effectively and efficiently to non-science audiences, through the use of oral presentations, written communication, and digital infographics.

Miguel Angel Rodriguez Mejia is an international second-year graduate student in the PhD program in Mathematics Education (PRIME). He comes from Colombia, where he worked as a mathematics teacher in middle and high school, as well as at the undergraduate level. His research interest spins about using statistical modeling to develop Critical Statistical Literacy in undergrad students. Miguel seeks to find in statistical modeling possible ways to address social and environmental issues, seemingly, contributing to form students that could be critical consumers/producers of data. Miguel is committed to using research to face and break down barriers hindering access to STEM majors for misrepresented communities. As a FAST Fellow, Miguel is interested in exploring how to pose mathematics/statistics problems from a culturally responsive approach that recognizes the diversity presented in a classroom. Also, he is moved to explore strategies for implementing teaching based on social justice for mathematics/statistics classes in early college math classes.

Luke J Seaton is a third-year doctoral student in the Department of Mathematics. His research interests lie in low-dimensional topology. His teaching experience includes working as a grader, recitation leader, and instructor of record for various undergraduate math courses. He served three years as an organizer of OURFA2M2, an organization dedicated to connecting marginalized undergraduate mathematics students across the United States with resources to support their journeys to become mathematicians. He is currently working on a project to support first-generation or low-income students in the mathematics department at MSU. As a FAST Fellow, Luke wants to explore a teaching-as-research project to support undergraduate mathematics students’ learning in MTH 299: Transitions, the pivotal course in the MSU mathematics curriculum that transitions students from calculus to proofs.