My teaching philosophy is rooted in a global, emancipatory approach that sparks curiosity, sharpens critical thinking, and equips students to solve real-world problems. I use evidence-based, inquiry-driven methods, including co-design, experiential learning, guest lectures, and team-based projects, to create dynamic, student-centered classrooms that foster active learning and cross-cultural awareness.
I am deeply committed to teaching, mentorship, and service. With extensive experience in curriculum development, online and in-person instruction, and interdisciplinary clinical simulation, I have taught hundreds of master’s and PhD students at Rush University College of Nursing in courses including Intermediate Biostatistics, Qualitative Research Methods, and Health Policy and Finance. In 2020, I was honored with the Sigma Theta Tau International Outstanding Graduate Student Teaching Award for excellence in online education.
Inclusivity is at the heart of my pedagogy. By weaving global case studies and diverse lived experiences into my teaching, I help students broaden their perspectives and prepare to lead with cultural humility and equity in an interconnected world.
This course will focus on the design, conduct, and dissemination of qualitative research. Emphasis will be on the critical appraisal of qualitative research methodologies, data analysis, and interpretation of findings. Prerequisite: Understanding Scientific Paradigms. Retake Counts for Credit: No. Letter Grading Allowed: No. Credit(s): 3.
In this course, we roll up our sleeves and explore how diseases actually spread, why some communities get hit harder, and (most importantly—what we can do to stop it.
You’ll learn to track patterns of illness and health using real-world data: building clean datasets, choosing the right measures of risk, drawing clear graphs that tell the story at a glance, and running the analyses that separate signal from noise.
We dig into causation, transmission, prevention, and the art of turning numbers into action. By the end, you won’t just read research, you’ll think like an epidemiologist and translate evidence into real protection and healing for the communities you serve. Letter Grading Allowed: No. Credit(s): 3.
This course examines current healthcare policy and economic trends, as well as their impact on financing and care delivery in the United States. Using informatics as a tool, costs associated with specific healthcare delivery systems will be analyzed at the organizational level. Letter Grading Allowed: No. Credit(s): 3.
I designed this advanced biostatistics course specifically for future health scientists who already know the basics and are ready to level up.
We dive deep into the tools you’ll actually use every day in research and practice: fitting and interpreting logistic, Poisson, and ordinal regression; running one-way, factorial, repeated-measures, and mixed-design ANOVAs (plus ANCOVA); making sense of interaction effects; and adjusting for multiple comparisons so your p-values tell the truth.
Along the way, we explore multilevel and hierarchical models—perfect for nested data (think patients within clinics within neighborhoods).
My goal? When you leave this class, you won’t just run the analysis—you’ll understand exactly what the numbers are saying about real human lives. Letter Grading Allowed: No. Credit(s): 3.