Teaching

Teaching Philosophy

My teaching philosophy embraces a globalized and emancipatory approach, fostering active learning, curiosity, critical thinking, and global awareness in my students. I integrate evidence-based, inquiry-driven methods to engage students in problem-solving and real-world applications. Through diverse strategies, including guest lectures, co-design, experiential, and teamwork-based learning, I create dynamic, student-centered environments that promote skill-building aligned with course objectives.

Committed to teaching, service, and mentoring, I have experience in curriculum development, online and in-person instruction, and clinical simulation facilitation. In 2020, my contributions as a Ph.D.-level teaching assistant in an online statistics course earned me the Outstanding Graduate Student Teaching Award from Sigma Theta Tau International. I have since taught 300+ NP and Ph.D. students at Rush College of Nursing, covering Health Policy & Finance, Qualitative Methods, and Intermediate Statistics while also co-facilitating interdisciplinary clinical simulations for Nursing, Medicine, and Public Health students.

As an immigrant turned citizen, I prioritize inclusivity in my teaching. By integrating diverse case studies and international perspectives, I strive to broaden students' global awareness and equip them with the critical skills needed to navigate an interconnected world.

Courses Taught

The Research Process: Qualitative Design & Methods (NSG 688)

Semester: Summer 2024; Rush Univesity College of Nursing, Chicago IL

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 analysis and interpretation of findings. Prerequisite: Understanding Scientific Paradigms Retake Counts for Credit: No. Pass/No Pass Grading Allowed: No. Credit(s): 3.

Health Care Economics, Policy, and Finance (NSG 602)

Course Lead: Dr. Kathryn Osborne.

Semester: Fall 2021 to Present; Rush Univesity College of Nursing, Chicago, IL

This course examines current healthcare policy and economics trends and their impact on financing and care delivery in the US. Using informatics as a tool, costs associated with specific healthcare delivery systems will be analyzed at the organizational level.

Applied Epidemiology and Biostatistics for Nursing Practice (NSG 522)

Course Lead: Dr. Manju Daniel

Semester: Fall 2022, Fall 2023; Rush Univesity College of Nursing, Chicago, IL

Course emphasis is on using biostatistical and epidemiological methods to examine the distribution and determinants of health-related states and events. The concepts of disease causation and progression, modes of transmission, prevention, risk reduction, and health promotion are examined. Students learn to measure and manage health data, create data files and data dictionaries, perform descriptive and inferential data analyses and graphic displays, and interpret health statistics. The focus is on critically appraising and translating epidemiological principles and research to provide the foundation for evidence-based practice.

Intermediate Statistical Methods (N8020)

Course Lead: Dr. Chelsea Deroche (In Memoriam)

Semester: Fall 2020; University of Missouri-Columbia, School of Nursing

The primary goal of this course was to build on students’ prior knowledge in biostatistics, with particular emphasis on topics and applications relevant to the health sciences arena. The course addressed the computation, application, and interpretation of statistical results. Detailed coverage of generalized linear models - interpreting model parameters and evaluating goodness-of-fit. Analysis of variance (ANOVA) designs examined include the one-way ANOVA, factorial ANOVA, repeated measures ANOVA, and analysis of covariance (ANCOVA). Pair-wise comparisons and adjustments for multiple testing will be discussed and illustrated. Generalized linear model concepts include multiple logistic, Poisson, and ordinal regression. Various multilevel model structures will be introduced, including nested designs and fixed and random effects.

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