Teaching & Mentorship

Teaching Philosophy

My teaching philosophy bridges clinical medicine, computational methods, and data literacy. Having trained as a physician (M.D.) and working in Biomedical Informatics (PhD), I focus on helping students understand both the technical mechanics of health data systems and their real-world impact on clinical workflows and patient care.

Courses Supported

BMI 201: Introduction to Clinical Informatics

Role: Graduate Teaching Associate
Institution: College of Health Solutions, Arizona State University
Term: Fall 2025

• Overview: Foundational course covering clinical data structures, electronic health record (EHR) architectures, clinical decision support (CDS) systems, and health data interoperability.
• Responsibilities:
  • Led weekly discussion sections and student office hours.
  • Developed and graded practical assignments on clinical data standards (ICD-10, CPT, LOINC, SNOMED-CT).
  • Guided undergraduate students in building introductory clinical data queries.

BMI 601: Health Informatics

Role: Graduate Teaching Associate
Institution: College of Health Solutions, Arizona State University
Term: Spring 2026

• Overview: Graduate-level course focusing on advanced health informatics methodologies, FHIR-based interoperability, clinical natural language processing (NLP), and AI evaluation in healthcare.
• Responsibilities:
  • Facilitated graduate-level case study discussions on clinical AI safety and algorithmic bias.
  • Assisted in designing hands-on labs using Python and FHIR APIs.
  • Mentored master’s and doctoral students on term research projects in clinical data analysis.

Mentorship & Student Guidance

• Office Hours & Project Coaching: Dedicated weekly sessions supporting students in debugging Python pipelines, understanding clinical workflows, and designing informatics research projects.
• Academic Writing Workshops: Organized peer-review and scientific writing sessions to help students format abstracts and manuscripts for health informatics conferences.