Teaching
As a Lecturer at the University of Wisconsin-Milwaukee (UWM) College of Health Sciences, I design and teach graduate-level courses that blend data science, machine learning, and healthcare informatics. My teaching philosophy centers on providing students with both rigorous theoretical foundations and hands-on practical experience, preparing them to tackle real-world challenges in healthcare and data-driven industries.
Lecturer — UWM College of Health Sciences
Sep. 2024 – Dec. 2025
Big Data & Healthcare Informatics (Graduate)
Designed and delivered comprehensive curriculum covering distributed computing frameworks (Apache Spark), machine learning for large-scale health data, deep learning architectures, and production AI systems. Developed hands-on lab assignments implementing scalable data pipelines, predictive modeling, and real-world healthcare analytics applications for 60+ graduate students.
Key Topics:
- Introduction to distributed systems and frameworks (Hadoop, Spark)
- Data pipeline architecture and scalable processing
- Cleaning, transforming, and managing large datasets
- Machine learning and deep learning techniques for high-dimensional health data
- Real-world case studies and hands-on projects with healthcare datasets
Introduction to Healthcare Informatics (Graduate)
Taught foundational course spanning health IT ecosystems, stakeholder analysis, clinical decision support systems, medical image processing, AI/ML in healthcare, data standards (HL7, FHIR), evaluation frameworks, and translational informatics. Emphasized interdisciplinary perspectives connecting technology, clinical practice, policy, and patient outcomes.
Key Topics:
- Understanding healthcare data ecosystems (EHRs, registries, health information exchanges)
- Clinical decision support and AI in healthcare
- Health data privacy, security, and ethical considerations
- Standards and interoperability (HL7, FHIR) for data exchange
- Medical image processing and neural signal analysis
- Analyzing social determinants of health for improved care strategies
Teaching Assistant — UWM
Aug. 2023 – Sep. 2024
- Big Data & Healthcare Informatics — Led lab sessions on applied healthcare data science, teaching graduate students to implement machine learning pipelines, develop simulation models, and analyze electronic health records using Python-based frameworks and distributed computing tools.
- Contributed to curriculum development by designing assignments, creating coding tutorials, and developing assessment rubrics that emphasized real-world clinical applications of informatics methods.
Research Mentorship
I am committed to developing the next generation of researchers in biomedical informatics and AI for healthcare:
- Mentored 10+ undergraduate and graduate students on research projects involving medical modeling, machine learning, and clinical data analysis
- Supervised 5+ students through completion of thesis projects focused on machine learning, clinical data analysis, and health informatics
- Guided students in research methodology, scientific writing, and conference presentation skills