Core Belief

I believe that effective pharmaceutical education must bridge the gap between theoretical knowledge and real-world application. As a pharmacologist with expertise spanning computational drug discovery and experimental research, I am committed to creating learning environments where students actively construct knowledge through inquiry, collaboration, and authentic problem-solving.

My philosophy centres on the conviction that every pharmacy student can develop into a critical thinker and evidence-based practitioner when provided with the right scaffolding, meaningful challenges, and a supportive learning ecosystem. I view teaching not as the transmission of facts, but as the facilitation of intellectual transformation.

“Tell me and I forget, teach me and I may remember, involve me and I learn.” - This principle from experiential learning theory underpins every course I design: students must be actively involved in discovering pharmacological concepts, not merely receiving them.

• Student-Centred Learning: Students learn best when they take ownership of their learning. I design activities that shift the focus from the lecturer to the learner, using PBL cases, flipped classroom, and collaborative projects.
• Research-Informed Teaching: My active research in computational pharmacology, NAFLD drug discovery, and systems pharmacology directly feeds into the classroom. Students engage with real datasets, current publications, and live software demonstrations from ongoing projects.
• Inclusivity and Respect: Every student brings a unique background and perspective. I foster an inclusive classroom where questions are welcomed, mistakes are treated as learning opportunities, and diverse viewpoints enrich discussions.
• Continuous Improvement: Teaching is a scholarly endeavour that benefits from reflection, peer feedback, and evidence. I regularly evaluate and refine my methods based on student feedback, peer observations, and learning outcome data.
• Technology-Enhanced Learning: Digital tools - from molecular visualisation software (PyMOL, AutoDock) to LMS platforms and AI-powered tools (InSilicoΣ) - expand the boundaries of what can be taught and experienced in the pharmacy classroom.

• PBL with real pharmaceutical cases: Drug interaction scenarios from published clinical reports, NAFLD patient cases from my own research, and toxicology risk assessments that mirror real regulatory challenges.
• Flipped pharmacology lectures: Video-first delivery of complex mechanisms (e.g., receptor pharmacology, drug metabolism) allows class time for deeper discussion, clinical application, and student questions.
• Research-integrated labs: Students use the same computational tools (AutoDock, PyMOL, GROMACS) and databases that I use in my research, providing authentic exposure to modern drug discovery workflows.
• Rubric-based transparent assessment: All assessment criteria are shared upfront, empowering students to self-regulate and target higher cognitive levels.