Natural Products, Clinical Evidence, and AI-Enabled Scientific Workflows
I am a PhD candidate in Pharmaceutical Sciences working at the intersection of medicinal plants, translational science, clinical evidence review, scientific documentation, and research operations.
Scientific identity rooted in plants, evidence, and translation.
My work spans medicinal plants, natural products, translational phytochemistry, clinical research training, compliance-oriented research support, and AI-enabled information organization.
Core themes shaping my current work
Botanical Evidence
Clinical and translational interpretation of medicinal plant research for scientific and product relevance.
Scientific Documentation
Structured summaries, evidence synthesis, and compliance-aware communication for technical audiences.
AI-Enabled Workflows
LLM-enabled mapping, information organization, and smarter research support systems.
Research programs, platforms, and translational tools
Phyto ClinIQ
A recurring clinical evidence series translating medicinal plant studies for academic and industry audiences.
RISe
AI-enabled research integrity support framework for compliance, governance, and institutional workflows.
Rice RBLP GPT
Research administration and compliance support concept developed during BioTech LaunchPad internship.
BLOOMZ Score
Natural-product intelligence concept focused on spectral and botanical evidence organization.
Recent work and scientific contributions
Chemical Biology & Drug Design, 2025
ChemistrySelect, 2025
Phyto ClinIQ
A LinkedIn and web series designed for both academic and industry audiences, translating medicinal plant studies into clear, structured scientific insight.
- Botanical identity and extract context
- Clinical study design and endpoints
- Main findings and limitations
- Translational relevance for evidence-minded readers
Contact
I welcome conversations about project-based collaborations, scientific affairs, botanical evidence work, translational science, and research-support opportunities.