Molecular Genetics | Genomics | Scientific Writing | Life Sciences AI
I am a molecular-genetics researcher working across academic and applied biomedical settings. My work combines genetics, genomic data interpretation, scientific writing, evidence synthesis, and practical AI-assisted workflow improvement.
I am interested in remote, part-time, contract, and consulting work where life-sciences expertise and scientific judgment matter more than conventional software engineering.
- Molecular biology and genetics subject-matter expertise
- Scientific and medical writing, editing, and evidence review
- Genomics and reproductive-genetics research support
- Biomedical literature, technology, and industry research
- AI output evaluation and scientific fact-checking
- Research-data structuring and interpretation
- AI-assisted prototyping of practical research workflows
Translated specialized biomedical processes into structured, reviewable workflows with explicit status tracking, quality checks, auditability, and human review points.
My contribution: domain analysis, workflow mapping, AI-assisted prototyping, validation, and iterative improvement.
Designed repeatable methods for converting semi-structured scientific documents into standardized research tables while preserving traceability to the source and routing uncertain fields for review.
My contribution: data-model design, domain-field mapping, exception handling, and output validation.
Converted structured laboratory or research inputs into consistent reports through controlled templates, interpretation rules, and review checkpoints.
My contribution: scientific requirements, report logic, validation criteria, and quality-control workflow.
Developed repeatable approaches for turning papers, patents, and technical documents into evidence tables, technology landscapes, and decision-oriented scientific reports.
My contribution: research-question framing, evidence standards, domain interpretation, structured synthesis, and quality control of AI-assisted outputs.
Molecular genetics, reproductive genetics, prenatal genetics, carrier screening, rare disease, whole-exome sequencing, variant interpretation, genotype-phenotype correlation, and genomic medicine.
Selected peer-reviewed work is available through ORCID.
- Genomics and molecular-biology subject-matter evaluation
- Life-sciences AI evaluation and scientific fact-checking
- Scientific writing, manuscript review, and evidence synthesis
- Biomedical and biotech research / competitive intelligence
- Research-data structuring and workflow improvement
This profile presents only high-level, de-identified outcomes and responsibilities. It does not publish patient information, institutional data, credentials, proprietary workflow rules, private source code, or internal system details.