eSupervisor Detail

About me

Ph.D. with 5+ years of industrial R&D and advanced bioinformatics experience. I specialize in computational biology, data science, and pipeline engineering, with 5 registered patents in molecular assay translation. Proven track record in replicating high-complexity scRNA-seq pipelines and benchmarking foundation models. I offer structured guidance to students in research methodology, scientific writing, OOP (Python/R), and multi-omics data wrangling to help publish high-impact papers.

Interests: My research focus lies at the intersection of computational biology and machine learning. Specifically, I am interested in: 1. High-throughput single-cell and spatial transcriptomics data harmonization and processing pipelines. 2. Benchmarking and systematic evaluation of generative biological foundation models (scFMs) under simulated perturbations. 3. Translating complex multi-omics data arrays into actionable diagnostic insights and industrial assay development. 4. Resilient pipeline engineering and defensive data auditing for reproducible science.