Focus Areas
Multi-Omics Integration & Analysis
- Multi-modal omics data integration (genomics, transcriptomics, proteomics, metabolomics, lipidomics)
- Network inference of metabolic regulation
- Biomarker discovery and validation
- Disease mechanism characterization
- Interactive data visualization platforms
Computational Drug Discovery
- Drug mechanism-of-action prediction and validation
- High-throughput molecular docking and molecular dynamics simulations
- Generative AI for drug candidate optimization
- Protein-small molecule interaction profiling
- Cheminformatics and conserved chemical substructure analysis
Mass Spectrometry & Metabolic Analysis
- End-to-end LC-MS proteomics and metabolomics pipelines
- Untargeted metabolite profiling and identification
- Natural product characterization and annotation
- Metabolic flux analysis and metabolic tracing
- Automated mass spectral deconvolution and annotation
Machine Learning & AI Applications
- Contrastive learning algorithms for protein structure evaluation
- Multi-omics ML integration for gene function prediction
- Deep learning for uncharacterized gene annotation
- Chemical reaction network modeling
- Scalable computational pipelines for HPC environments
Educational & Knowledge Transfer
- Customized bioinformatics and computational training for wet-lab scientists
- Technical workshop development and facilitation
- Data interpretation strategy and experimental design consultation
- Technology evaluation and implementation roadmapping
- Translating computational insights into experimental validation plans
Scientific Strategy & Market Research
- Competitive landscape analysis for therapeutic targets and technologies
- Intellectual property strategy and scientific due diligence
- Technical documentation for regulatory submissions
- Platform technology positioning and scientific marketing
- Strategic roadmap development for emerging therapeutic approaches