With over 15 years of experience in Bioinformatics research, I'm passionate about leveraging computational approaches to drive breakthroughs in drug discovery and personalized medicine. Currently leading informatics & machine learning applications at Juvena Therapeutics, focusing on therapeutic discoveries in aging, cancer, and immunology.
- 🔭 Currently working on ML-based multi-omics integration for therapeutic discovery
- 🌱 Expertise in NGS analysis, cloud computing, and machine learning
- 👥 Collaborating with cross-functional teams of scientists and engineers
- 📝 Serving as a reviewer for prestigious journals including Bioinformatics and Scientific Reports
- Developed ML-based ranking strategy combining imaging, transcriptomic, and proteomics data
- Identified disease-modifying therapeutics for pulmonary and metabolic conditions
- Integrated multiple data modalities to enable comprehensive drug discovery
- Established Nextflow pipelines on Google Cloud Platform
- Analyzed RNAseq, scRNAseq, and Proteomics data at scale
- Optimized for cost-efficiency and reproducibility
- Identified monitoring and predictive biomarkers for clinical trials
- Integrated plasma proteomic and RNAseq studies
- Supported lead molecule development for Phase-1 trials
Selected Publications:
- "Epigenetic signature of PD-1+ TCF1+ CD8 T cells that act as resource cells during chronic viral infection and respond to PD-1 blockade" - PNAS (212+ citations)
- "Single-cell analysis of circulating tumor cells identifies cumulative expression patterns of EMT-related genes in metastatic prostate cancer" - The Prostate (289+ citations)
- "PD-1 combination therapy with IL-2 modifies CD8+ T cell exhaustion program" - Nature (201+ citations)
At Juvena Therapeutics, I:
- Lead informatics & machine learning applications across platform and assets
- Established in-house sequencing core facility
- Built visualization tools and data management architecture
- Mentor data science team members and collaborate across functions
