Lead bioinformatics scientist supporting multiple clinical and research groups with high-impact genomic, single-cell, and multi-omics studies.
Pipeline Innovation & Genomics: Designed and implemented automated pipelines to integrate small variants and structural variants for compound heterozygous detection in trio datasets, advancing precision medicine efforts in strabismus and nystagmus genetics.
Single-cell & Spatial Omics: Directed end-to-end scRNA-seq and spatial transcriptomics workflows, including QC, annotation, trajectory inference, and cell–cell communication. Analyzed immune scRNA-seq data from mouse pain models to generate injury-specific neuroimmune interactomes that inform therapeutic target prioritization.
Translational Neuroscience: Executed bulk and single-cell RNA-seq analysis of iPSC-derived cortical neurons, identifying dysregulated genes caused by chromosome 4 duplication linked to ocular disorders. Findings contributed to peer-reviewed publications and grant proposals.
Tool Development & Data Sharing: Spearheaded development of open-source R Shiny tools and packages, including AAOCA Reporter for cardiac imaging reports and scDown for single-cell analysis. Tools are now used across BCH and external collaborations.
Pipeline Development: Developed and optimized pipelines to process the RNA-seq, scRNA-seq, spatial, Hi-C, proteomics, WGS/WES, and DNA methylation on HPC.
Leadership: Mentored junior bioinformaticians and postdocs, organized bioinformatics workshops, and regularly presented results to clinicians, PIs, and cross-functional teams.
Publications & Grants: Contributed to 10+ manuscripts and provided bioinformatics support for NIH grant submissions.
Large-Scale Multi-omics Integration: Led the analysis of RNA-seq, WGS/WES, DNA methylation, protein-protein interactions, and DrugBank data from more than 40 rare cancers. Identified cancer-specific marker genes and druggable targets, advancing biomarker discovery for adenocarcinoma and neuroendocrine tumors.
Software Development: Designed and released MAFDash R package, an interactive dashboard generation package for mutation data visualization. Tool streamlined variant interpretation and reporting, improving collaboration between bioinformaticians and cancer biologists.
Pipeline Optimization: Standardized and scaled WGS/WES and bulk RNA-seq pipelines on NIH's HPC systems.
Collaboration: Acted as bioinformatics consultant to NIH PIs and research groups, providing study design support, troubleshooting, and statistical modeling.
Training & Mentorship: Conducted R package development workshops and trained junior analysts on reproducible pipelines.
Impact: Contributed to 3+ peer-reviewed publications, with direct influence on drug discovery pipelines and rare cancer research strategy at NCI.
Industry internship within Takeda’s computational biology group focusing on human microbiome and deep learning for therapeutic discovery
Applied ProtVec encoding and CNN-based deep learning models to human microbiome protein sequences, discovering novel protein subfamilies and putative functional domains relevant to therapeutic targeting.
Benchmarked new GPU infrastructure against existing compute resources, providing recommendations that improved performance of large-scale deep learning workflows.
Presented results to cross-functional computational biology and drug discovery teams.
Developed a cancer variant database leveraging the cBioPortal codebase for visualization and analysis of internal diagnostic variant data. Updated the database model to store and display company-specific custom information.
Deployed the cancer variant database on the internal server, enabling company-wide access.
Designed and implemented an automated variant calling pipeline for processing WGS/WES datasets using Bash and Python.
Worked as a Software developer in MEA (Medicare Enrollment Application) development team which develops products for the US healthcare companies. MEA caters to the need of the US healthcare companies to manage the client's eligibility and enrollment in Medicare to provide them its benefits. I worked on the Post Enrollment Module which consists of the transactions related to the disenrollment of the member from Medicare.
Worked as a Software developer in the application team of OnCall a video conferencing solution for Android Phones using SIP (Signal Initiation Protocol). The work includes the development of various features including Registration and Setting Pages, their interaction with the native methods defined in the JNI (Java Native Interface) layer, and handling application signals from the JNI and UI (User Interface).