Curriculum vitae
Download PDFExperience
Jun 2023 – present
Bioinformatics Scientist II
Children's Hospital of Philadelphia · Division of Genomic Diagnostics, Translational Bioinformatics · Philadelphia, PA
- Develop and clinically translate methods for structural and copy-number variant detection in clinical genome sequencing, working with clinical geneticists and genetic counselors to improve diagnostic yield in rare pediatric disease.
- Built the bioinformatics function for CHOP's Undiagnosed Disease Program and co-designed its automated case workflow (data intake, DRAGEN processing, Emedgene prioritization) with the Arcus informatics team.
- Contribute to multi-omic and long-read diagnostic studies, including a genome–transcriptome re-analysis of Cornelia de Lange syndrome (npj Genomic Medicine 2026) and the WAFL long-read workflow (ACMG 2026 oral).
Jan 2022 – Jun 2023
Associate Data Scientist
MD Anderson Cancer Center · Houston, TX
- Led the computational analysis of exceptional responders to immune checkpoint inhibitors in renal cell carcinoma, integrating exome and RNA-seq data (Nature Cancer 2025, co-first author).
- Designed and validated pipelines to quantify human endogenous retrovirus expression from short- and long-read RNA-seq and applied them to lymphoma cohorts.
- Benchmarked long-read sequencing methods for isoform characterization, structural variant detection and antigen discovery.
Sep 2020 – Jan 2022
Bioinformatics Analyst
Dana-Farber Cancer Institute · Boston, MA
- Led the cross-trial validation of renal cell carcinoma molecular subtypes between two phase III trials using a random-forest classifier (Cancer Cell 2024, co-first author).
- Analyzed exome and RNA-seq data from more than 2,000 patients across clinical-trial cohorts and public datasets (TCGA, PCAWG).
- Containerized published pipelines and deployed them with WDL and Snakemake on GCP/FireCloud and AWS.
Jun 2019 – Sep 2020
Computational Biology Co-op
Novartis Institutes for BioMedical Research · Respiratory Disease Area · Cambridge, MA
- Ran differential expression and pathway enrichment analyses on time-course gene expression data from mouse models of cigarette smoke exposure, characterizing acute versus chronic response.
- Compared these signatures with COPD patient data to assess translational relevance and inform indication expansion for existing drugs.
- Built an interactive Spotfire dashboard for translational and drug discovery scientists to explore results.
Education
2018 – 2020
Master of Biotechnology
The Pennsylvania State University
2012 – 2017
M.Tech and B.Tech (dual degree), Biological Engineering, minor in Nanotechnology
Indian Institute of Technology Madras
Skills
- DataWGS, WES, bulk and long-read RNA-seq, scRNA-seq, spatial transcriptomics, ATAC-seq
- Variant analysisDRAGEN, GATK, MuTect2, Manta, CNVPytor, ABSOLUTE, FACETS, mutational signatures, Emedgene, IGV
- ImmunogenomicsHLA typing (POLYSOLVER), neoantigen prediction (NetMHCpan), TLS signatures, immune deconvolution (CIBERSORTx)
- Statistics and MLsurvival analysis, multivariable regression, random forest, scikit-learn, CNN transfer learning, PyTorch, AutoGluon
- ProgrammingPython, R, Bash, SQL, JavaScript
- InfrastructureWDL, Snakemake, Nextflow, Docker, Singularity, AWS, GCP/Terra, SLURM, LSF, Git
- AI-assisted developmentClaude Code for scaffolding, refactoring, tests and docs, with generated code reviewed and validated before use; LLM APIs (Gemini) behind a rate-limited proxy in the Training Log app
Honors
- Best Poster, Renal Cancer category, Kidney Cancer Association, ESMO 2023
- Oral presentation, ACMG Annual Clinical Genetics Meeting 2026
- Selected oral presentation, Kidney Cancer Research Summit 2022
Service and mentoring
- Invited peer reviewer: Nature Biotechnology, JCO Clinical Cancer Informatics, Scientific Reports, Therapeutic Advances in Medical Oncology
- Peer mentor for new hires in immunogenomics, MD Anderson Cancer Center (2022 – 2023)
Publications are listed on the publications page.