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Leo Panda
Thesis focused on transcriptomic biomarkers and reproducible analysis pipelines for cancer genomics datasets.
Minor in Computer Science; graduated magna cum laude.
Bioinformatics Research Associate with 4+ years of experience analyzing next-generation sequencing data in academic and biotech settings. Skilled in Python, R, RNA-seq, and reproducible workflow development for translational research. Improved data processing efficiency, supported biomarker discovery, and delivered validated results for cross-functional scientific teams.
- Analyzed RNA-seq and whole-exome sequencing data from 180 tumor samples to identify expression signatures associated with treatment response across solid tumor cohorts.
- Developed reproducible Snakemake workflows and QC reports that reduced manual processing time by 35% and improved cross-study consistency for manuscript-ready datasets.
- Built and maintained RNA-seq and targeted DNA sequencing pipelines supporting preclinical oncology programs, reducing average analysis turnaround time from eight days to five.
- Partnered with scientists and statisticians to analyze 250 plus tumor and cell-line samples, generating differential expression and pathway insights for candidate prioritization.
- Automated sample metadata validation and quality control checks in Python, decreasing data entry discrepancies by 40% across internal sequencing submissions.
- Summarized bioinformatics results in technical reports and slide decks for research leadership, contributing to three program review decisions and two IND-enabling studies.
- Processed bulk RNA-seq, ChIP-seq, and clinical annotation data for immuno-oncology studies, supporting biomarker evaluation across retrospective patient cohorts.
- Wrote R scripts for statistical analysis and visualization, shortening recurring reporting cycles by 30% for principal investigators and collaborating clinicians.
- Coordinated with wet-lab staff to reconcile sequencing batch issues, improving successful downstream analysis rates from 88% to 96% within one year.
- Contributed curated datasets and methods documentation for two peer-reviewed publications and one national conference poster accepted during the appointment period.
- Designed a reproducible single-cell RNA-seq workflow for immune cell annotation and differential abundance analysis across 60 patient-derived tumor samples.
- Integrated Seurat-based clustering and automated QC thresholds, improving analyst consistency and cutting exploratory processing time by 28%.
- Delivered publication-ready figures and methods documentation adopted by two internal research teams for follow-on exploratory studies.
Co-authored 2 peer-reviewed publications in cancer genomics and translational bioinformatics as a contributing analyst.
Standardized version-controlled analysis templates adopted across 3 research teams, improving audit readiness and method traceability.
Presented biomarker analysis findings at a regional AACR meeting and received Best Poster Award among early-career researchers.
Native or bilingual proficiency
Genomic data analysis and computational methods certificate.
Biomedical research compliance and ethical conduct certification.
Leo Panda
Thesis focused on transcriptomic biomarkers and reproducible analysis pipelines for cancer genomics datasets.
Minor in Computer Science; graduated magna cum laude.
Bioinformatics Research Associate with 4+ years of experience analyzing next-generation sequencing data in academic and biotech settings. Skilled in Python, R, RNA-seq, and reproducible workflow development for translational research. Improved data processing efficiency, supported biomarker discovery, and delivered validated results for cross-functional scientific teams.
- Analyzed RNA-seq and whole-exome sequencing data from 180 tumor samples to identify expression signatures associated with treatment response across solid tumor cohorts.
- Developed reproducible Snakemake workflows and QC reports that reduced manual processing time by 35% and improved cross-study consistency for manuscript-ready datasets.
- Built and maintained RNA-seq and targeted DNA sequencing pipelines supporting preclinical oncology programs, reducing average analysis turnaround time from eight days to five.
- Partnered with scientists and statisticians to analyze 250 plus tumor and cell-line samples, generating differential expression and pathway insights for candidate prioritization.
- Automated sample metadata validation and quality control checks in Python, decreasing data entry discrepancies by 40% across internal sequencing submissions.
- Summarized bioinformatics results in technical reports and slide decks for research leadership, contributing to three program review decisions and two IND-enabling studies.
- Processed bulk RNA-seq, ChIP-seq, and clinical annotation data for immuno-oncology studies, supporting biomarker evaluation across retrospective patient cohorts.
- Wrote R scripts for statistical analysis and visualization, shortening recurring reporting cycles by 30% for principal investigators and collaborating clinicians.
- Coordinated with wet-lab staff to reconcile sequencing batch issues, improving successful downstream analysis rates from 88% to 96% within one year.
- Contributed curated datasets and methods documentation for two peer-reviewed publications and one national conference poster accepted during the appointment period.
- Designed a reproducible single-cell RNA-seq workflow for immune cell annotation and differential abundance analysis across 60 patient-derived tumor samples.
- Integrated Seurat-based clustering and automated QC thresholds, improving analyst consistency and cutting exploratory processing time by 28%.
- Delivered publication-ready figures and methods documentation adopted by two internal research teams for follow-on exploratory studies.
Co-authored 2 peer-reviewed publications in cancer genomics and translational bioinformatics as a contributing analyst.
Standardized version-controlled analysis templates adopted across 3 research teams, improving audit readiness and method traceability.
Presented biomarker analysis findings at a regional AACR meeting and received Best Poster Award among early-career researchers.
Native or bilingual proficiency
Genomic data analysis and computational methods certificate.
Biomedical research compliance and ethical conduct certification.
