Track record
Work experience
Research positions and engineering roles across labs and companies where I've built tools, run experiments, and chased questions
Computational biology and single-cell genomics projects spanning computer vision, spatial transcriptomics, and sequencing workflows
- Designed and implemented a custom Cellpose-based zebrafish cell segmentation model, increasing the F1 score from 53% to 85%
- Developed novel methods to generate training/testing datasets from whole-embryo MERFISH images, including a new strategy to select training data using Shannon’s entropy
- Contributed to the Tabula Sapiens Rosetta Donor project by integrating isoform-level information with single-cell gene expression analyses
- Performed high-throughput sequencing workflows (QC, MiSeq, NextSeq, NovaSeq) and post-run analysis, including demultiplexing and AWS-based data delivery
Spatial transcriptomic analysis of a human breast-cancer model using a custom Cellpose 2.0 model
- Developed a custom Cellpose 2.0 model for spatial transcriptomic data analysis, achieving precision and recall of 84% and 90%
- Identified critical gene expression patterns in a human breast cancer model through spatial differential analysis, revealing insights into the tumor microenvironment
- Visualized spatial distributions and performed clustering analyses (UMAP) using Squidpy and Scanpy
Two consecutive internships at CRISPR Therapeutics on knock-in efficiency and CAR-T optimization
- 2023
- Led a project on 3’-overhang dsDNA integration, significantly boosting CRISPR/Cas9 knock-in efficiency, validated by NGS
- Optimized T cell editing by integrating promoterless GFP transgenes and analyzed results with flow cytometry
- 2022
- Enhanced CAR-T cell performance by analyzing costimulatory domain variations and improving targeting efficiency
- Evaluated cancer cell targeting outcomes using advanced flow cytometry and digital droplet PCR (ddPCR)