Since 2025
PhD Student, Ron-Harel Lab
Technion, Israel Institute of Technology
I study immunometabolism and aging in the Ron-Harel Lab, combining experiments with lymph node stromal cells and T-cells with single cell and spatial analysis.
- Isolating and culturing lymph node stromal cells and working with stromal cell and T-cell cocultures.
- Using immunofluorescence staining and confocal microscopy to examine cultured cells and extracellular matrix, alongside flow cytometry for cell characterization.
- Developing computational workflows for single cell and spatial transcriptomics, including cell annotation and comparisons of gene expression across conditions.
- Stromal Cell Culture
- T-Cell Coculture
- Flow Cytometry
- Immunofluorescence
- Confocal Microscopy
- Single Cell RNA Sequencing
- Spatial Transcriptomics
Visit the Ron-Harel Lab ↗2024 to 2025
Research Associate II
Chan Zuckerberg Biohub SF
Built image analysis tools and contributed to single cell genomics and sequencing workflows at Chan Zuckerberg Biohub San Francisco.
- Developed a custom Cellpose model for zebrafish cell segmentation in MERFISH images of whole embryos.
- Created training and testing datasets for image segmentation, including an approach to selecting training images using Shannon’s entropy.
- Contributed to the Tabula Sapiens Rosetta Donor project by integrating isoform information with single cell gene expression analyses.
- Performed sequencing workflows on MiSeq, NextSeq, and NovaSeq, including quality control, demultiplexing, and data delivery through AWS.
- Cellpose
- MERFISH
- Single Cell Genomics
- Sequencing QC
- AWS
Visit Biohub Genomics ↗2023 to 2024
Master's Research
UC Santa Cruz Genomics Institute
Combined image segmentation and spatial gene expression analysis in a human breast cancer model for my master’s research.
- Developed a custom Cellpose 2.0 segmentation model for a public Vizgen MERSCOPE breast tumor dataset.
- Used Scanpy and Squidpy to explore cell type distributions, clustering, and spatial gene expression patterns.
- Connected cell boundaries identified from images with transcriptomic analysis in an exploratory study of a single specimen.
- Cellpose
- MERSCOPE
- Scanpy
- Squidpy
- Python
Visit UCSC Computational Genomics Lab ↗2022 to 2023
CRISPR Therapeutics Internships
CRISPR-X (2023) & Autoimmune (2022)
Completed two consecutive internships at CRISPR Therapeutics studying targeted DNA integration and CAR T-cell optimization.
- 2023
- Investigated integration of double stranded DNA with 3′ overhangs using CRISPR/Cas9, then assessed editing outcomes through sequencing.
- Worked on promoterless GFP integration in T-cells and evaluated editing with flow cytometry.
- 2022
- Studied variations in costimulatory domains in CAR T-cells and their effects on cancer cell targeting.
- Evaluated experimental outcomes with flow cytometry and digital droplet PCR (ddPCR).
- CRISPR/Cas9
- T-Cell Culture
- Flow Cytometry
- ddPCR
- NGS
Visit CRISPR Therapeutics ↗Research Interests
I enjoy work that connects experimental questions with computational analysis. If your interests overlap with immune metabolism, single cell biology, or spatial analysis, get in touch.