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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.