I'm a PhD candidate specializing in computational biology and data science, currently researching cell migration dynamics using zebrafish as a model system. I bridge the gap between biological research and data-driven insights, transforming complex biological phenomena into actionable data through advanced computational methods.
π¬ Current Focus: Analyzing in vivo cell migration patterns of zebrafish primordial germ cells (PGCs) as a model for amoeboidal migration
π― Goal: Leveraging data science to untangle how cells move in complex in vivo environments
- Deep Learning Segmentation: Cellpose & Segment Anything Model (SAM)
- Computational Vision & Feature Extraction
- scikit-image for biological image processing
- Fiji/Napari with JavaScript macro automation
- MATLAB for advanced image analysis (PIV)
- Cell Biology & Live Cell Imaging
- Microscopy & Advanced Imaging Techniques
- Molecular Cloning & Laboratory Techniques
- Bioinformatics & Statistical Analysis
Deep Learning-Based Cell Segmentation for Migration Analysis
- Implemented automated cell segmentation using Cellpose and Segment Anything Model (SAM)
- Developed preprocessing and postprocessing workflows for biological image analysis
- Integrated segmentation results with downstream migration tracking algorithms
- Achieved high-accuracy cell boundary detection for PGC migration studies
- Tech Stack: Python, Cellpose, SAM, scikit-image, OpenCV
Machine Learning for Biological Motion Analysis
- Developed computer vision algorithms to track and analyze zebrafish PGC migration patterns
- Implemented feature extraction techniques to quantify cell movement dynamics
- Built ML classification models to identify migration phenotypes
- Tech Stack: Python, scikit-image, pandas, XGBoost, matplotlib
FastAPI Service for Biological Image Analysis
- Created REST API for automated biological image processing workflows
- Integrated ImageJ/Fiji functionality for high-throughput analysis
- Implemented database storage for experimental metadata
- Tech Stack: FastAPI, Python, SQL, ImageJ macros
- π¬ Developing novel computational methods for analyzing cell migration dynamics
- π€ Building machine learning models to predict biological outcomes
- π Creating automated pipelines for high-throughput biological data analysis