- I have over 4 years of research experience in academia and industry.
- I enjoy building tools and deciphering complex, data-driven questions in biological systems.
- My background combines bioengineering, bioinformatics, and molecular biology, which allows me to move comfortably between biological questions and scalable data workflows.
I am interested in roles where I can contribute to:
- Multi-omics integration
- Machine learning for biological data
- Reproducible scientific computing
- Cloud/HPC-based analysis pipelines
Built spatial_analyser, a high-performance web application for interactive analysis and visualization of single-cell and spatial transcriptomics data. The platform provides rapid computational workflows with intuitive visualization interfaces, enabling researchers to explore complex biological systems at cellular resolution.
Highlights
- Developed a responsive web application for spatial transcriptomics data exploration
- Implemented high-performance Python backend for rapid data processing and statistical analysis
- Designed interactive HTML/JavaScript frontends for multi-dimensional data visualization
- Built workflows to handle large-scale single-cell and spatial datasets efficiently
- Integrated visualization tools for spatial coordinate mapping and gene expression analysis
- Optimized data pipeline for real-time interactive analysis and rapid insights generation
Tech: Python HTML Web Application Spatial Transcriptomics Single-Cell Analysis Data Visualization Interactive Analytics Bioinformatics
Developed a comprehensive tool for visualizing and interpreting gene regulatory networks (GRNs). This project enables researchers to explore complex regulatory relationships between genes, providing insights into biological mechanisms and system-level behavior through sophisticated graph visualization and analysis.
Highlights
- Built a Python-based tool for GRN graph construction and analysis
- Implemented network visualization algorithms for complex biological networks
- Designed a scalable architecture to handle large-scale regulatory network data
- Created interactive visualization components for exploring gene-gene regulatory relationships
- Developed computational workflows for network analysis and topology characterization
- Engineered solutions for visualizing multi-level regulatory hierarchies and feedback loops
Tech: Python Network Analysis Graph Visualization Gene Regulation Systems Biology Bioinformatics Data Structures Computational Biology
Completed original research in computational cancer biology as part of Prof. Mohit Kumar Jolly's "Cancer Systems Biology" lab at IISc, Bengaluru. The thesis explores systems-level understanding of cancer dynamics through computational modeling, statistical analysis, and data-driven insights.
Highlights
- Conducted comprehensive computational analysis using Jupyter Notebooks for reproducible research
- Implemented statistical models and bioinformatics workflows in R for data analysis
- Developed sophisticated visualizations for complex biological systems and mechanisms
- Performed large-scale data processing and interpretation for cancer biology datasets
- Integrated computational and experimental insights for systems-level understanding
- Maintained rigorous documentation and reproducible computational workflows throughout research
Tech: Jupyter Notebook R Statistical Analysis Cancer Biology Systems Biology Computational Biology Data Science Scientific Computing IISc Bengaluru Research
I combine biology expertise with strong software engineering practices, making me ideal for bioinformatics and research software roles.
- Biology & Domain Knowledge: Genomics, transcriptomics, structural biology, molecular biology
- Software Skills: Clean code, documentation, testing, maintainable tools
- Scalable Computing: HPC, SLURM, Docker, AWS, large-scale data processing
- Collaboration & Communication: Cross-disciplinary teamwork, technical writing, presentations
Interested in: Bioinformatics | Computational Biology | ML for Biology/Healthcare | Research Software Engineering
- GitHub: github.com/Anjaney10
- LinkedIn: linkedin.com/in/anjaneyj
Credits: Adapted from https://github.com/misaell2/misaell2