𧬠Computational Biologist | π¨ Digital Artist | π¬ Postdoc @ University of Helsinki
- π― Specializing in cancer bioinformatics, synthetic lethality, and multi-omics data
- π§° Developer of research tools like SL-scan, APSiC, NIMAA, CoPISA
- π Building visualizations with Shiny, igraph, and Dash
- πΏ Passionate about open science, reproducibility, and scientific communication
- β¨ Also making soothing mini pottery videos with meditation music on Instagram
I'm excited to be an instructor for two hands-on online workshops organized by Physalia Courses:
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π― Beyond Beginner R: Advancing Your Coding Skills
ποΈ 27β30 May 2025 (Online)Git Repo (https://github.com/esnzgn/R_advanced)
π Designed for participants with basic R knowledge who want to level up their coding skills through practical, hands-on sessions.
π‘ Each session includes guided exercises and personalized support to overcome coding challenges and build confidence. -
π Data Visualization in R: From Data Wrangling to Interactive Plots
ποΈ 30 June β 2 July 2025 (Online)Git Repo (https://github.com/esnzgn/DataViz-R-Course)
π This 3-day workshop covers everything from tidy data wrangling to creating interactive dashboards using ggplot2, plotly, and shiny.
π‘ You'll leave with reusable templates, R scripts, and the confidence to visualize complex data with elegance and clarity.
π Iβm currently customizing my course materials to match my teaching style and will soon publish the repository on my GitHub for students and collaborators.
I was recently invited as a mass spectrometry data analysis instructor for the course MS-Prot 2025, organized by the Doctoral Program in the Faculty of Medicine, University of Helsinki.
This repository contains the teaching materials for the 5th session of the course, titled βHow Does MS Work?β, which I taught on April 24, 2025. The session introduced the core principles and instrumentation of mass spectrometry.
π Location: Biomedicum 1, Room kok.3
π Slides: View in this repository
π Course repository: github.com/esnzgn/MS-PROT
- π§ͺ PepBind β Predicting peptide-compound interactions using thermal proteome profiling
- π§ͺ ProteomiXplorer β A dashboard to explore data from the landmark study "Quantitative Proteomics of the Cancer Cell Line Encyclopedia"
https://ehsan-zangene.shinyapps.io/ProteomiXplorer/ - π StatVisuals β Interactive tutorials on stats & probability (R + Python)
- π³ CookWise β Daily recipe recommender powered by ingredient-based Shiny app
https://ehsan-zangene.shinyapps.io/CookWise/ - πΊοΈ Explore Helsinki β City explorer with map, travel modes & personalized filters
- π€ ModelMentor β Demystifying Machine Learning Side-by-Side with R and Python
- 𧬠DORSSAA β An app to explore experimental targets of the drugs
https://dorssaa.it.helsinki.fi/ - π¬ PepMod β In silico digestion and phosphorylation simulation tool for UniProt proteins
https://ehsan-zangene.shinyapps.io/PepMod/ - π§° Other Apps β Need access to apps not listed? Message me to get source code or temporary online versions https://apsic.scicore.unibas.ch/
Languages
Frameworks & Tools
Data Science & Bioinformatics
Database & DevOps
Writing & Docs
"Turning messy biological data into clean, actionable insights β one line of code at a time."