I am Edo, a PhD researcher at the University of Vienna, where I get to explore the fascinating intersections of microbiology, data analytics and computational biology. My work revolves around making sense of complex environmental microbiology data.
See my data visualization portfolio here.
See also my photography portfolio here.
Download my resumé.
PhD in Microbiology and Env. Science, 2024-Present
Universität Wien
MSc in Biology, 2021-2023
Institut Teknologi Sepuluh Nopember
BSc in Biology, 2018-2022
Institut Teknologi Sepuluh Nopember
Data wrangling and manipulation (tidyverse), data visualization (ggplot2, plotly), reporting (Rmarkdown, Bookdown, blogdown), and base R
Basic algebra and mathematics, data distribution, data analytics, hypothesis testing, and probability
Portrait, landscape, architecture, interior, and product
A mini mentoring project for undergraduate student, the overall goal of the mentoring project is to provide guidance and support to students in their academic and personal development. The objective of the project is to help students navigate their undergraduate years successfully and provide them with the resources they need to succeed in their chosen field of study.
The Mangrove Sister School program is one of the programs that provides educational value to the surrounding community in the context of a mangrove restoration program with the Coastal and Marine Biodiversity Reserve concept which has been held by Pertaminas EP and Agrie Conservation in Lembung Paseser.
The research project on biodiversity assessment in Alas Karetan forests aims to comprehensively analyze the ecological diversity within forest ecosystems. Utilizing advanced techniques such as remote sensing, and ecological modeling. The study explores flora and fauna present in diverse forest habitat by evaluating species richness, and ecological interactions
Welcome to the computational microbiology, a key component of our Microbial Systematic course. This project aims to provide students with a hands-on experience in studying and understanding the vast world of microbial life. This project will enhance your knowledge of microbial taxonomy, classification, and identification.