Applied Mathematics
Statistics, Mathematical modeling & Mathematical physics
Programming
Mastered Python, also familier with R & bash, in addition to the basics of HTML, CSS & JS
Bioinformatics
Develop data pipelines and software tools, to help understanding biological data.
Machine Learning
Apply ML algorithms on huge data sets to train models capable of making predictions.
Microscopy
Bright field, Phase contrast, Epifluorescence, TIRF & RICM
Wet lab
Cell culture, Immunolabeling, Sterile techniques & Model membrane fabrication