I started as a pharmacologist and made a transition to computational biology and bioinformatics during my Ph.D. The focus of my Ph.D. was on exploring the potential vulnerability of Triple-negative breast cancer (TNBC), particularly in the DNA repair pathways. Having worked with various tools and techniques in genetics and structural biology, I obtained a unique blend of interests, including the use of machine learning algorithms to answer biological questions.
I enjoy teaching science and coding. That's why I co-founded a chapter of R-Ladies in Saudi Arabia (Dammam). I'm also a member in the MiR accessibility committee and a member in the R Weekly team. I used to be also a committee member in the British Science Association in the Merseyside (UK) and a STEM ambassador in Liverpool.
When I'm not coding, I'm embarking on an unplanned road trip exploring new places.
I occasionally write blog posts since it allows me to merge my love for writing with everything else I’m passionate about. I write about coding, deep Learning (ML) and try to simplify scientific concepts and make it easier to learn, understand and use, without sacrificing its power and usefulness.
Please fell free to contact me on firstname.lastname@example.org or using the following contact form.