With a background in physics, electronics, and automated systems, I received extensive training in bioinformatics, computer science, and statistics. This diversely rich training opened the opportunity for me to work with the laboratory for personalized medicine (LPM), that I joined in 2013 through a Fulbright joint supervision doctoral grant, and where Dr. Peter Tonellato (PI), my Ph.D. thesis co-advisor gave me the opportunity to work on cutting-edge technologies and research questions. Throughout this year of exchange I developed thorough scientific research skills, excellent computational biology methods mastering and became a more independent researcher.
My research focuses on the development of high-throughput genomic data analysis workflows as well as developing breast cancer risk models for the Moroccan population. To resolve the increasing need of clinics in analyzing an increasing number of genomic data, especially data issued from next-generation sequencing, this data requires heavy computational skills and resources. To solve such issues, we developed COSMOS, a python library for massively parallel workflows and leveraged the power of the cloud computing infrastructures using the best practices. This approach allowed us to provide a very cost effective solution.
I also have a teaching experience that extends from instructing at different workshops, to TA-ship at Harvard Medical School through being in charge and teaching a whole module at the Mohamed Vth University.
Throughout my curriculum, I participated in organizing multiple workshops, such as the NCBI tools workshops series held in Morocco in partnership with the US National Library of Medicine, the introduction to Bioinformatics workshops series. In the last year I was also chosen as the RSG vice-chair for the African continent and named chair of the First African Students Council Symposium to be held in March of this year in Dar Es Salaam, Tanzania.