Bioinformatics Intern (Machine learning)
EVA PHARMA
Total des années d'expérience :3 years, 6 Mois
-Carried out a meta-analysis to provide a review article on the scope’s literature.
-Solely in charge of machine learning and deep learning, leading to the achievement of novel
accuracy.
-Researching the current literature for coherent datasets to carry out the machine learning
modelling on (while ensuring search methodology is clear & reproducible).
-Presenting the team’s work in periodic meetings with company researchers and executives.
Reviewed course content, design, and content delivery methods with senior teaching assistant.
Held recap sessions for 50+ students before exams, resulting in significantly higher grades.
Improved learning efficiency by facilitating grading, lab task evaluation, and in-lab explanations.
Created a curriculum and presented lectures to attending students about the mathematical basis
and intuition behind multiple machine-learning models, starting with simple linear regression and
ending with deep learning optimizers (Gradient descent).
▪ Summa CumLaude (highest honors): 3.93 GPA (max =4.0) – 99th percentile – 8.0 IELTS. ▪ Bachelor Thesis: “MICRO-AIDDD: Microbiome-Based Artificial Intelligence Diagnosis of Degenerative Diseases – A Novel Clinical Software” – Won Best Graduation Project Award. ▪ Recipient of presidential honor from H.E. President of Egypt Abdelfattah Al-Sisi in recognition of academic excellence. ▪ Graduated in the top 10 students on the faculty of computer science and information technology.