Ali Ezzat, PhD

Ali Ezzat, PhD has a diverse work experience in the field of data science and research. Ali most recently served as the Chief Data Scientist at Synapse Analytics, where they led teams of data scientists and supervised data science projects. Their responsibilities included writing proposals, attending client meetings, and planning project execution. At Synapse Analytics, Ali worked on a healthcare project, serving as a data consultant for the marketing campaign of a startup drug delivery service.

Prior to that, Ali worked as a Scientific Advisor at Dainanahan, an international team of data scientists. There, they were involved in planning research directions and software specifications in the domain of drug discovery. Ali worked on a main project called the DrugBank Parser.

Ali's work experience also includes their role as a PhD Researcher at Nanyang Technological University. During their time there, they focused on innovating machine learning algorithms to improve drug-target interaction prediction. Ali also supervised several BSc students in their graduation projects.

Additionally, Ali worked as a Research and Teaching Assistant at Bilkent University, where they collaborated on a project with the Swiss Institute of Allergy and Asthma Research. The project involved studying Next-Generation Sequencing (NGS) reads to determine genes associated with asthma.

Earlier in their career, Ali worked as a Software Engineer at United OFOQ. In this role, they were responsible for developing Java EE applications and adding functionality to company products. Ali also provided customer support and deployed software on-site. Ali worked on projects such as the Baggage Reconciliation System (BRS) and the OFOQ Talent Management System (OTMS).

Throughout their career, Ali has demonstrated expertise in data science, drug discovery, machine learning, and software development. Their work experience spans various industries and research domains.

Ali Ezzat, PhD, has an extensive education history in the field of computer science. Ali obtained their Bachelor of Science (BSc) degree in Computer Science from Ain Shams University from 2002 to 2006. Ali then pursued further studies and completed their Master of Science (MSc) degree in Bioinformatics at Nanyang Technological University Singapore from 2011 to 2012. Continuing their academic journey, they achieved a Doctor of Philosophy (Ph.D.) degree in Computer Science from the same university, Nanyang Technological University Singapore, from 2013 to 2018.

In addition to their formal education, Ali Ezzat has also obtained various certifications to enhance their skills and knowledge. Ali completed certifications such as "Verified International Academic Qualifications" from World Education Services, "Coding for Cloud 101," "Introduction to AWS," and "Introduction to Cloud Computing" from A Cloud Guru. Ali also acquired certifications in the field of big data and machine learning, including "Hadoop Platform and Application Framework," "Machine Learning Foundations: A Case Study Approach," and "Introduction to Big Data" from Coursera. Furthermore, they gained expertise in university teaching through the "University Teaching for Teaching Assistants" certification from Nanyang Technological University.

Overall, Ali Ezzat, PhD, has a strong educational background in computer science, with a focus on bioinformatics and cloud computing. Ali has continuously expanded their knowledge and skills through both academic programs and additional certifications.