Wail Baalawi
About Wail Baalawi
Wail Baalawi is a computational scientist and co-founder/CTO at Sci-Insights AI, with a strong background in bioinformatics and biomedical informatics. He has held various positions in research and development, including roles at the Broad Institute of MIT and Harvard and Princess Margaret Cancer Centre.
Work at Broad Institute
Wail Baalawi serves as a Computational Scientist at the Broad Institute of MIT and Harvard. He has been in this role since 2022, contributing to the institute's research initiatives. His work involves applying computational techniques to biological and medical data, leveraging his background in bioinformatics and biomedical informatics.
Current Role at Sci-Insights AI
Since 2022, Wail Baalawi has held the position of Co-founder and CTO at Sci-Insights AI. In this capacity, he plays a key role in the development of AI-driven solutions, focusing on the intersection of computational science and practical applications in various fields.
Previous Experience at Entrepreneur First
Wail Baalawi worked as a Founder in Residence at Entrepreneur First (EF) from 2020 to 2021. During his four-month tenure in Toronto, Ontario, Canada, he engaged with early-stage startups, providing guidance and support in their development.
Educational Background
Wail Baalawi earned his Doctor of Philosophy (PhD) in Computer Science from King Abdullah University of Science and Technology, where he studied from 2011 to 2016. He also holds a Master of Science (MS) in Computer Science from the same institution, completed between 2009 and 2011. His undergraduate studies culminated in a Bachelor of Science (BS) in Software Engineering from King Fahd University of Petroleum & Minerals, which he completed from 2003 to 2008.
Research and Technical Skills
Wail Baalawi possesses expertise in developing robust predictive models, with over four years of experience in data analysis. His skills include graph mining and link predictions within heterogeneous networks, enabling him to discover patterns and relationships in large datasets. He has also contributed to research initiatives during his internships at various institutions, including the Oxford e-Research Center.