Mohamed Abdelfattah

Mohamed Abdelfattah is a leading academic and entrepreneur in the field of AI systems, with a deep focus on hardware-software codesign and optimizing GPU computing efficiency. As an Assistant Professor at Cornell University and Cornell Tech, his research aims to develop next-generation machine-learning-centric computer systems for both data centers and mobile devices. Concurrently, he co-founded Mako, a startup dedicated to creating AI-native infrastructure that automates GPU kernel generation and tuning to make AI systems faster and more cost-effective. cornell+3

His expertise is rooted in a strong academic background, including a Ph.D. from the University of Toronto where his work on embedded networks-on-chip for FPGAs earned multiple best paper awards and was adopted by semiconductor companies. This academic rigor is complemented by significant industry experience at Intel's programmable solutions group and Samsung, where he led a research team in hardware-aware automated machine learning. cornell+2

Mohamed's entrepreneurial journey with Mako directly addresses critical infrastructure challenges in AI. The company's work on automating GPU code optimization is a practical extension of his academic research, providing solutions for more efficient and scalable AI deployment across various hardware environments. His ability to bridge cutting-edge research with real-world industry needs is a hallmark of his professional identity. cornell+2

Beyond his professional endeavors, Mohamed Abdelfattah has a diverse personal background, having lived in Egypt, Germany, Canada, and the UK before settling in New York City. He has a passion for cycling and is a former national water polo champion in Egypt, highlighting a blend of intellectual pursuits and athletic achievements. mohsaied