The Technology Innovation Institute (TII) in Abu Dhabi has launched a Biofoundry to advance R&D in synthetic biology, focusing on genetic engineering, metabolic engineering, and bioinformatics. The facility features high-throughput robotic systems, next-generation sequencing, and advanced computational tools. TII's Biofoundry is now part of the Global Biofoundry Alliance (GBA) to foster partnerships and address shared challenges. Why it matters: This initiative positions the UAE as a key player in synthetic biology, with potential breakthroughs across healthcare, agriculture, and environmental sustainability.
Fatima Ali AlNuaimi from the Autonomous Robotics Research Center (ARRC) had two research papers on brain-computer interface (BCI) technology published at the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022. The papers are titled “Real-time Control of UGV Robot in Gazebo Simulator using P300-based Brain-Computer Interface” and “Secure Password Using EEG-based BrainPrint System: Unlock Smartphone Password Using Brain-Computer Interface Technology”. AlNuaimi is recognized as a young Emirati scientist advancing BCI knowledge in the UAE. Why it matters: This highlights growing BCI research capabilities in the UAE and the contributions of Emirati researchers to this emerging field.
KAUST and Abdulrahman Nasser Alagil Sons Foundation (Jarir Investment) have signed an MoU to establish an endowment supporting AI and bioinformatics training programs at the KAUST Academy. These programs target undergraduate students across Saudi Arabia. The endowment aims to develop curriculum, provide resources, and expand training opportunities. Why it matters: This partnership aligns with Saudi Vision 2030's goals of advancing R&D, promoting innovation, and building national AI capabilities.
KAUST Academy is launching training programs in AI, bioinformatics, and renewable energy to help position Saudi Arabia as a global leader in these fields. Over 1,500 students from Saudi universities will participate in the programs, which align with Saudi Vision 2030 goals. The programs are in collaboration with strategic partners like NTDP, the Al-Aqeel Foundation, KACARE, and the Saudi Women and Energy Association. Why it matters: The initiative aims to cultivate local talent and build a knowledge-based economy in Saudi Arabia, addressing future needs in critical technology sectors.
KAUST Academy concluded its second cohort, attended by H.R.H Prince Saud bin Mishaal, showcasing 67 projects in AI, cybersecurity, and bioinformatics. The program included virtual courses for 7,000 students, in-person training for 2,800, and scholarships for 200 at institutions like Oxford, Toronto, and KAUST. Professor Sultan Albarakati highlighted KAUST's commitment to world-class education through global partnerships. Why it matters: This initiative addresses Saudi Vision 2030's goal of building a skilled national workforce in critical technology sectors.
KAUST alumnus Yu Li was named in Forbes' 30 Under 30 Asia List for his work developing algorithms to solve problems in biology and healthcare. Li, now an assistant professor at CUHK, was recognized for his computational tools to identify antibiotic-resistant genes. His research focuses on computational biology, human health, biomolecular structure prediction, and AI-driven drug discovery. Why it matters: This recognition highlights the impact of KAUST's programs in fostering AI talent in the region, particularly in the growing field of bioinformatics and healthcare.
KAUST Professor Takashi Gojobori has been elected as a Fellow of the International Society for Computational Biology (ISCB). ISCB is a scholarly society for computational biology and bioinformatics. Gojobori's research interests include comparative genomics and gene expression of neural cells, as well as the marine metagenomics of microorganisms. Why it matters: The recognition highlights KAUST's contributions to computational biology and bioinformatics and strengthens its position as a research hub in the region.
KAUST Professor Xin Gao, lead of the Structural and Functional Bioinformatics Group, advocates for interdisciplinarity in academic research, specifically merging AI and bioinformatics. Gao, formally trained in computer science with no formal biology training, integrated biological knowledge independently. At KAUST, he synchronized bioinformatics, machine learning, and AI, despite the challenges of dividing efforts between disciplines. Why it matters: Gao's success highlights the growing importance of interdisciplinary approaches in AI research, particularly in bridging computational methods with specialized domains like biomedicine to drive innovation.