MBZUAI hosted a Single Cell Summer Workshop, gathering over 25 participants and speakers to explore single-cell omics data. The two-day event featured three workshops, nine talks, and networking opportunities, aiming to develop bioinformatics skills and strengthen the regional ecosystem. Workshops were led by Eduardo Beltrame (MBZUAI), Mariano Gabitto (Allen Institute), and Luke Zappia (Data Intuitive), covering topics like scvi-tools, multimodal machine learning, and benchmarking. Why it matters: This workshop signifies MBZUAI's commitment to advancing bioinformatics research in the UAE and fostering collaboration within the regional scientific community.
MBZUAI's Computational Biology department hosted the first Data Carpentry workshop in the UAE, a global initiative focused on foundational data science skills for researchers. The workshop included 35 participants from academia and industry, covering topics like data tidiness, cloud computing, command lines, and data wrangling. 70% of the participants were female, and several were Emirati nationals. Why it matters: This initiative addresses the growing need for computational skills in genomics research, bridging the gap between wet lab experiments and data analysis for scientists in the UAE.
MBZUAI's Assistant Professor of Computational Biology, Eduardo Beltrame, is researching single-cell RNA sequencing to advance personalized medicine. He is also designing MBZUAI’s new master’s and Ph.D. programs in computational biology, set to launch in 2026, under the guidance of Professor Eran Segal. MBZUAI's research agenda includes foundational initiatives like AIDO and the Human Phenotype Project, leveraging vast datasets such as the Emirati Genome Project. Why it matters: This highlights MBZUAI's commitment to cutting-edge research and education in computational biology, positioning it as a potential rival to top global institutions in the field.
KAUST researchers organized a week-long workshop on bioinformatics, covering genomics and transcriptomics data analysis. The workshop targeted students, postdocs, and senior researchers, providing hands-on training in coding and analysis using tools like R, Python, and shell scripts. Attendees with little prior computational biology experience were introduced to fundamental concepts and tools for handling large sequencing datasets. Why it matters: The workshop addresses the increasing need for bioinformatics expertise at KAUST and in the region, crucial for advancing research in fields like evolution and complex diseases.
A talk discusses the challenges of single-cell data analysis, such as feature sparsity and the effects of rare cells. AI/ML strategies are uniquely positioned to model this data. ImYoo, a startup founded in 2021, is applying single-cell model architectures for unsupervised discovery of patient groupings and predicting sample-level phenotypical data in autoimmune disease. Why it matters: This highlights the growing application of AI/ML in analyzing single-cell data for population-scale human health studies, an area ripe for innovation and improvement in the Middle East's growing biotech sector.