Name: | Sarah Al Abdullatif | |
PhD Year: | 2025 | |
Current Institution: | Emory University | |
Research Area: | DNA nanostructures |
Name: | Mohammed Alghadeer | |
PhD Year: |
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Current Institution: | University of Oxford | |
Research Area: | Superconducting quantum computing and condensed matter physics |
Name: | Shorooq Abdulrhman Alomar | |
PhD Year: | 2025 | |
Current Institution: | King Abdullah University of Science and Technology | |
Research Area: | Dynamics and energy transfer systems |
Name: | Omar Alshangiti | |
PhD Year: |
| |
Current Institution: | Oxford University | |
Research Area: | Scalable solutions for energy and industrial processes |
Name: | Akram Alwithenani | |
PhD Year: |
| |
Current Institution: | Harvard | |
Research Area: | High-throughput drug discovery and virus-based therapies for cancer |
Name: | Abdullah Hassan Bukhamsin | |
PhD Year: | 2025 | |
Current Institution: | King Abdullah University of Science and Technology | |
Research Area: | Invasive sensors for environmental and agricultural applications |
Name: | Abrar Aljahani | |
PhD Year: | 2024 | |
Current Institution: | King Abdullah University of Science and Technology | |
Research Area: | Quantum Technology |
Name: | Yara Alshwairikh | |
PhD Year: | 2025 | |
Current Institution: | Yale University, | |
Research Area: |
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Name: | Hanin Ahmed | |
PhD Year: | 2022 | |
Current Institution: | Centre for Anthropobiology and Genomics of Toulouse (CAGT) - CNRS | |
Research Area: | Population Genomics |

Name: | Abdulrahman Aldossary | |
PhD Year: | 2023 | |
Current Institution: | University of Toronto | |
Research Area: | Quantum Chemistry |
Name: | Wedyan Babatain | |
PhD Year: | 2022 | |
Current Institution: | Massachusetts Institute of Technology | |
Research Area: | Soft Interactive Electronics |
Name: | Tamadher Alghunaim | |
PhD Year: | 2019 | |
Current Institution: | Stanford University | |
Research Area: | Biological Sciences |
Name: | Rabab Alomairy | |
PhD Year: | 2022 | |
Current Institution: | Massachusetts Institute of Technology | |
Research Area: | High Performance Computing |
Rabab Alomairy is a computer science Ph.D. graduate working in the Extreme Computing Research Center at the King Abdullah University of Science and Technology (KAUST). Her research is centered around task-based numerical libraries and applications, performance optimizations for multicore/manycore architectures and hardware accelerators, dynamic runtime systems, GPU programming, machine learning, and artificial intelligence. She is selected as one of the rising stars in computational and data sciences by the US Department of Energy. She received the prestigious Gauss Award for Supercomputing of Excellence from ISC High-Performance Computing Conference, and KAUST Research Excellence Award for academic year 21/20. In the KAUST-NVIDIA workshop, she achieved 1st place in the Artificial Intelligence competition based on the geospatial dataset.

Name: | Emad Al Ibrahim | |
PhD Year: | 2023 | |
Current Institution: | Massachusetts Institute of Technology | |
Research Area: | Machine learning for spectroscopy and kinetics |
Emad received his bachelor's degree in Mechanical Engineering from the University of Washington in 2017 through the KAUST Gifted Student Program (KGSP) scholarship. He then moved to KAUST and earned a master's degree in 2018, where he worked on computational fluid dynamics. He then gained practical experience through internships at Saudi Aramco and Lucid Motors. He is pursuing a Ph.D. at KAUST, working with Professor Farooq on machine-learning applications in spectroscopy and kinetics.

Name: | Mohammed Aljohani | |
PhD Year: | 2023 | |
Current Institution: | University of Washington | |
Research Area: | Genome Engineering |

Name: | Mohammed Alsharif | |
PhD Year: | 2021 | |
Current Institution: | California Institute of Technology (Caltech) | |
Research Area: | Signal Processing |

Name: | Mohammad Aljubran | |
PhD Year: | 2024 | |
Current Institution: | Stanford University | |
Research Area: | Flexible power systems using reinforcement learning |

Name: | Samhan Alsolami | |
PhD Year: | 2022 | |
Current Institution: | Salk Institute | |
Research Area: | Human Aging - Neuroscience - Stem Cell Biology - Organoids |
Samhan is finishing up his Ph.D. at KAUST in the stem cell and regeneration laboratory under the supervision of Prof. Mo Li. His Ph.D. thesis focused on pluripotency, 3D embryo models, and the environmental regulation of cell culture. Now, he is pursuing his post-graduate studies with the Ibn Rushd fellowship at the Salk institute under the supervision of Prof. Fred H. Gage. His postdoctoral research will aim to reveal the mechanisms that drive human aging and possible ways to reverse them. Normal human aging is a progressive phenomenon that is associated with many human disorders. Finding approaches that reverse human aging will have a broad positive impact on improving human health span, both in Saudi Arabia and the world. He is planning is to utilize his extensive research experience in pluripotency, cellular fate reprogramming, and organoid research to advance our understanding of human aging.

Name: | Abdullah Salloum | |
PhD Year: | 2022 | |
Current Institution: | Massachusetts Institute of Technology | |
Research Area: | Materials, Energy, and Environment |
Abdullah completed his undergraduate studies in 2017 at MIT with a dual degree in Materials Science and Engineering and in Physics. He then moved to KAUST for his graduate studies, where he joined Prof. Osman Bakr’s group researching and developing computational and experimental works in solar materials and renewable energy solutions. Dr. Alsalloum is now a postdoctoral fellow at MIT, focusing on integrating data science methodologies to address tangible engineering challenges.

Name: | Abdullah Hamdi | |
PhD Year: | 2022 | |
Current Institution: | University of Oxford | |
Research Area: | Deep learning for 3D understanding and generationy |
Abdullah is a postdoctoral research fellow in machine learning and computer vision at the Visual Geometry Group of the University of Oxford with Prof. Andrew Zisserman and Prof. Andrea Vedaldi. Prior to that, he earned PhD and MS degrees from KAUST, working on 3D understanding with deep neural networks, advised by Prof. Bernard Ghanem. Abdullah was also partly advised by Prof. Matthias Niessner at TUM in 2022 in Munich. Abdullah is a lead organizer of the 3DMV workshop at CVPR and has won a “best paper award” at ECCV 2020, among other national and international distinctions. He is also the founder and president of fihm.ai, the largest Arabic online platform dedicated to teaching, educating, and spreading awareness about AI and deep learning technologies and applications.
Name: | Aljawharah Alrubayyi | |
PhD Year: | 2023 | |
Current Institution: | University of Oxford | |
Research Area: | Viral Immunology |
Aljawharah Alrubayyi is currently a PhD student in Clinical Medicine at University of Oxford. Her research interest is directed towards chronic viral infections (Human Immunodeficiency Virus, HIV) and emerging viral diseases (Severe Acute Respiratory Syndrome Coronavirus 2, SARS-CoV-2). Her doctoral research is focused on understanding the role of key immune cell components, with emphasis on Natural Killer (NK) cells, during acute HIV-1 and SARS-CoV-2 infections and their contribution to clinical outcomes. This represents a key step for the identification of novel targets that could aid the development of vaccine and therapeutics. Aljawharah received her bachelor’s degree from King Saud University (Riyadh, Saudi Arabia) and master’s degree from Georgetown University (Washington DC, United States).