RESEARCH
Sumeer Ahmad Khan, Ph.D., is a Research Scientist at the AI4BioMed Lab, King Abdullah University of Science and Technology (KAUST). He specializes in artificial intelligence, deep learning, and computational biology, with a particular focus on single-cell genomics and generative modeling. His research develops advanced computational models, including generative models for analyzing spatial transcriptomics and large language foundation models for genomics data. By applying denoising‑diffusion techniques and other deep generative approaches, he addresses key challenges in mapping, alignment, and representation learning for high‑dimensional single‑cell datasets. His work has earned top rankings in international competitions, such as the 2021 NeurIPS Open Problems in Single Cell Analysis, and publications in high-impact venues, including Nature Machine Intelligence, ICLR , NeurIPS, EMNLP, INTERSPEECH.

BIOGRAPHY
Sumeer earned his Ph.D. in Computer Science from Universiti Teknologi PETRONAS (Malaysia) and completed a four‑year post‑doctoral fellowship at KAUST before joining the AI4BioMed Lab as a Research Scientist in 2023. Previously, he conducted research with Luleå University of Technology (Sweden) on cellular‑automata reservoir computing for medical imaging and served as a research assistant at the Centre for Research in Data Science, UTP. He has authored 30+ peer‑reviewed papers spanning generative modeling, medical image analysis, and multimodal AI, and holds funded projects on foundation models for Arabic speech. Passionate about mentoring and teaching, he teaches graduate‑level machine‑learning courses and mentors MSc and Ph.D. students. His honors include the Erasmus+ mobility award, UTP GA Assistantship and KAUST Post‑Doctoral Fellowship.