Stanford University
Showing 1-50 of 2,722 Results
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Sajjad AbdollahRamezani
Postdoctoral Scholar, Ophthalmology
BioSajjad Abdollahramezani is a postdoctoral scholar in Professor Charles DeBoer’s lab in the Department of Ophthalmology at Stanford University. His research focuses on developing next-generation bioanalytical tools and implantable medical devices that integrate advanced optics, imaging, and AI to make healthcare more sustainable, precise, and accessible.
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Shahira Abousamra
Postdoctoral Scholar, Biomedical Data Sciences
BioShahira Abousamra is a Postdoctoral scholar in the department of Biomedical Data Science at Stanford University, working with Dr. Sylvia Plevritis at the Plevritis Lab. She earned her PhD in Computer Science from Stony Brook University in 2024 under the supervision of Dr. Chao Chen and Dr. Dimitris Samaras.
In her research, she integrates mathematical modeling with computer vision to create more robust solutions, particularly in the context of advancing cancer research and enhancing our understanding of the tumor microenvironment. She leverages computational topology and spatial statistics to provide spatial semantic grounding to complement machine learning models. She publishes in top computer vision, artificial intelligence, and medical image analysis conferences including CVPR, ECCV, ICCV, AAAI, and MICCAI. -
Ibrahim Oluwajoba Adisa
Postdoctoral Scholar, Education
BioIbrahim ('Joba) Adisa is a Human-Centered AI (HAI) Postdoctoral Fellow at Stanford's Graduate School of Education, collaborating with Dr. Victor Lee on advancing research to promote AI literacy in K-12 education. His research lies at the intersection of learning sciences, computing education, data science, and AI literacy. He focuses on developing tools and curricula resources that enhance data literacy and promote creativity, computational thinking, and collaborative problem-solving with AI in K-12 education. His research is often conducted through co-designs and partnerships in formal and informal learning environments. He uses qualitative and statistical machine learning methods to model learners' interactions in these environments.
'Joba completed his undergraduate studies at the Federal University of Technology Minna with an emphasis on cognitive science, physics, and mathematics. He earned a master's in educational technology from the University of Ibadan and obtained his doctorate in Learning Sciences from Clemson University, where he supported several NSF-funded projects in STEM, data science, and AI education. Before graduate school, he worked as a Digital Learning Specialist at Tek Experts, a global digital tech talent corporation. His diverse academic background underpins his innovative approach to educational research and instructional design. 'Joba has received numerous awards and honors throughout his academic career, including the Outstanding Graduate Researcher Award and fellowships from MTN Foundation, Caroline Odunola Foundation, Clemson University, and Stanford PRISM Baker. His publications span various high-impact journals and conferences, contributing to the fields of AI literacy, data science and computing education. -
Salaar Ahmed
Postdoctoral Scholar, Neurosurgery
BioSalaar Ahmed, MD, is a Postdoctoral Research Scholar in the Ramayya Lab within the Department of Neurological Surgery at Stanford University School of Medicine. His research focuses on the mechanisms and novel treatments of chronic and cancer-related pain, neuromodulation, disorders of consciousness, and global neurosurgery.
Dr. Ahmed earned his MD from Aga Khan University in January 2026, graduating summa cum laude, with a record 18 university awards and 15 honors. His early research focused on Diffuse Intrinsic Pontine Glioma (DIPG), pediatric neuro-oncology, and global neurosurgical outcomes under the mentorship of Dr. Ather Enam and Dr. Naureen Mushtaq. He also collaborated on research projects with investigators from the University of Minnesota, the University of Wisconsin–Madison, and Mayo Clinic Rochester.
Beyond his academic work, Dr. Ahmed served as President of the student wing of Child Protection Services (CPS) at Aga Khan University Hospital. As a high school student, he founded Masoom Jaan, a community initiative that positively impacted the lives of more than 1,000 children in Rahim Yar Khan, his hometown in Pakistan. He later co-founded the Student Neurosurgery and Oncology Research Consortium (SNORC), an international mentorship and research initiative that has connected medical students with neurosurgical faculty mentors and expanded access to research opportunities across multiple countries. In addition, Salaar has worked extensively on HIV stigma and public health research, focusing on the MSM and transgender communities, and continues to collaborate with investigators at Aga Khan University.
Dr. Ahmed has presented his work at numerous international scientific meetings, including the Congress of Neurological Surgeons (CNS), the American Association of Neurological Surgeons (AANS), the Society for Neuro-Oncology (SNO), and the International AIDS Conference. -
Tazbir Ahmed
Postdoctoral Scholar, Ophthalmology
BioDr. Tazbir Ahmed is a clinician-scientist with a focus on neuro-ophthalmology and vision science, bringing expertise in translational research, clinical trials, and medical education. He obtained his medical degree and licensure through the Bangladesh Medical and Dental Council and achieved board certification in Ophthalmology from the Bangladesh College of Physicians and Surgeons.
Motivated by a deep interest in ocular neurodegeneration, inflammation, and metabolic eye disorders, Dr. Ahmed pursued a PhD in Ophthalmology at the University of Tokyo School of Medicine. His doctoral research explored the use of biologics, ocular devices, and experimental models of inflammation to investigate retinal and optic nerve changes in glaucoma, optic neuropathies, and age-related visual decline.
Dr. Ahmed’s multidisciplinary research integrates preclinical disease models, neuroimaging, ocular histochemistry, omics technologies, and electrophysiological methods to elucidate mechanisms of visual pathway dysfunction. He also leverages data science tools to address key issues in ocular public health. -
Geun Ho Ahn
Postdoctoral Scholar, Electrical Engineering
BioI am a postdoctoral researcher at Stanford University, specializing in integrated photonics, material sciences, and computational optimization to develop innovative photonic-electronic systems for optical interconnects, metrology, and quantum science.
I earned my Ph.D. in Electrical Engineering from Stanford University, where I worked with Professor Jelena Vuckovic as a SGF fellow and FMA fellow on integrated photonics system through heterogeneous integration and photonic inverse design. -
Changzhi Ai
Postdoctoral Scholar, Photon Science, SLAC
BioChangzhi Ai is a Postdoctoral Researcher at the SUNCAT Center for Interface Science and Catalysis at Stanford University and SLAC National Accelerator Laboratory. He specializes in developing machine learning models for surface and interfacial chemistry, with broader expertise in atomistic modeling for materials science and chemistry. His research also explores agentic AI for scientific discovery, automation of active learning workflows, global optimization algorithms, and high-throughput materials screening. He obtained his PhD from the Technical University of Denmark.
His current research focuses on the development of scalable, physically informed machine learning potentials, particularly equivariant neural network architectures, for accurately modeling complex chemical environments. His work spans heterogeneous catalysis, multi-metallic alloy design, reaction kinetics, and surface and interfacial chemistry, with an emphasis on uncovering structure–property relationships at the atomic scale.
In addition, he has extensive experience integrating machine learning models into simulation pipelines and deploying them in large-scale computational environments. His technical expertise includes deep learning frameworks such as PyTorch, distributed training (DDP and multi-node GPU systems), and scientific computing tools including LAMMPS, ASE, and TorchScript/LibTorch for production-level deployment. He also develops end-to-end automated workflows for data generation, model training, and adaptive sampling in materials discovery.
Keywords:
Machine Learning Potentials (Equivariant GNNs), Atomistic Simulations, Molecular Dynamics, Active Learning & Workflow Automation, High-Throughput Screening, Global Optimization Algorithms, Scientific Machine Learning, Distributed GPU Computing, PyTorch & TorchScript, LAMMPS Integration, ASE, HPC Systems, Data-Driven Materials Discovery
Code & Projects:
GitHub: https://github.com/changzhiai -
Agnideep “Agni” Aich, PhD
Postdoctoral Scholar, Emergency Medicine
Current Research and Scholarly InterestsAgni's research develops interpretable statistical machine learning methods for clinical, biomedical, and population health data, with interests spanning dependence-aware learning and copula-based methods, extreme-event modeling, predictive modeling, supervised feature selection, and AI in healthcare. At the HEAL Lab, he analyzes clinical workflows and AI implementation to advance understanding of the human experience in healthcare, emphasizing practical, interpretable, human-centered outcomes.
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Meghali Aich
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioMy research interest lies in understanding how environmental factors contribute to neurodevelopmental disorders and translating those insights into therapies. Aligned with this, my current research in Dr. Anca Pasca’s lab at Stanford focuses on how reductive stress associated with maternal metabolic syndrome affects fetal brain development.
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Ali Akbarisehat
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsBiosensing, electrochemical sensing
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Franz Ake
Postdoctoral Scholar, Pathology
BioDr. Ake is a computational biologist specializing in single-cell transcriptomics, alternative polyadenylation, and isoform regulation. His research focuses on developing computational methods and bioinformatic pipelines to characterize post-transcriptional regulation and differential isoform usage at single-cell resolution. During his PhD under the mentorship of Dr. Mireya Plass at the University of Barcelona and the IDIBELL Research Institute in Barcelona, Spain, he developed approaches for isoform quantification and the analysis of differential isoform usage in single-cell datasets.
Currently, his research at Stanford University focuses on multi-omics data integration, with a particular emphasis on spatial transcriptomics and cancer genomics to study tumor biology, tissue heterogeneity, and disease-associated molecular programs from high-dimensional sequencing data. -
Soud Al Kharusi
Postdoctoral Scholar, Physics
Current Research and Scholarly InterestsExperimental/astrophysical probes of neutrinos, fundamental symmetries, and cosmological models.
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Haider Ali
Postdoctoral Scholar, Ophthalmology
BioHaider Ali, M.B., B.S. is a Postdoctoral Scholar in the Department of Ophthalmology at Stanford University School of Medicine. With over six years of experience in translational research, his work focuses on advancing innovations in retinal imaging, artificial intelligence, and digital health. He is particularly interested in developing technologies that bridge clinical innovation and real-world impact to improve vision care globally.
