Stanford University
Showing 451-500 of 37,039 Results
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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. -
Zeeshan Ahmed
Associate Professor of Particle Physics and Astrophysics
BioI am an observational cosmologist, and an experimental physicist. I build ultra-low-noise detectors using superconducting and quantum sensing techniques, and use them in experiments and instrumentation for cosmology. I currently spend most of my time investigating the inflation paradigm of standard cosmology, using the cosmic microwave background (CMB). Recently, I've become interested in using the weak lensing of the CMB in conjunction with galaxy surveys to study the growth of large-scale structure in the universe.
I received my PhD in particle astrophysics from Caltech in 2012, working on direct detection of WIMP dark matter with the CDMS-II experiment. I then shifted my effort to searching for inflation with the CMB. I was a postdoctoral scholar at Stanford through 2015 before being appointed as a Wolfgang Panofsky Fellow at SLAC National Accelerator Laboratory. In 2017, I won a DOE Office of Science Early Career Award to work on new signal transduction and superconducting multiplexing techniques for next-generation CMB cameras. In 2020, I was appointed as a Lead Scientist at SLAC, and in 2023, I was appointed Associate Professor of Particle Physics and Astrophysics at Stanford and SLAC. I serve as CMB department head in the Fundamental Physics Directorate at SLAC. I also serve as scientific project manager for the bring up of SLAC's Detector Microfabrication Facility for the development of superconducting and quantum sensors and devices. -
Muhammad Ahmed Mohsin
Ph.D. Student in Electrical Engineering, admitted Winter 2025
BioI am a Ph.D. student @ Stanford advised by Dr. John Cioffi. I completed my undergraduate from NUST, Pakistan (2024). My research domain incorporates areas of Machine Learning, Reinforcement Learning and Wireless Communications.
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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. -
Hanna Ahn
Assistant University Archivist, Special Collections
Current Role at StanfordAssistant University Archivist
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So Hee "Naomi" Ahn
Casual, Medicine - Med/Family and Community Medicine
BioNaomi is a fourth-year medical student at Seoul National University, expecting to graduate in February 2024. She earned her bachelor's degree Summa Cum Laude from Washington University in St. Louis in December 2018, majoring in Biology and minoring in Chinese Language & Culture. Although she has quite a long way to go before becoming a compassionate physician-scientist, Naomi has accumulated many years of research and clinical experience in the field of medicine, ranging from the molecular level to the population level. Her research interests lie in genomics, psychosomatic medicine, and global health.
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T. M. Jensen Ahokovi
Graduate, Economics
BioI’m a predoctoral research fellow at the Stanford Institute for Economic Policy Research (SIEPR) and the STAX Lab (Stanford Initiative on Business, Taxation, and Society) at the Graduate School of Business, where I work with Professors Ran Abramitzky and Rebecca Lester.
My interests lie at the intersection of labor and urban economics, public finance, and economic history. I'm particularly interested in how labor markets and cities evolve over time—and how government interventions through taxation, regulation, and social programs shape both individual trajectories and broader economic outcomes.
Previously, I was a research assistant in the Economic Policy Studies department at the American Enterprise Institute (AEI), where I primarily supported the work of PhD economists and Senior Fellows Stan Veuger, Vincent Smith, and Paul Kupiec.
I earned my BA in the Quantitative Economics Concentration from the University of Hawai‘i at Mānoa in summer 2024. Before AEI, I held research roles at the University of Hawai‘i Economic Research Organization (UHERO), the Center for Entrepreneurship and Economic Education at Hawai‘i Pacific University, and the Grassroot Institute of Hawai‘i. I plan to pursue a PhD in economics and/or public policy in the near future. -
Neera Ahuja
Professor of Medicine (Hospital Medicine)
Current Research and Scholarly InterestsClinical inpatient trials, Quality improvement, Assessing interventions with operations on throughput. SDOH/Health equity
Medical education research; Intergenerational teaching/learning; Analysis of effects of duty hour regulations on housestaff training and ways to improve the system -
Gavin Ahumada
Undergraduate, Vice Provost for Undergraduate Education
BioHello! My name is Gavin Ahumada, and I am from Spokane Valley, Washington. I look forward to studying Political Science as a member of the Stanford University Class of 2030, and I am beyond excited to be involved in extracurricular activities like the Stanford Running Club, Debate, Student Leadership, and more. In my free time, I enjoy running, reading, playing pickleball, hiking, watching movies, and experiencing food runs with friends. Please do not hesitate to contact me, and come say Hello if you see me on campus!
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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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Alex Aiken
Alcatel-Lucent Professor of Communications and Networking, Professor of Particle Physics and Astrophysics, and of Photon Science
BioAlex Aiken is the Alcatel-Lucent Professor of Computer Science at Stanford. Alex received his Bachelors degree in Computer Science and Music from Bowling Green State University in 1983 and his Ph.D. from Cornell University in 1988. Alex was a Research Staff Member at the IBM Almaden Research Center (1988-1993) and a Professor in the EECS department at UC Berkeley (1993-2003) before joining the Stanford faculty in 2003. His research interest is in areas related to programming languages.
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Izoduwa Aimiuwu
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
Masters Student in Chemical Engineering, admitted Winter 2026BioI am a member of Dr. Jagjit Nanda's battery lab at the SLAC-Stanford Battery Center. My research primarily focuses on electrochemical performance of DRX-based lithium-ion batteries by optimizing slurry processing techniques for large-scale applications.
