Stanford University
Showing 481-500 of 36,993 Results
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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 statistical machine learning methods for analyzing complex, high-dimensional clinical, biomedical, and population health data. His work centers on predictive modeling, AI in healthcare, supervised feature selection, and dependence-aware methods, including copula-based approaches. At the HEAL Lab, his current focus is on analyzing clinical workflows and AI implementation in healthcare systems, with an emphasis on practical, interpretable, and 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.
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Raag Airan
Associate Professor of Radiology (Neuroimaging and Neurointervention) and, by courtesy, of Materials Science & Engineering and of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsOur goal is to develop and clinically implement new technologies for high-precision and noninvasive intervention upon the nervous system. Every few millimeters of the brain is functionally distinct, and different parts of the brain may have counteracting responses to therapy. To better match our therapies to neuroscience, we develop techniques that allow intervention upon only the right part of the nervous system at the right time, using technologies like focused ultrasound and nanotechnology.
