Stanford University
Showing 461-480 of 34,926 Results
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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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Naga Achyuth Reddy Ailury
Affiliate, Surgery - Plastic and Reconstructive Surgery
BioNaga Achyuth Reddy is a CIRM Bridges Research Scholar in the Hagey Laboratory at Stanford University School of Medicine under the mentorship of Dr. Michael T. Longaker. His journey to the United States marked the beginning of a new chapter, driven by a commitment to advancing his education and pursuing a career in biotechnology and regenerative medicine. Motivated by a strong interest in scientific research, he sought opportunities to develop the technical and analytical skills necessary to contribute to translational biomedical research.
To further these goals, Achyuth Reddy was selected for the highly competitive CIRM Bridges Stem Cell Technology and Laboratory Management (SCTLM) program at California State University Channel Islands. As a CIRM Bridges trainee, he participated in scientific conferences, outreach initiatives, and educational programs that broadened his understanding of stem cell biology and its impact on society. These experiences strengthened his appreciation for public engagement and the importance of advancing awareness of the transformative potential of stem cell research.
At Stanford, Achyuth Reddy conducts research focused on regenerative medicine, biomaterials, wound healing, and fibrosis. His work has provided extensive hands-on experience in stem cell and primary cell culture, murine animal models, biomaterials research, histology, Immunohistochemistry, confocal microscopy, protocol development, and translational research. He is passionate about bridging fundamental biological discoveries with clinical applications and enjoys working in a collaborative environment where scientific discoveries have the potential to improve patient care. In addition to conducting research, he actively develops experimental protocols, presents scientific findings, and collaborates with multidisciplinary teams to advance regenerative medicine. -
Izoduwa Aimiuwu
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
BioI 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.
