Stanford University
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Nicolo Danna
Postdoctoral Scholar, Applied Physics
BioSince his master’s and PhD at ETH, Nicolò D’Anna’s research has been dedicated to understanding and controlling quantum states of matter in low-dimensional solid-state systems. During his PhD he specialized in ultra-low-temperature magneto-transport to study dopant layers and structures in silicon for quantum computing. During his postdoc at UCSD, he focused on utilizing advanced coherent X-ray diffraction techniques to investigate metal-to-insulator transition switching in metal-oxides for neuromorphic applications. Currently, as an Urbanek-Chodorow postdoctoral fellow, he aims to achieve ultra-fast time-resolved optical interrogation and control of low-temperature quantum phases in synthetic stacked van-der-Waals systems, with a particular focus on magic-angle twisted bilayer graphene.
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Tamara Danoyan
Faculty Affairs Admstr 3, H&S Dean's Office
Current Role at StanfordFaculty Affairs Administrator
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Amy D. Blake-Iranon, MSML
Adm Svcs Admstr 1, OHNS/Research Division
Current Role at StanfordPediatric Otolaryngology Division and Research Administrator
Clinician-Scientists Training Program Coordinator -
Muhammad Najam Dar
Affiliate, Ophthalmology Research/Clinical Trials
BioDr. Muhammad Najam Dar is affiliate researcher at Stanford University and specializing in electrophysiological signal-based ophthalmological solutions. He holds a Ph.D. in Computer Engineering from the National University of Sciences and Technology (NUST), Pakistan, and was awarded the prestigious Erasmus Mundus Fellowship for his doctoral research at City, University of London, United Kingdom.
With a strong interdisciplinary foundation in biomedical signal and image analysis, computer vision, and deep learning, Dr. Dar has made significant contributions to both academia and industry. His research focuses on developing cutting-edge AI-driven diagnostic tools, wearable smart device signal processing, and systemic workflow optimizations for healthcare applications. His work integrates machine learning, medical imaging, and human-centered design to advance next-generation ophthalmological and biomedical solutions.
Beyond research, Dr. Dar has extensive experience in teaching, mentorship, and academic leadership, fostering innovation in AI-driven healthcare among the next generation of engineers and scientists. His ability to bridge theoretical knowledge with real-world applications makes him an invaluable asset in advancing biomedical engineering, artificial intelligence in healthcare, and translational research. Dr. Dar aims to become a leader in AI-driven healthcare solutions by advancing cutting-edge research, fostering industry collaborations, integrating design thinking into innovative medical technologies, mentoring and inspiring students and peers, empowering them to to drive transformative advancements in healthcare and improve lives globally.
