Stanford University
Showing 20,501-20,520 of 34,967 Results
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Brando Miranda
Ph.D. Student in Computer Science, admitted Autumn 2022
BioBio
Brando Miranda is a current Ph.D. Student at Stanford University under the supervision of Professor Sanmi Koyejo in the department of Computer Science. Previously he has been a graduate student at University of Illinois Urbana-Champaign, Research Assistant at MIT’s Center for Brain Minds and Machines (CBMM), and graduate student at the Massachusetts Institute of Technology (MIT). Miranda’s research interests lie in the field of meta-learning, foundation models for theorem proving, and human & brain inspired Artificial Intelligence (AI). Miranda completed his Master of Engineering in Electrical Engineering and Computer Science under the supervision of Professor Tomaso Poggio – where he did research on Deep Learning Theory. Miranda has been the recipient of several awards, including Most Cited Paper Certificate awarded by International Journal of Automation & Computing (IJAC), two Honorable Mention with the Ford Foundation Fellowship, Computer Science Excellence Saburo Muroga Endowed Fellow, Stanford School of Engineering fellowship, and is currently an EDGE Scholar at Stanford University.
About me (Informal)
I am a scientist and an engineer that is interested in moving forward the powerful and beautiful field of A.I. closer to true Artificial General Intelligence (AGI). I believe an important direction is understanding how to combine cognitive and neuro-inspired models, specially investigating how reasoning and learning work together. In addition, I also believe being able to adapt to new tasks using prior experience and knowledge is crucial for AGI to occur. Consequently, I decided to pursue a Ph.D in AI and machine learning. I currently work on meta-learning and machine learning (ML) for Theorem Proving (TP) at Stanford University. -
Christina Maria Miranda
Resident in Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development
BioI am a Medical Degree candidate at Stanford University. I am originally from Milford, New Jersey. In 2021, I graduated with a bachelors degree in Neuroscience from the University of Pennsylvania. I am interested in pursuing a career in eating disorder treatment and research. I am also the co-founder and CEO of a Philadelphia-based 501(c)(3) nonprofit organization called Body Empowerment Project. We deliver educational workshops related to body image and self-esteem to Philadelphia public school students using a near-peer mentorship model and a validated body-positive curriculum.
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Eduardo Miranda
Professor of Civil and Environmental Engineering
Current Research and Scholarly InterestsRegional seismic risk assessment, ground motion directionality
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Perla Garcia Miranda
Assistant Director, Scholar Funding, Knight-Hennessy Scholars
BioPerla Miranda García, Assistant Director of Scholar Funding for Knight-Hennessy Scholars (KHS)
Perla received her BA in Politics and Latin American and Latino Studies from UC Santa Cruz, MA in Latin American Studies from UT Austin, and her Master of Public Administration from San José State University. Perla has over 15 years of cumulative experience in student services from positions at the Society for Advancement of Chicanos/Hispanics and Native Americans in Science (SACNAS), the University of Texas at Austin, the University of California at Santa Cruz, and Stanford University. In all these roles, she has used her own experience as a first-generation college graduate to help students navigate academic systems and advise a diverse student population. In her free time, Perla enjoys watching movies, going to concerts and music festivals, hiking to lakes and waterfalls, and playing rummikub. -
Tatiana Monserrat Miranda-Benavides
Ph.D. Student in Iberian & Latin American Cultures, admitted Autumn 2025
BioTatiana Monserrat Miranda-Benavides studies literature and philosophy, with a focus on modern Latin American literature and early modern Iberian texts. She approaches these fields through existentialist frameworks to examine questions of subjectivity and temporality.
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Azalia Mirhoseini
Assistant Professor of Computer Science
BioAzalia Mirhoseini is an Assistant Professor of Computer Science at Stanford University where she directs Scaling Intelligence, a research lab focused on developing scalable and self-improving AI systems. She is a co-founder of Ricursive Intelligence, a frontier lab dedicated to recursive self-improvement through AI that designs the chips that fuel it. Previously, she spent several years in industry AI labs, including Google Brain, Anthropic, and Google DeepMind, working on Gemini and Claude, among other projects. Her past work includes Mixture-of-Experts (MoE) neural architectures, now predominantly used in leading frontier AI models; AlphaChip, a reinforcement learning approach for layout optimization used in the design of advanced chips like Google AI accelerators (TPUs) and data center CPUs; as well as pioneering research on LLM Test-Time Scaling. Her work has been recognized through the Okawa Research Grant, the Google ML and Systems Junior Faculty Award, MIT Technology Review's 35 Under 35 Award, the Best ECE Thesis Award at Rice University, publications in flagship venues such as Nature, and coverage by various media outlets, including WSJ, NYT, Forbes, MIT Technology Review, IEEE Spectrum, WIRED, and TechCrunch.
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Pardis Miri
Basic Life Research Scientist, Genetics
BioPardis Miri, PhD, is a Research Scientist and former Postdoctoral Fellow at Stanford University, where she develops technology aimed at improving mental well-being. She holds a PhD in Computer Science and has extensive training in affective science under Professor James J. Gross. Pardis leads a multidisciplinary team (http://wehab.stanford.edu
) conducting clinical and real-world studies to assess how wearable technologies can reduce stress and enhance glymphatic flow in early-stage Alzheimer’s patients.
During her postdoctoral work, Pardis served as the principal investigator of FAR, a multi-disciplinary project to design, build, and evaluate an end-to-end wearable system for children with emotion dysregulation, including those diagnosed with autism spectrum disorder. FAR aims to support more adaptive emotion-regulation strategies through a combination of systems design and behavioral research.
Pardis is advised by Professors Michael Snyder, Keith Marzullo, and James J. Gross, and collaborates with Professor Antonio Hardan of the Stanford School of Medicine on research involving children with autism spectrum disorder. -
Hadia Irfan Miriam
Affiliate, Stanford Online High School
BioHi.
I am currently a Stanford OHS Junior. I live in Des Plaines, IL.
Interests: Biology, Statistics, Journaling, Spending time with my friends (:
