School of Engineering
Showing 601-700 of 1,236 Results
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Weixin Liang
Ph.D. Student in Computer Science, admitted Autumn 2021
BioPlease visit my personal website for more detail: https://ai.stanford.edu/~wxliang/
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Daniel Dan Liu
MD Student, expected graduation Spring 2024
Ph.D. Student in Stem Cell Biology and Regenerative Medicine, admitted Autumn 2020
MSTP Student
Ph.D. Minor, Computer ScienceBioDaniel received his bachelor's in molecular biology from Princeton University in 2018. His undergraduate research, conducted under the mentorship of Dr. Yibin Kang, centered around cancer metastasis and cancer stem cell biology. He is currently an MD-PhD candidate in the lab of Dr. Irving Weissman, where he researches human neural stem cells and primary brain malignancies.
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Nelson F. Liu
Ph.D. Student in Computer Science, admitted Autumn 2019
BioSee my personal website for more information: http://nelsonliu.me
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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.
