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Bio
Brando Miranda is a current Ph.D. Student at Stanford University under the supervision of Professor Sanmi Koyejo in the department of Computer Science at the STAIR (Safe and Trustworthy AI) research group. 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 a graduate student at the Massachusetts Institute of Technology (MIT). Miranda’s research interests lie in data-centric machine learning for foundation models, meta-learning, machine learning 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.
Shorter Bio
Brando Miranda is a current Ph.D. Student at Stanford University under the supervision of Professor Sanmi Koyejo in the Department of Computer Science at Stanford at the STAIR (Safe and Trustworthy AI) research group. Miranda’s research interests lie in data-centric machine learning for foundation models, meta-learning, machine learning for theorem proving, and human & brain-inspired Artificial Intelligence (AI).
Contact
Department of Computer Science Gates Computer Science Building 353 Jane Stanford Way Stanford, CA 94305 brando9 {at} stanford DoT Edu
External links
- My Google scholar
- My home page when I was at MIT’s Center for Brain Minds and Machines (CBMM)
- My Stanford profile
- My Stanford engineering profile
- I have a passion to share my knowledge with the world. I love that with technology people have the improved opportunities to learn. With that motivation I can’t help but enjoy sharing what I know in my Quora profile.
- My Linkedin
- My CV
- My Twitter