Stanford University
Showing 1-10 of 2,715 Results
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Navid Anjum Aadit
Postdoctoral Scholar, Electrical Engineering
Current Research and Scholarly InterestsNavid Anjum Aadit builds hardware for problems that resist conventional acceleration: high-dimensional sampling, combinatorial search, and large AI models under hard energy budgets. His work spans the full stack, from Monte Carlo algorithms through probabilistic architectures to three-dimensionally integrated devices. He led the design of the first programmable probabilistic computer at the million p-bit scale, and at Stanford develops monolithic 3D CMOS+X accelerators.
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Guljannat Ablat
Postdoctoral Scholar, Chemistry
BioI completed my PhD in Chemical Biology at King’s College London (UK) under the supervision of Dr. Manuel Müller. My PhD research focused on manipulating D-amino acids in peptides and proteins. I joined the Khosla lab in June 2026, where I will be working on the mechanism elucidation of the assembly-line polyketide synthases.
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Shahira Abousamra
Postdoctoral Scholar, Biomedical Data Sciences
BioShahira Abousamra is a Postdoctoral scholar in the department of Biomedical Data Science at Stanford University, working with Dr. Sylvia Plevritis at the Plevritis Lab. She earned her PhD in Computer Science from Stony Brook University in 2024 under the supervision of Dr. Chao Chen and Dr. Dimitris Samaras.
In her research, she integrates mathematical modeling with computer vision to create more robust solutions, particularly in the context of advancing cancer research and enhancing our understanding of the tumor microenvironment. She leverages computational topology and spatial statistics to provide spatial semantic grounding to complement machine learning models. She publishes in top computer vision, artificial intelligence, and medical image analysis conferences including CVPR, ECCV, ICCV, AAAI, and MICCAI. -
Ibrahim Oluwajoba Adisa
Postdoctoral Scholar, Education
BioIbrahim ('Joba) Adisa is a Human-Centered AI (HAI) Postdoctoral Fellow at Stanford's Graduate School of Education, collaborating with Dr. Victor Lee on advancing research to promote AI literacy in K-12 education. His research lies at the intersection of learning sciences, computing education, data science, and AI literacy. He focuses on developing tools and curricula resources that enhance data literacy and promote creativity, computational thinking, and collaborative problem-solving with AI in K-12 education. His research is often conducted through co-designs and partnerships in formal and informal learning environments. He uses qualitative and statistical machine learning methods to model learners' interactions in these environments.
'Joba completed his undergraduate studies at the Federal University of Technology Minna with an emphasis on cognitive science, physics, and mathematics. He earned a master's in educational technology from the University of Ibadan and obtained his doctorate in Learning Sciences from Clemson University, where he supported several NSF-funded projects in STEM, data science, and AI education. Before graduate school, he worked as a Digital Learning Specialist at Tek Experts, a global digital tech talent corporation. His diverse academic background underpins his innovative approach to educational research and instructional design. 'Joba has received numerous awards and honors throughout his academic career, including the Outstanding Graduate Researcher Award and fellowships from MTN Foundation, Caroline Odunola Foundation, Clemson University, and Stanford PRISM Baker. His publications span various high-impact journals and conferences, contributing to the fields of AI literacy, data science and computing education.
