Stanford University
Showing 51-60 of 34,676 Results
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Eric Abdulaziz
Masters Student in Mechanical Engineering, admitted Autumn 2023
Bio→ HCP Graduate Mechanical Engineering part time student. Full time Mechanical Engineer at Intuitive Surgical.
→ Bachelors in Mechanical Engineering at the University of California, Irvine.
→ Grew an interest in the medical device field through self led research in developing a prosthetic for a user with a congenital limb deficiency of the hand.
→ Later grew passionate about Minimally Invasive Surgery through industry experience in Neuroendovascular Surgery.
→ Strongly believe that Minimally Invasive Surgical Robotics is an imperative step to catalyzing a paradigm shift in significantly improving patient outcomes and broadening scope of impact. -
Rizwaan Abdulkadir
Affiliate, Cardiovascular Institute Operations
BioRizwaan is a second-year medical student pursuing an MD/MPH dual degree at East Tennessee State University. Bringing a strong quantitative background to clinical medicine, Rizwaan holds a Master of Science in Electrical Engineering and a Bachelor of Science in Computer Engineering from the University of Tennessee at Chattanooga. Dedicated to operating at the intersection of engineering and healthcare, Rizwaan is focused on the research and development of novel medical devices, particularly within the field of interventional cardiology.
Beyond clinical training, Rizwaan is the founder of Parleii LLC, an educational hardware startup, demonstrating a commitment to scalable, tech-driven solutions. As a participant in the 2026 Stanford Cardiovascular Institute Summer Research Program, Rizwaan aims to bridge the gap between engineering innovation, direct patient care, and broader public health outcomes. -
Muhammad Abdulla
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
REU Graduate Coordinator, Electrical Engineering
Student Assistant, Electrical EngineeringCurrent Research and Scholarly InterestsMy research is focused on how motor control is encoded at a neuronal level. On the theoretical side, I develop mathematical methods for analyzing neural data and modeling the relationships between neurons and motor function. On the applied side, I build computational frameworks for processing large datasets and interfacing with hardware. My goals are to gain insights on how networks of neurons work in harmony to generate movement and to improve the design of brain-machine interfaces.
