Rishabh Datta
Rishabh Datta is a PhD candidate whose research is focused on magnetized plasma, a quasi- neutral gas of ions and electrons threaded by magnetic fields that makes up the vast majority of the universe. Specifically, Rishabh seeks to gain a deeper understanding of the fundamental properties of magnetized plasma, knowledge that has important implications for satellites, spacecraft, and other technologies in communication, security, and space exploration. With the support of a MathWorks Fellowshi ...
Jaehun Choe
Jaehun Choe is a PhD candidate whose research bridges the fields of materials science, mechanics, and robotics to advance cutting-edge medical robotics applications. As a MathWorks Fellow, Jaehun is developing a guidewire robot capable of navigating blood vessels in the brain to treat stroke patients remotely and to deliver life-saving care faster. His project builds on recent advances in soft, thread-like robots made of ferromagnetic material that can navigate a life- sized model of vasculat ...
Maanasa Bhat
Maanasa Bhat is a PhD candidate who is integrating interests in health, energy, and materials science to develop innovative new approaches to synthesis of nanomaterials. As a MathWorks Fellow, Maanasa is designing a flame-based synthesis process to manufacture nanomaterials for low-cost sensors and photocatalysts with a wide range of potential environmental and health applications. The goal of Maanasa’s work is to build a broader understanding of the physical and chemical mechanisms involve ...
So-Yoon Yang
So-Yoon Yang is a PhD candidate who is applying her expertise in semiconductors to the creation of novel, functional devices for biomedical applications. So-Yoon’s highly interdisciplinary research builds upon her prior work developing flexible, wearable sensor patches and transistor-based biosensors. Her MathWorks Fellowship will support So-Yoon’s ongoing work developing a long- term energy harvesting system for ingestible electronics for diagnostic and therapeutic devices. By harvesting ...
Elizabeth Whittier
Elizabeth Whittier is a PhD candidate whose research in magnetic imaging and bioinstrumentation is speeding the development of next-generation imaging systems and nanomaterials. Specifically, Elizabeth’s work is focused on the creation of a novel magnetic particle imaging (MPI) system to visualize magnetic nanomaterials in live animals and to enable functional imaging and spectroscopy at unprecedented speeds. She has already reached critical milestones in the project, including the successf ...
Wei-Chen (Eric) Wang
Wei-Chen (Eric) Wang is a PhD candidate who applies innovative computational modeling to solve problems in biology and medicine. Specifically, Eric is building novel predictive models to understand the computational principles underlying movements of biological systems, with the goal of transforming neuromotor rehabilitation, humanoid robotics, and animation. As a MathWorks Fellow, Eric will infer the reward functions of naturalistic movements across subjects and species and examine how they ...
Tsun-Hsuan (Johnson) Wang
Tsun-Hsuan (Johnson) Wang is a PhD candidate whose research integrates computer science with artificial intelligence and machine learning to create real-world autonomous systems, such as robot cars, and to explore foundational questions in robot control. With the support of a MathWorks Fellowship, Johnson will expand his innovative work to create high-fidelity environments and sim-to- real approaches for control learning that will safely expose agents to challenging and dangerous edge cases. ...
Jamison Sloan
Jamison Sloan is a PhD candidate whose research explores new possibilities in the field of quantum optics. Specifically, Jamison’s work aims to use extreme effects in nonlinear optics to generate quantum states of light, which have not yet been achieved. As a MathWorks Fellow, Jamison will pursue several projects that cover new ground in quantum optics, including: applications of machine learning and other data-driven methods to discover new aspects of multimode laser physics; investigation ...
Brooke McGoldrick
Brooke McGoldrick is a PhD candidate working at the frontier of neuromorphic computing, an emergent field that seeks to build new computing architectures that offer major advantages over traditional, electronic hardware. Specifically, Brooke is studying devices called magnetic tunnel junctions (MTJs), with the goal of demonstrating that MTJ-based nano-oscillators are good candidates for building a computing architecture called an Ising machine, which is created to solve combinatorial optimiza ...
Saurav Maji
Saurav Maji is a PhD candidate whose research is focused on security challenges, and solutions, for Internet of Things (IoT) devices. His past achievements include projects to enhance the security of implantable medical devices, while his current work addresses the need for improved security in machine-learning and agricultural applications. As a MathWorks Fellow, Saurav will advance two projects concerning side-channel security issues for embedded neural network hardware and software impleme ...