Fellows

So-Yoon  Yang
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

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

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

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

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

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

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 ...

Benjamin  Lahner
Benjamin Lahner

Benjamin Lahner is a PhD candidate who is expanding the frontiers of computational neuroscience, with research that applies cutting-edge data analysis and machine-learning methods to advance studies of the human brain. As a MathWorks Fellow, Benjamin will continue his work to compare functional neuroscience imaging data with deep neural networks and devise original ways to utilize that data. In his most recent work, Benjamin combined high resolution spatial and temporal data to examine inform ...

Justin  Chen
Justin Chen

Justin Chen is a PhD candidate whose research explores the intersection of algorithms, machine learning, and data analysis. Specifically, Justin is making important contributions in the emerging area of learning-augmented algorithms. As a MathWorks Fellow, Justin will build upon several recent projects in this domain, including research on counting triangles in a data stream (a fundamental tool of network analytics); the classic optimization problem of online bipartite matching; and offline a ...

Maz  Abulnaga
Maz Abulnaga

Maz Abulnaga is a PhD candidate whose work is changing the way researchers and physicians study the placenta with the goal of improving health outcomes for mothers and babies. Specifically, Maz develops algorithms for studying the placental shape in fetal magnetic resonance imaging, an imaging modality that is being used to track the health and function of the placenta, identify pathology, and support patient outcomes. Maz has made several contributions to the theoretical and algorithmic foun ...

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