Chloe Gentgen
Chloe Gentgen is a PhD candidate whose research focuses on developing critical capabilities to support space exploration, including mission architecture, propulsion systems, and in-situ resource utilization. Her notable achievements include a successful demonstration of in-space refueling through a microgravity experiment; leading MIT’s winning team in the RASC-AL 2022 challenge to design an architecture for propellant production on Mars; and working on a NASA mission proposal to explore En ...
Mary Dahl
Mary Dahl is a PhD candidate whose research interests involve using artificial intelligence to optimize CubeSat (small satellite) data collection, autonomous systems for the safe, on-orbit assembly of small satellites, and systems engineering for CubeSat missions. A MathWorks Fellowship will support Mary’s work to develop technologies for more effective data collection in space. Her current project is focused on the design of CubeSats for orbital wildfire prediction by integrating powerline ...
Jasmine Jerry Aloor
Jasmine Jerry Aloor is a PhD candidate in robotics, aerospace engineering, and artificial intelligence whose research seeks to address the challenge of balancing efficiency and fairness in multi-agent teams using reinforcement learning. As a MathWorks Fellow, Jasmine will pursue research exploring motion planning and control for dynamic multi-agent systems, with a special emphasis on safety, robustness, and human interactivity. Jasmine’s past research endeavors include work in imitation lea ...
Paul Zhang
Paul Zhang is a PhD candidate working to answer complex questions at the intersection of scientific computing, optimization, and geometry. Specifically, Paul studies quadrilateral (quad) and hexahedral (hex) meshing, an open area in geometry with bearing on simulation for computational fluid dynamics, fabrication, and other tasks. He has also investigated other areas of geometry, developing a new algorithm for approximating the isoperimetric profile of a two-dimensional shape and exploring ne ...
Yuzhe Yang
Yuzhe Yang is a PhD candidate working at the intersection of machine learning (ML), artificial intelligence (AI), and digital health. He is building innovative neural learning pipelines that combine MATLAB’s capacity to manipulate signals and matrices with contemporary deep learning approaches with the goal of developing new modalities and applications for digital health. His recent work includes a project that tackled the problem of imbalance in real-world data and yielded new tools and in ...
Jin (Harvey) Yang
Jin (Harvey) Yang is a PhD candidate whose research aims to decipher the mechanisms underlying 3-D genome organization and enhancer-promoter interaction. As a MathWorks Fellow, Harvey seeks to develop new methods in synthetic 3-D genome biology. In past and present work, he has made innovative use of MATLAB and created new open-source tools for the MathWorks community, including modeling synthetic gene circuits through SimBiology to guide experimental testing. In his recent project on the rep ...
Oliver Xie
Oliver Xie is a PhD candidate whose work combines chemical, biochemical, and genetic engineering with cutting-edge computational approaches to explore protein materials. Specifically, Oliver is studying block copolymers and the unique properties arising from their self-assembled morphologies. As a MathWorks Fellow, he is developing a novel self-consistent field theory (SCFT), which predicts the self-assembly and phase behavior of sequence-defined polymers, and he is using MATLAB tools to unco ...
Hanshen Xiao
Hanshen Xiao is a PhD candidate whose research explores the area of privacy-preserving machine learning. Specifically, he investigates information-theoretical security, robust optimization, and signal processing, from theoretical and practical perspectives. MATLAB is an indispensable tool in Hanshen’s work, supporting such tasks as large-scale spectrum analysis, testing learning algorithms, and estimating higher-order cumulants. His recent accomplishments include studies in high dimensional ...
Jake Song
Jake Song is a PhD candidate whose research combines materials engineering and soft matter physics with emerging trends in mechanics and rheology. Specifically, Jake studies the structural and dynamical properties of soft materials, from foods and cosmetics to cells and tissues, with the goals of understanding the microscopic origins of these dynamics and developing new constitutive models for engineering applications of soft materials. Through his innovative use of MATLAB, Jake has created v ...
Noah Salk
Noah Salk is a PhD candidate building complex analytic models of practical problems at the intersection of physics, mathematics, and computational modeling. Specifically, Noah’s work seeks to advance the development of a new class of resonant, electronic power transformers. MATLAB has enabled him to create powerful new models, equal to the task of solving practical problems rich in complex physics. Recent examples include models for electromagnetic processes and effects within high frequenc ...