Thomas Butruille
Thomas Butrille is a PhD candidate in mechanical engineering whose research interests are focused on architected materials and machine learning. Specifically, Thomas studies fabrication processes for complex micro-fabricated structures and how these structures interact with their environments and then develops machine-learning models to predict the behavior of these structures. As a MathWorks Fellowship, Thomas will pursue several research threads, including investigations of ultralight truss ...
Sungyun Yang
Sungyun Yang is a PhD candidate in chemical engineering whose multidisciplinary research aims to develop innovative new approaches in pharmacokinetic modeling, materials science, and micro-robotics for biomedical applications. As a MathWorks Fellow, Sungyun will expand his work in several areas, including MATLAB-based simulations of physiological glucoregulatory systems to develop novel insulin therapeutics and designing colloidal-scale microrobots and microscopic sensors for deployment in co ...
Mumin Jin Sass
Mumin Jin Sass is a PhD candidate in electrical engineering and computer science whose research integrates signal processing, machine learning, and array processing to expand the capabilities of sensing systems for radio frequency, acoustic, and other modalities. Supported by her first MathWorks Fellowship, Mumin concentrated on machine-learning approaches to enhance automotive radar imaging in autonomous vehicles. Her second MathWorks Fellowship will enable her to explore a related line of i ...
Devosmita Sen
Devosmita Sen is a PhD candidate in chemical engineering whose research aims to better understand and model the micro- and macroscopic properties of polymer networks, which are widely used in common products, from rubber tires to contact lenses, and are critical for cutting- edge applications such as drug delivery and soft robotics. As a MathWorks Fellow, Devosmita will expand her innovative approaches in modeling the topology of complex polymer networks to enable more accurate prediction of ...
Diego Quevedo-Moreno
Diego Quevedo-Moreno is a PhD candidate in mechanical engineering whose research is focused on the development of implantable, biomimetic, medical devices that augment or assist native function. With the support of a MathWorks Fellowship, Diego will work on the design and testing of an implantable ventilator to treat respiratory failure. For patients with severe diaphragm dysfunction who are not candidates for minimally invasive treatments, the current alternative is permanent airway tetherin ...
Honghao Cao
Akash Ball is a PhD candidate in chemical engineering whose research aims to use machine learning and computational chemistry to discover novel materials for applications in water desalination, industrial water treatment, and rare earth element recovery. Specifically, he is working to identify materials with unprecedented water permeation and ion-separation performance and creating models to explain how to optimize the transport properties of porous metal-organic frameworks (MOFs). MOFs are c ...
Juyeop Han
Juyeop Han is a PhD candidate in mechanical engineering whose research interests lie at the intersection of uncertainty quantification and machine learning. Specifically, he is interested in how quantifying uncertainty in learning models can aid in the development of safer, more efficient robotics systems. As a MathWorks Fellow, Juyeop will work on methods for uncertainty quantification (UQ) in neural networks and their integration into robotics applications. To that end, he has developed a n ...
Kunzan Liu
Kunzan Liu is a PhD candidate in electrical engineering and computer science whose research aims to advance metabolic and structural imaging of living tissues and next-generation imaging tools in biomedicine. As a MathWorks Fellow, Kunzan will pursue a project in 3D optical microscopy aimed at capturing the cellular metabolic dynamics deep within intact and living biological systems. His deep-tissue label-free 3D imaging platform enables precise characterization of metabolic and structural ch ...
Nishat Tabassum
Nishat Tabassum is a PhD candidate in chemical engineering whose research aims to assess the feasibility of engineering small proteins as alternatives to monoclonal antibody therapeutics. Specifically, Nishat is working to design a non-immunoglobulin protein that targets the cytokine tumor necrosis factor-alpha and prevents it from binding to its receptors, thus preventing an inflammatory response. A common challenge in treating chronic inflammation in autoimmune diseases is that patients may ...
Ana Dodik
Ana Dodik is a PhD candidate in electrical engineering and computer science whose research is focused on geometry processing. Supported by a MathWorks Fellowship, Ana will continue her successful work to develop new graphics algorithms for human-centric 3D computing with high levels of interactive control. MATLAB gptoolbox is a cornerstone of Ana’s work. Her achievements include a novel algorithm for the computation of generalized barycentric coordinates, an element in geometry processing w ...