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Ethan Baxter

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Colton Bryant

Phone: 847-467-5760
Office: Tech M451
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Using an overset grid scheme to study the dynamics of particles confined to fluid interfaces. (Advisors: David Chopp and Michael Miksis)

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Christina Catlett

Office: Tech M410
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Nan Ding

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Deirdre Edward

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Gonzalo Ferrandez Quinto

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Jingting Gao

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Design of computer simulations with probability and applied analysis (Advisor: Chang-Han Rhee).
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Ruoming Gong

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Nonlinear analysis and math modeling with application in astrophysics and social systems (Advisor: Daniel M. Abrams)

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Zoey Ho

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Dynamics of cell differentiation in the gastrulating mouse embryo (Advisor: Madhav Mani)
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Benjamin Hyatt

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Achieving efficient and robust numerical simulations of astrophysical and geophysical fluid flows via numerical analysis of timestepping stability in spectral methods (Advisor: Daniel Lecoanet)
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Sho Kawakami

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Investigation of motility and shape fluctuations of droplets containing active particles. (Advisor: Petia Vlahovska)
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Hanqing Li

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My research is about deep learning, neural networks, focused on computer vision and natural language processing (Advisor: Diego Klabjan).
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Tao Li

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Use physics-inspired or machine learning methods to describe dynamics of gene expressions, such as under the condition of aging or small environmental variations. (Advisor: Madhav Mani)
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Sungsoo Lim

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I work on machine learning applications in health care and autonomous parking. I recently completed a project on implementation and application of Monte Carlo Tree Search (MCTS) to feature acquisition with focus on medical diagnosis application. I am currently working on development and implementation of federated MCTS with application to autonomous parking (Advisor: Diego Klabjan).
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Xinyi Liu

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Mathematical modelling of tissue deformation appearing in the esophageal diseases using continuum mechanics theories, dynamical systems theory and numerical simulations. (Advisor: Neelesh Patankar).
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Maximilian Mattessich

Office: Tech M455
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Siqiao Mu

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My research involves designing and analyzing algorithms at the intersections of reinforcement learning, federated learning, and nonconvex optimization (Diego Klabjan).

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Sophia Nelson

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Anh Nguyen

Office: Tech M459
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Gene network reconstruction methods, graph theory (Advisor: Diego Klabjan).

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Liam O'Connor

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Nonlinear optimization of physics-based simulations (Advisor: Daniel Lecoanet)

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Tom Overman

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I design and analyze machine learning algorithms with a focus on federated learning (Advisor: Diego Klabjan).
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Mingjie Pei

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Connor Puritz

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Modeling and analysis of single cell RNA sequencing data (Advisor: Rosemary Braun).
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Noah Roselli

Office: Tech M455
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Michael Rushka

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Using modeling approaches to investigate the neural basis of learning and memory, specifically by exploring the mechanisms and properties of the olfactory system (Advisor: Hermann Riecke).
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Adam Sandler

Phone: 847-467-0853
Office: Tech M461
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Decomposing biomedical data into components and groups for analysis. More specificly, using Bayesian statistics in order to compute the Tucker decomposition of tensors (Advisor: Diego Klabjan).

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Aaron Scheiner

Office: Tech M410
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Elisheva Siegfried

Office: Tech M455
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Divjyot Singh

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Richard Suhendra

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Mathematical modeling of fruit fly navigation and behaviour (Advisor: William Kath, Marco Gallio).
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Developing optimization algorithms with applications in Machine Learning and simulation-based problems under the supervision of Prof.Jorge Nocedal (Advisor: Jorge Nocedal).
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Kumar Utkarsh

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I develop mathematical models to understand pain crisis events in Sickle Cell Disease. The modelling approach draws from Stochastic Processes, Dynamical Systems and Machine Learning. (Advisor: Daniel Abrams)
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Solomon Valore-Caplan

Office: Tech M410
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Shuyang Wang

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Maria Warns

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Mathematical modeling of wastewater networks for uncertainty quantification. (Advisors: Niall Mangan, Aaron Packman)
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Yifan Zhang

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Shuozhen Zhao

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Numerical simulation and asymptotic analysis of nonlinear electrodynamics across a biomembrane. (Advisors: Petia Vlahovska and Michael Miksis)
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Ziyu Zhao

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Using dynamical system modeling and statistical tools to infer adaptation rates of fatbody RNAs in fruit files due to transient temperature changes, and construct gene regulatory networks of temperature-mediated responses associated with the circadian system. (Advisors: Bill Kath, Rosemary Braun)

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Haley Zsoldos

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MS Students

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Ria D'Souza

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Yash Satish Deodhar

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Shungo Fukaya

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Noah Igram

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Yang Jin

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Olga Lew-Kiedrowska

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Gaoxiang Lu

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Junior Ndayikengurukiye

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Robert Norwood

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Zheng Pei

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Marcos Rios

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Max Rogal

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Neven Vaduthala

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Hongming Wu

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Ting Wu

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Zhuyan Zhang

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