Meet our Members

Sai is currently an Assistant Professor in the Departments of Computational Mathematics, Science and Engineering (CMSE) & Biomedical Engineering and leads the Signals, Learning, and Imaging (SLIM) Group at MSU. His research interests include signal & image processing, computational & biomedical imaging, data-driven systems, machine learning, signal modeling, inverse problems, compressed sensing, dictionary learning, data science, image analysis, and large-scale data processing & optimization.

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Ismail Alkhouri is a postdoctoral research associate at MSU and a visiting scholar at UM Ann Arbor. He received his B.S. in Electronics and Communications Engineering from the University of Baghdad, Iraq in 2009. He received his Ph.D. from the Data Science and Machine Learning Laboratory (DSML) at the ECE Department at UCF in May 2023. He was a research intern at the Information Directorate at AFRL from 2019 to 2022. His research focuses on robust medical image reconstruction, diffusion models, adversarial machine learning, and combinatorial optimization.

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Tyler earned his B.S. in Physics from Grand Valley State University in 2018 and pursued his dual Ph.D. in Physics and Computational Math, Science, and Engineering (CMSE) at MSU in 2024. As a graduate student at the National Superconducting Cyclotron Laboratory (NSCL) at MSU advised by Dr. Christopher Wrede, he is investigating the influence of a particularly important thermonuclear reaction rate on X-ray Burst light curves. He is advised by Dr. Ravishankar on the CMSE side and his work with SLIM is on data analysis.

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Siddhant is a Ph.D. student in the Computational Mathematics, Science, and Engineering (CMSE) department at Michigan State University. He received his M.S. in Electrical Engineering from the Indian Institute of Technology Madras in 2020. His research is on developing algorithms for biomedical image reconstruction and sampling using machine learning.

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Avrajit joined SLIM in fall 2020. He received his BTech in Electronics and Telecommunication Engineering from Jadavpur University in 2020. His interests are in deep learning and inverse problems. He is jointly advised by Dr. Ravishankar and Dr. Rongrong Wang.

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Angqi Li began his Ph.D. in CMSE in spring 2023. He was a research intern at Shanghai Jiao Tong University for three months. His current research is on how meditation affects mental health by using EEG tests to detect changes in brainwaves and deep learning to simulate.

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Shijun received his B.S. at the University of California, Davis in 2017. He was a research intern at Johns Hopkins University for two years, before joining MSU in fall 2019.

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Gabriel earned his M.S. from Columbia University in 2017 and subsequently worked at Weill Cornell Medicine as a staff associate for two years. He then transitioned to Cleerly Inc as a Data Scientist for 1.5 years, where he focused on medical image analysis. In 2021, he began his PhD and joined the SLIM group. His research interests now center on exploring the solving of inverse problems in computed tomography using Reinforcement Learning, Diffusion models, and Optimization.

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Omeiza Olumoye finished his M.S. in Computational Science from the University of Texas at El Paso in 2020. He has been a Ph.D. student in CMSE since fall 2021, but he joined SLIM in spring 2023. His research is on reinforcement learning for image reconstruction/sampling.

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Evan Bell is an undergraduate student in the Department of Mathematics at Michigan State University. His work with SLIM has been on MRI sampling and reconstruction using deep learning.

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Jimmy is an undergraduate engineering student at the University of Michigan studying Computer Science. His interests include machine learning, robotics, and computer vision.

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Dan is an undergraduate student studying data science at MSU. She is interested in machine learning and data analysis. Her research with the SLIM group during summer 2022 was on object shape detection from sparse-view CT data.

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Clara Linjewile is an undergraduate student majoring in Computational Data Science at Michigan State University. With a strong background in Artificial Intelligence and High-Performance Computing, Clara's research experience includes developing AI models at the College of Human Medicine and interning at the Institute of Cyber-Enabled Research, where they worked on enhancing HPC interfaces. Their academic interests span Machine Learning, Deep Learning, Artificial Intelligence, and Computer Vision.

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Madeline Mitchell is a physics major at MSU. Her interests are in data analysis and image processing. Her work with SLIM has been on machine learning for image denoising and CT.

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Minh Nguyen is a sophomore from Vietnam studying advanced math at Michigan State University. His work at SLIM has been on adversarial robustness.

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Thuy is an undergraduate honors student majoring in computational data science with a minor in cognitive science. Her interests include machine learning, image reconstruction, and computational cognitive neuroscience.

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Rishi Pathak is an undergraduate physics major and honors student at MSU. He is interested in Experimental Nuclear Physics and Image Processing.

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Pratham Pradhan is an undergraduate honors student studying computational data science at MSU. His interests include artificial intelligence, machine learning, and data analysis.

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Anthony Sun is a second-year student at the University of Michigan studying Computer Science with minors in Linguistics and Complex Systems. His interests include artificial intelligence and cloud computing.

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Kenneth is an undergraduate student at the University of Michigan studying math and physics. His interests include computer vision and reconstruction.

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Annie Wozniak is a junior studying data science in the honors college at Michigan State. She is currently working on the EEG Data Analysis project and will begin a new project in the fall of 2023.

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Aryan graduated from Michigan State University with a Bachelor of Science degree in data science in April 2024 and is currently working with PhD student Siddhant Gautam on MRI sampling techniques using machine learning.

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Berk is a Ph.D. student in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC). He worked with the SLIM group during summer 2020. His interests are in imaging inverse problems, particularly in tomography, machine learning, image processing, and PDE models.

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Anish was a Ph.D. student and then a postdoc in the Department of Electrical and Computer Engineering at the University of Michigan. His research focused on information-theoretic optimization and applying learning-based techniques to imaging inverse problems. His work with SLIM was on Cone Beam CT reconstruction from limited views during summer 2020. He is currently a research scientist at Sony AI.

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Ashwin was an undergraduate student studying computer science at the University of Michigan. He interned with SLIM during summer 2021, working on MRI reconstruction using machine learning. He is currently a Software Engineer at Google.

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Akanksha did an internship during summer 2019 while pursuing an M.S. degree in the EECS Department at the University of Michigan. She worked on sparsifying transform learning jointly with Prof. Ravishankar, Prof. Rongrong Wang, and Prof. Vishnu Boddeti. She is currently employed at Workday, in Boulder, CO as a Machine Learning Engineer.

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Lanlan Feng received her B.S. degree from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2017, where she is currently pursuing her Ph.D. She was awarded a scholarship in UESTC to pursue study in SLIM at MSU as a joint Ph.D. student for one year (11/2023-10/2024). Her research interests include signal processing, machine learning, and imaging. Some topics include tensor decompositions and image reconstruction.

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Zhipeng was a Ph.D. student at the University of Michigan - Shanghai Jiao Tong University Joint Institute in China. He worked in X-ray CT imaging and visited MSU in summer 2019. He is currently a Ph.D. candidate at Tsinghua University.

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Siqi was a Ph.D. student at the University of Michigan - Shanghai Jiao Tong University Joint Institute in China. She worked on X-ray CT imaging and visited MSU in summer 2019. She is currently a postdoc at Stanford University.

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Leo’s research focuses on optimization (nonconvex and federated), randomized algorithms, and learning theory. He has also worked on applications of deep learning for image processing and scientific computing. Leo received his Ph.D. in applied mathematics under the supervision of Prof. Stephen Becker from the University of Colorado Boulder in July 2020, and his BSc in Physics from Southeast University, China in 2015. He was a SLIM Postdoc during 2020-2022 and is currently an Applied Scientist with Amazon in Seattle.

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Muhammad was an MSU undergraduate student in the Department of Computer Science. His work with SLIM in 2020 was on Generative Adversarial Models for image reconstruction. He is currently a software engineer at JPMorgan Chase.

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Mike's research focus was improving biomedical image reconstruction algorithms using tools from signal processing, optimization, and machine learning. He has joined Los Alamos National Laboratory as a research scientist since May 2021.

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Alex Sietsema was an undergraduate mathematics student at MSU. His work with SLIM during 2020-2022 was on descattering techniques in radiography. He is currently a Ph.D. student in the Department of Mathematics at UCLA.

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Deva graduated from North Carolina State University with a degree in Political Science before moving to Michigan to begin immersion in Bhakti Yoga at an ashram in Detroit in 2010. In 2012, he started a yoga cooperative known today as The Harmony Collective in nearby Ypsilanti, MI which includes a farm, restaurant, sanctuary, and studio space. He revels in finding novel ways to share the uplifting practices of the world's wisdom cultures in unique environments to address the challenges of modernity. He occasionally moonlights as a catering chef for special events and harbors hopes of becoming a writer.

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December is a dog research assistant at SLIM. She provides top-level therapy services to the group members and helps them maintain good mental health simply by being cute. Her research area includes human-dog relationships and emotional support.

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