CMSE 2024 Ginther Research Fellowship Award
We are pleased to share that Maryam Berijanian, Elena Wang, and Xinrui Yu have been awarded the CMSE Ginther Research Fellowship. The Ginther Award is a $500,000 graduate fellowship endowment to the department from MSU alumnus Raymond Ginther and Marie Ginther. The fellowship award is merit-based and open to all CMSE graduate students with a nomination from a CMSE faculty member.
Berijanian is a 3rd-year PhD student at CMSE, working in the field of AI, NLP, and large language models. Her background includes applying AI to solve real-world scientific problems, with an interdisciplinary perspective from her background in robotics, mechanics, and AI. Her hard work, motivation, and fortunate guidance from Dr. Dirk Colbry are what is needed for this achievement.
Her research focuses on adapting or improving NLP and AI systems, with a particular emphasis on developing more effective evaluation methods. She wishes to create domain-specific AI tools that can advance scientific research and education while ensuring efficient and optimized use of computational resources.
Wang is a PhD candidate in the CMSE department, specializing in topological data analysis (TDA), computational geometry, and machine learning. Through collaborations with experts across disciplines, Wang developed an approach to problem-solving which led to this achievement.
Her research focuses on developing and using topological and geometric techniques to analyze high-dimensional datasets. She aims to extract meaningful structural features from complex data, which can then be integrated with machine learning models. This approach helps uncover hidden patterns in real-life data, including biological processes such as how cells differentiate and interact within tissues.
Yu is a second-year PhD student in the CMSE department. She earned her bachelor’s degree in information and computing science at the University of Science and Technology of China (USTC). This interdisciplinary background allows her to apply mathematical models and high-performance computing to genomic data analysis.
Yu’s research focuses on developing advanced computational algorithms to analyze single-cell 3D genome architecture and chromatin organization. Her work integrates high-throughput sequencing data with novel mathematical frameworks to uncover fundamental principles of genome organization. Through collaborations with molecular biologists, she aims to bridge computational methods with experimental genomics, leading to new biological insights.
To learn more about the Ginther Fellowship Award, visit here.
