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Loyola Marymount University
Loyola Marymount University
Department of Mathematics, Statistics and Data Science
Department of Mathematics, Statistics and Data Science
Frank R. Seaver College of Science and Engineering
Associate Professor
Email: @lmu.edu: Junyuan.Lin
LinkedIn: https://www.linkedin.com/in/junyuan-joanne-lin-328520174/
Education Background:
Education Background:
PhD, Mathematics, Tufts University, 2019 (Advisor: Xiaozhe Hu)
MS, Mathematics, Tufts University, 2016
BS, Mathematics, Pepperdine University, 2014
Graph Algorithms | Machine Learning | Scientific Computing | Data Mining | Network Analysis | Bioinformatics
Selected Grants & Awards:
Selected Grants & Awards:
AI Initiative Grant, Co-PI: "Explainable and Robust Machine Learning for Responsible Content Pattern Analysis on Social Networks" ($10,000), LMU Seaver College of Science and Engineering
Media, Arts, and a Just Society (MAJS) Fellowship, PI: "Detecting Misinformation Trends on Social Networks Using AI and Graph Algorithms" ($15,000), Loyola Marymount University
Faculty Fellow, PI: "Advanced Data Mining Algorithms for Dynamic Social Networks and Knowledge Graphs", LMU Seaver College of Science and Engineering
DMS-2418877, PI: "Spectral Algorithms for Dynamic Social Networks and Knowledge Graphs" ($250,000), National Science Foundation
Seaver College Department/Program Sustainable Development Goals Initiative Grant, Co-PI ($10,000), LMU Seaver College of Science and Engineering
Academic Technology Grant, PI: ``Enhancing Sports Performance Analytics with Artificial Intelligence", Loyola Marymount University
Summer Opportunities for Advanced Research (SOAR) Program Assistantship Fund, LMU Seaver College of Science and Engineering
Howard Hughes Medical Institute Grant Research Assistantship Fund, Loyola Marymount University
Rains Research Assistance Fund, Loyola Marymount University
Early Career Travel Award, Society for Industrial and Applied Mathematics
Preparation for Industrial Careers in Mathematical Sciences (PIC Math) Grant, Mathematical Association of America/Society for Industrial and Applied Mathematics
Robyn Gittleman Graduate Teaching Fellowship, Tufts University
Paper Competition Winner, 15th Copper Mountain Conference on Iterative Methods.
Best Performer, 2016 Disease Module Identification (DREAM) Challenge, IBM Research/National Institutes of Health.
Outstanding Academic Scholarship Award, Tufts University
Graduate Research Excellence, Tufts University
Outstanding Presentation Award Winner, 2013 Joint Mathematics Meetings, American Mathematical Society/Mathematical Association of America
Outstanding Student, Department of Mathematics, Pepperdine University
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