Organizing Committee and Session Chairs
Julien Langou
Dr. Langou is a Professor in the Department of Mathematical and Statistical Sciences at CU Denver. His research expertise is Numerical Linear Algebra and High Performance Computing. He is a contributor of the LAPACK open-source software.
Diane Fritz
Dr. Fritz is the Geospatial Data Scientist at Auraria Library, which serves CU Denver, MSU Denver, and Denver Community College. Dr. Fritz obtained her Ph.D. in Geological Sciences from the University of Colorado Boulder and enjoys helping students with environmental science research. Dr. Fritz’s main role on the Auraria Campus is supporting faculty and student researchers in geospatial methods and data in their projects. She is an integral part of the library’s Data to Policy Project and runs the Maptime Mile High and PyFAST (Python for Facility for Advanced Spatial Technology) groups. She also lectures for the Department of Geography and Environmental Sciences at CU Denver.
Yu Du
Yu Du’s research interest is in large scale data-driven mathematical optimization. The majority of her research focuses on developing nonlinear optimization algorithms for solving large-scale problems with applications in machine learning and data mining, specifically statistical convex and non-convex optimization problems.
Du has also been working on modeling and solving combinatorial optimization problems. Much of her efforts are concerned with new ways of modeling quadratic binary problems and with designing and testing new algorithms for solving these problems.
Ashis Biswas
Ashis Biswas is data scientist and researcher involved into the design, development and analysis of machine learning algorithms into solving real-world problems in the context of Responsible AI. He is also an educator teaching graduate level breadth courses and under-graduate level technical elective courses covering machine learning, deep learning, reinforcement learning and Bioinformatics. In CU Denver's computer science department, he runs the Machine Learning Laboratory (ML Lab) where he supervises a bunch of undergraduate, MS and PhD students who are working on several collaborative research projects to make a positive difference in the community we live in.