Scientific Computing meets
Machine Learning and Life Sciences
A variety of challenges in scientific computing on machine learning related to problems in the life sciences have emerged in recent years, and a workshop-type environment is needed to bring together a diverse group of scientists working in various areas of computational mathematics, statistics, computer science and life sciences to advance the state-of-the-art statistical analyses for machine learning in the life sciences, and to further develop mathematical and computational methods in these rapidly developing fields. The workshop will consist of presentations, posters and group discussions which will stimulate an intensive exchange of ideas, foster fruitful interactions, identify challenges, promote interdisciplinary collaborations and initiate joint research projects.
The workshop will be held from Monday October 7 - Wednesday October 9, 2019 on the campus of Texas Tech University in Lubbock, TX.
Scientific Committee
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Organizing Committee
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Each member of the organizing committee is a specialist respectively in mathematical biology and life sciences, applied artificial Intelligence (AI), statistical analysis on machine learning (ML) and big data, and computational mathematics on scientific computing
This conference is partially supported by the National Science Foundation, the Department of Mathematics & Statistics at Texas Tech University, and the Horn Professorship of Linda J. S. Allen. A special thanks to two graduate students Kyle Greywall and Jonathon Loftin for their assistance during the workshop.
