Working at the Intersection of Deep Learning with Protein Structure Classification and Prediction Get InvolvedConferencesResearchInsightssiam.org FeedsComputational Science & Numerical AnalysisLife Sciences Determining proteins’ three-dimensional structure is key to understanding how they work and why they cause diseases.
Mid-Career Panel at CSE19 Guides Attendees through Academic and Industrial Crossroads Get InvolvedConferencesCareersProfessional DevelopmentSIAM Newssiam.org FeedsComputational Science & Numerical Analysis At CSE19, Misha E. Kilmer, Sven Leyffer, and Lois Curfman McInnes spoke candidly about difficulties and successes at the mid-career level.
Predictive Models of Crop Phenotyping Maximize Future Harvests Get InvolvedConferencesResearchInsightssiam.org FeedsComputational Science & Numerical AnalysisLife Sciences Patrick Schnable presented novel predictive statistical models to forecast crop performance and maximize overall yield at CSE19.
Deep Learning Methods Improve Microfossil Segmentation and Analysis Get InvolvedConferencesResearchInsightssiam.org FeedsComputational Science & Numerical AnalysisGeosciences and Math of Planet Earth Amine Kerkeni utilized volumetric deep learning to detect, segment, and classify microfossils in 3D micro-CT scans at CSE19.
Machine Learning Techniques Advance Suicide Prevention Strategies Get InvolvedConferencesResearchInsightssiam.org FeedsComputational Science & Numerical AnalysisData Science Xinlian Liu combined machine learning techniques with MIMIC-III data to suggest best-practice strategies for suicide prevention at CSE19.