10:30 am-12 pm: Pre-Conference Workshop A: AWS HealthOmics by AWS
Instructor: Nan Gabriel
Workshop Description: This workshop focuses on using the Graphical User in AWS Console to complete tasks and demonstrate the capabilities of AWS HealthOmics Storage and Ready2Run Workflows. Some experience with AWS, genomics data types, and genomics data analysis is expected but not a strict requirement.
10:30 am-12 pm: Pre-Conference Workshop B: Cloud-based Training modules for Data Sciences
Instructor: Dr. Stephanie Byrum
Workshop Description: This workshop will introduce the NIGMS Sandbox cloud based training modules, how to setup an account, create a compute engine using Google cloud, and access 12 different data science training modules. A working demonstration of the Biomedical Imaging Analysis training module will be presented.
10:30 am -12 pm: Pre-Conference Workshop C: AI and Machine Learning Made Easy With JMP:
Instructor: Dr. Russ Wolfinger and Dr. Wenjun Bao
Workshop Description: This workshop features new developments in JMP Pro software to provide you direct access to two of the most powerful libraries for AI and Machine Learning: Torch and XGBoost. The primary motivation is to enable busy scientists and engineers to interactively and quickly wrangle data and build state-of-the-art predictive models without having to write code in Python or R. This often affords dramatic gains in efficiency in understanding, predicting, and explaining complex scientific systems, leading to better discoveries and progress and mastery of difficulties like overfitting and deployment. The dynamic graphical interfaces and workflows are designed from deep experience gained and battle tested over years engaging with a worldwide customer base and in dozens of data science competitions. We show examples from a variety of scientific fields using image, text, and tabular data.