cse21

Structure-based Drug Discovery and Ensemble Docking for SARS-COV-2 Proteins

At CSE21, Jeremy Smith discussed his efforts to develop a supercomputer-driven pipeline for in-silico COVID-19 drug discovery.

Inspiring the Next Generation of Software Practitioners through the Better Scientific Software Fellowship Program

The Better Scientific Software Fellowship Program provides funding to leaders and advocates of high-quality...

Trustworthy safety-critical autonomy in robotic systems will require true understanding of the surrounding...

At CSE21, Angela Herring presented strategies for managers seeking to implement effective retrospective sessions within their teams.

Cybersecurity expert Rachel Velasco embodied a hacker mindset to help companies defend their enterprise environments...

Deep learning models of the universe could help to solve fundamental and persistent questions in cosmology.

At CSE21, Silvia Crivelli used natural language processing techniques to help doctors identify Veterans who are at risk for suicide.

Tobias Grafke used experimental data and instanton theory to model rogue waves as extreme events at CSE21.

During CSE21, Daniela Calvetti presented a robust metapopulation model that accounts for the complex nuances of...

A new machine learning pipeline provides a flexible and reproducible way to model supernova turbulence.

At CSE21, Renan Souza introduced AI4Seismic: an AI-driven platform to accelerate geological discoveries in the oil...

E. Bruce Pitman discussed emulators in coupled physical models in the context of outburst floods and lava domes at...

At CSE21, Carol Song explained the importance of building sustainable collaborative cyberinfrastructures.

At CSE21, Sharon Tettegah examined the characteristics of engineering curricula in an effort to increase diversity...

Cristina Campi described the creation and validation of a machine learning model for forecasting solar flares at...

At CSE21, Kengo Nakajima described earthquake simulations done with a new supercomputer software platform.

At CSE21, David Vartanyan modeled the gravitational wave and neutrino signatures of core-collapse supernovae.

J. Austin Ellis presented a machine learning workflow that speeds up molecular dynamics simulations at CSE21.

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