Summer 2018
Brandon Barker
University of Tennessee
Mentor: Sean Couch
Effects of Input Nuclear Physics on Core Collapse Supernova Simulations
Mauwiz Chaudhary
Western Washington University
Mentors: Matthew Hirn & Yue Qi
Machine Learning From Quantum Chemistry
Theo Cooper
John Hopkins University
Mentor: Sean Couch
Fitting Turbulent and Convective Parameters in One-Dimensional Core-Collapse Supernova Simulations
Kendell Crowley
Arizona State University
Mentor: Hui-Chia Yu
Adaptive Mesh Refinement for the Smoothed Boundary Method
Kieran Fitzmaurice
University of Pittsburgh
Mentor: Hui-Chia Yu
Adaptive Mesh Refinement for the Smoothed Boundary Method
Hyunji Kim
George Washington University
Mentor: Kenneth M. Merz Jr.
Machine Learning to Predict Experimental Protein-Ligand Complex Structures
Chinaza Nnaluwezi
Hampton University
Mentors: Jianrong Wang & Arjun Krishnan
Linking Disease-associated Genetic Variants to Genes Using Sequence and 3D Contacts
Nikhil Shankar
University of Michigan
Mentors: Matthew Hirn & Yue Qi
An Extrapolation Model for Predicting Quantum Energies of Large Systems
Rochester Institute of Technology
Mentor(s): Alex Dickson, Arzu Uyar
Finding New Compounds for Soluble Epoxide Hydrolase (sEH) Inhibition Using Virtual Screening
The University of New Mexico
Mentors: Jianrong Wang & Arjun Krishnan
Model Ranking and Validation Criterions in Word Embeddings for Biomedical NPL
University of Colorado Boulder
Mentor: Kenneth M. Merz Jr.
Machine Learning to Predict Experimental Protein-Ligand Complex Structures
Poster | Presentation
Norfolk State University
Mentor: Alex Dickson
Anakin-ME: Coupled Ligand-Protein Dynamics
Duke University
Mentors: Jianrong Wang & Arjun Krishnan
Using Deep Learning to Predict Long-Range Regulatory Networks Based on Protein-Protein Interactions