NCSI: Deep Learning for Informatics

Status	Completed
Mentor Name	Xinlian Liu
Mentor's XSEDE Affiliation	Campus Champion, Campus Champion Fellow, Education Allocation
Mentor Has Been in XSEDE Community	4-5 years
Project Title	Deep Learning for Informatics
Summary	The student intern will learn and practice deep learning methods and strategies under supervision. In particular, the student will work on training deep neural networks with medical and biomedical informatics data.
Job Description	1. Acquire, prepare data sets 2. Outreach to local public schools 3. Document workflow of performing computational sciences research and hold a public workshop 4. Train neural networks to extract features in medical and biomedical data 5. Co-author a research paper or poster to be submitted to a professional conference
Computational Resources	We will use the Bridges at PSC.
Contribution to Community
Position Type	Apprentice
Training Plan	1. The student will be guided to study Deep Learning by following "Deep Learning with Python (Francois Chollet)"; 2. The student will be guided to read Bridges User Guide and beginner training materials of XSEDE. 3. The student will be mentored about ethics and protocols on working with medical and biomedical data; 4. The student will be mentored on training deep neural networks with medical data 5. The student will have an opportunity to meet with domain expert in biomedical research for guidance.
Student Prerequisites/Conditions/Qualifications	Background in 1) Statistics; 2) Linear Algebra Programming proficiency Strong work ethics Positive attitude
Duration	Summer
Start Date	05/27/2019
End Date	08/10/2019