REU: Computing for Structure

clockwise from upper left: Jack Weissburg, Colin Jiang, Joshua Zahner, Nathan C. Fox, Michael Castellanos, Serena Nicholl, Nancy Newlin, Morgan Rosser, Blake Williams, not pictured Tate Bestwick.

Project Summary

Computing for Structure is an NSF Funded Research Experience for Undergraduates, created and directed by the University of Miami Department of Computer Science and Center for Computational Science. The program ran from May 21 to July 27, 2018 with the following REU student researchers:

The REU experience concluded with a poster presentation and closing ceremonies, on Friday, July 27, 2018. This presentation was held in the atrium of the Cox Science center, as was joint with the University of Miami Chemistry REU, PI'ed by Prof. Knecht as well as the Summer Undergraduate Research Fellowship Program (SURF).

See the ★ poster day brochure for all presentations. Below are the presentations funded by REU-CFS 2018.

The P.I. for the REU is Prof. Rosenberg of the Computer Science Department, but the real work went to the many mentors, listed as co-authors of the student presentations. These mentors were drawn from across the university, and volunteered to mentor the participants.

Please see last year's web page for a summary of prior REU's under the same grant.

Support for the program REU Site: Scientific Computing for Structure in Big or Complex Datasets is by the NSF grant CNS-1659144, program solicitation NSF 13-542, Research Experiences for Undergraduates (REU).

General Information

Boot Camp:

The Boot Camp has two parts, where the first is a comprehensive introduction to data-python and unix scripting. That runs Monday to Thursday, May 21–24.

Following are topics in computational science including grid/cluster computing, neural nets, and GPU's, which are given on Friday, Tuesday and Wednesday, May 25 to 30th, excluding Memorial Day on Monday.

The morning sessions are 9:30am – 12:00pm and the afternoon sessions are 1:30pm – 4:00pm. Both sessions are at the Computer Science computer lab, on the 3ird floor of the Ungar Building.

Part I:

Part II:

Professional Development Workshop

In coordination with the REU at the Chem Dept, we had a series of weekly workshops to help new scientist develop in their field and understand their future options.

Date and time: 3pm–5pm Fridays, either in the Cox science building, next to Ungar, or downtown on the Medical Campus, at the Gautier building. (excel format: spreadsheet)

But note underlined exceptions! E.g. time for June 8.

Friday, 1 June
Life as a Graduate Student, Panel discussion. Cox 166.
Friday, 8 June
Reading and Critiquing Scientific Literature, OGPS Pane. Gautier 118. 4pm–5:30pm.
Friday, 15 June
Graduate School Opportunities, Dr. Captain, Dr. Salas, Knecht and Deo. Gautier 118.
Friday, 22 June
Diversity and Inclusion in the Sciences, Dr. Symes, Gautier 118.
Friday, 29 June
Destination - Passion. My road to a Career in Academia. Dr Sophia George, Gautier 118.
Friday, 6 July
Research Outside of Academia: Industry, Dr. Sur, Gautier 118.
Tuesday, 10 July
Tips for an Effective Research Presentation, Dr. Emre Dikici. Gautier 118.
Friday, 13 July
Transitioning to an Independent Academic Career, Dr. Rai. Cox 166.
Friday, 20 July
Research Outside of Academia: Government, Dr. Li, Gautier 118.
Friday, 27 July
Research Symposium and Luncheon. 9:30am–3:00pm Cox Atrium.

Nature of Science Lecture Series / Research Seminars

A series of Wednesdays afternoon lectures with a historical or conceptual viewpoint of the development or practice of science. Some lectures in the series were devoted to an overview of specific research topics, relevant to the REU theme, by active researchers in those fields. On Thursdays at 3:30, in Ungar 300.

Thursday, 28 June
Prof. Ogihara, Computer Science. Humanities and Computation
Thursday, 5 July
Prof. Acevedo, Chemistry. Chemistry and Computation
Thursday, 12 July
Prof. Rosenberg, Computer Science. Truth, Knowledge, and Computation
Thursday, 19 July
Prof. Kirtman, Marine Sciences (RSMA). Climate and Computation


Computational Chemistry
Prof Acevado
Prof. Rosenberg
Neural Networks
Prof Schwartz
Luis Gonzales
Prof Uddin
Prof Lemmon
Ocean Science
Prof Iskandarani
Protein Networks
Prof Wuchty
Prof Messinger
Laura Vitale
Prof Milenkovic
Dr. Hadjixenofontos

With help and guidance from:

High Performance Computing
Joel Zysman
Kalan Dawson
Julie Garcia, Project Administration and Manager CSC
Prof. Sutcliffe, Chair Computer Science

Sponsored by the National Science Foundation

The NSF has set up the REU program in order to involve students in meaningful ways in ongoing research programs so as to attract talented students into careers in science and engineering.

The full title of this program is REU Site: Scientific Computing for Structure in Big or Complex Datasets and it is NSF grant CNS-1659144. The REU program is described in program solicitation NSF 13-542, Research Experiences for Undergraduates (REU).