Project: Cluster Identification via a New Distance function on Vertices in Networks

Mentors: Jim Lawrence (GMU), Isabel Beichl (NIST), Fern Hunt (NIST)

Placement: Research scientist, Army Cyber Institute

Elie has been supported by the program in 2016-2017. He worked with a group at NIST led by Dr. Hunt and Dr. Beichl, and was advised by Dr. Jim Lawrence at GMU. His project was focused on identifying optimal target sets in network models. He was hired as faculty at West Point academy right after graduation and is also employed as Army Cyber Institute's research scientist.

Project: Analyzing and Extending the Discrete-to-Measure Gradient Flow Using Higher Order Voronoi Diagrams

Mentors: Tom Wanner (GMU), Spaceflight Industries team

Placement: Lead Data Scientist, Spaceflight Industries

Patrick was supported by the program in 2016-2017, working jointly with Dr. Tom Wanner and a team at Spaceflight Industries, a DC-area based geospatial intelligence company focused on providing low cost satellite imagery. He developed smoothing algorithms and tested them on LiDAR data provided by the company. He graduated in Spring 2017 and assumed a position as Lead Data Scientist at Spaceflight Industries.

Project: Density Based Clustering and its Application to Image Segmentation

Mentors: Tim Sauer (GMU), Gunay Dogan (NIST)

Placement: Postdoc at ICERM, Brown University

Marilyn was part of the program in years 2016-2018. She spent one day a week as a guest researcher at NIST, adapting the image segmentation algorithms she developed as part of her dissertation to materials design problems. Her Python codes have been incorporated into NIST-owned widely used OOF package for analyzing materials microstructure. She graduated in Summer 2018 and accepted a postdoctoral researcher position at Brown University's ICERM center, one of the most prestigious applied math research centers in US. She went on to a postdoc position at MBI, OSU.

Project: Stochastic Enumeration with importance sampling

Mentors: Jim Lawrence (GMU), Isabel Beichl (NIST)

Placement: Tenure-track Assistant Professor, Susquehanna University

Alathea was a student of Dr. Lawrence who worked with Isabel Beichl at NIST in 2016-2018. She worked on generalizing the Stochastic Enumeration algorithm and proving its correctness and bounds on variance. She accepted a tenure-track position at Susquehanna University starting Fall 2018.

Project: Inverse Problems with Nonlocal Operators and Classification Problems in Deep Learning

Mentors: Harbir Antil (GMU), Zichao (Wendy) Di (Argonne National Lab)

Placement: Staff Scientist, NRL

Ratna was part of the IIP program in 2018-2020. She worked on deep learning and imaging problems collaborating with colleagues from several national labs. During summer, she worked at Argonne as part of the NSF MSGI graduate internship program. She is a recipient of the prestigious Givens Fellowship and was a runner up for Wilkinson and von Neumann Fellowships. She received several offers from Sandia National Lab and Laurence Livermore National Lab and chose to accept a staff position at Naval Research Lab in 2020.