USRC Interns

Meet our 2020 USRC interns.


Timothy Bargo


Timothy Bargo is an undergraduate student at the University of Illinois at Chicago pursuing a BS in Computer Engineering, and expected to graduate in 2022. In 2018, Timothy interned at Argonne National Laboratory where he worked on internet of things technologies with the Array of Things team. Today, he is an undergraduate research student with UIC's Electronic Visualization Laboratory where he works with composable infrastructure, and manages HPC systems. At USRC, Timothy is researching automation, and configuration for the Next Generation Software Stack.

Mentor: Evan Donato



Devon Bautista


Devon Bautista is a returning post-baccalaureate researcher at USRC/vHPC-DES who first arrived in 2019. His current project focuses on open source firmware in HPC cluster nodes and decreasing provisioning latency by moving much of the provisioning process from the operating system into the firmware. He graduated from Arizona State University in 2019 with a BS in Computer Systems Engineering and is currently pursuing an MS in Computer Engineering, also at ASU. He also has broad research interests, but is partial to anything systems-related such as the interaction between software and hardware. In his free time he also messes around with computers, makes/plays/listens to music, water skis, and enjoys camping.

Mentor: Lowell Wofford



Ezra Brooker


Ezra Brooker is a Computational Science PhD Candidate at Florida State University with the Department of Scientific Computing He previously attended Florida State University, earning a Bachelor's of Science in Physics and Astrophysics (2015). Ezra has also participated in previous LANL summer student programs outside of the USRC (2018,2019). His research interests include the detonability of white dwarf plasma in the Type Ia explosions, the core-collapse supernovae explosion engine, cosmic dust formation in the outflows of core-collapse supernovae, the influence of magnetic fields in astrophysical problems, and code development for scientific applications. His personal interests, to name a few, are reading, hiking, playing his bass guitar, and cooking. He is also a proud cat and dog owner. At the USRC, Ezra works on scaling up current dust formation models, developed over previous visits to LANL, porting the dust formation code to GPU use, and moving 1-D CCSNe hydro models into 2- and 3-D models to evolve the outflow for more physically realistic data for dust calculations..

Mentor: Christopher Mauney and Christopher Fryer



Prajwal Challa


I/O Systems Software Research and Development.

Mentor: Dr. Bradley Settlemyer



Katy Felkner


Katy is an incoming PhD student at the University of Southern California Information Sciences Institute. She graduated summa cum laude from the University of Oklahoma in May 2020, with a B.S. in Computer Science (math minor) and a B.A. in Letters. Katy’s research focuses on natural language processing, with a particular interest in machine translation of low-resource languages. This summer at USRC, Katy is working on natural language analysis of syslogs to detect, predict, and categorize node failures. Outside of research, Katy is passionate about diversity and K-12 outreach in STEM, and has led engineering programs for women, LGBTQ+ students, and K-12 girls.

Mentor: Lissa Moore



Dakota Fulp


Dakota Fulp is currently a MS student at Clemson University in the Holcombe Department of Computer Engineering. He completed his Bachelor’s degree in both Computer Science and Applied Physics in 2015 and 2013 respectively. In 2015, he worked remotely as a post-bachelor student researcher with NMC while working on a variety of different projects including development and improvements to the DECAF-FSEFI fault injection platform, enhancement of HPC log analysis through identifying message origin in source code, as well as improvements to the SaNSA platform. Dakota’s primary fields of research include lossy compression, fault tolerance, and data visualization. Specifically, his work focuses on understanding and improving the resiliency of lossy compressed data to soft errors as well as utilization of lossy compression for in-line data reduction.

Mentor: Dr. Laura Monroe



Tom Herschberg


Tom Herschberg is an undergraduate student pursuing a bachelor's degree in computer science from the University of Tennessee at Chattanooga. His research interests are high performance computing, MPI, networks, and cyber security. At the USRC, Tom works on improving the current MPI Sessions prototype in order to increase its performance and prepare it for integration into the main Open MPI code base. When he is not working with computers, Tom enjoys writing and performing jazz music and reading biographies..

Mentor: Dr. Howard Pritchard



Vanessa Job


Mentor: Dr. Laura Monroe



Onkar Patil


Onkar is a PhD student at North Carolina State University in the Department of Computer Science since 2016. He completed his Master's thesis program in Computer Science from the same university in 2014. After that he worked full-time for NetApp Inc. as Product Support Engineer for two years. He has also worked at Hewlett Packard Labs, Palo Alto and Oak Ridge National Laboratories, Oak RIdge as an intern. Onkar's current research field is primarily based on Compilers and Heterogeneous Memory architectures. His current work is focused on using static code analysis for automating memory placements in complex memory systems. He has previously worked with power consumption control for HPC systems, Predictable collective communication for on-chip mesh networks and Transactional HPC: a framework for stencil application in memory centric architectures.

During his time at NMC, Onkar focuses on memory allocation and placement for DRAM-NVM memory systems.

Mentor: Dr. Latchesar Ionkov



Stephen Penton


Stephen Penton is a post-bachelor researcher at NMC and is working on a variety of projects including statistical analytics of supercomputer memory failures using survival modeling, enhancements to the DECAF-FSEFI fault injection platform, and fault injection experiments with LLNL's DisCVar tool. He graduated from Coastal Carolina University earning a bachelor's in Computer Science (2017) as well as Applied Mathematics (2017). His research interests include data science, machine learning, artificial intelligence, computer vision, and adaptive algorithms. In his spare time, Stephen enjoys continuing to learn about multiple computer science and math topics, reading, and playing video games.

Mentor(s): Dr. Nathan DeBardeleben and Terry Grové



Braeden Slade


Braeden Slade graduated from Coastal Carolina University with a Bachelor’s Degree in Computer Science in spring of 2020. His interests include machine learning, data analytics, and working with clusters. At the USRC, he will be working with Dr. Nathan DeBardeleben on big data analytics using Spark. He also works as a teaching assistant for Dr. Reid at the Supercomputer Institute.

Mentor(s): Dr. Nathan DeBardeleben



Eli Snyder


(Richard) "Eli" Snyder graduated from Missouri University of Science and Technology with a Computer Engineering bachelor's of science in 2018. He began his Post-Bac that summer, working under Paul Peltz on the Next Generation Software Stack project. He began by writing and modifying Ansible playbooks to prepare for future migration from Warewulf to Ansible on production systems. He then moved on to attempting to create a central repository of RPMs using Open Build Service (OBS) as the core software, but was unable to successfully install it after several months of attempts. He is currently analyzing Slurm data and system logs to determine the reason for the multitude of memory errors that occurred on Trinitite during 2018. In the near future he will be returning to school to study Psychology in preparation for becoming a mental health therapist.



Sarah Stangl


Sarah Stangl is a student at the University of Oklahoma pursuing a PhD in Physics with an emphasis in Astrophysics. She received a Bachelor’s of Science in Physics and another Bachelor’s in Astrophysics with a minor in Mathematics from the University of Minnesota (2018). Her research interests include the formation of cosmic dust in core-collapse supernova explosions, spectral analysis of the supernova engine, and implementing computational algorithms and codes to model supernova explosions. Sarah enjoys hiking, kayaking, rock climbing, and going on long walks with her cat Ebenezer. At the USRC, Sarah works on scaled up current dust formation models, developed over previous visits to LANL, and move 1-D CCSNe hydro models into distributed 2- and 3-D models to evolve the outflow, along with the inclusion of more physically exact stellar conditions.

Mentor(s): Christopher Mauney, Christopher Frye



Daniel Wang


Daniel Wang is a post-baccalaureate researcher at NMC and is working on utilizing sparse coding neural networks to up-sample computational fluid dynamics simulations. He graduated from University of California, Berkeley with a Bachelors in Cognitive Science. His research interests include machine learning, cognitive neuroscience, and developmental psychology.

Mentor: Howard Pritchard