Oliver Alvarado Rodriguez

Oliver Alvarado Rodriguez

Computer Scientist

New Jersey Institute of Technology

Biography

Oliver Alvarado Rodriguez is an incoming Software Engineer at Hewlett Packard Enterprise working on the Advanced Development Team where he will join the Chapel project. He successfully defended his Ph.D. dissertation in March 2025 at the New Jersey Institute of Technology under the advisement of Distinguished Professor David A. Bader. His dissertation, “On the Design of a Framework for Large-Scale Exploratory Graph Analytics,” focused on the development of Arachne, a novel framework designed to bridge the gap between high-performance computing and Python-based exploratory graph analytics. Oliver earned his B.S. in Computer Science with a minor in Mathematics from William Paterson University in Wayne, NJ, graduating summa cum laude in May 2020. During his undergraduate studies, he was a member of the Honors College, the Upsilon Pi Epsilon Honor Society for the Computing and Information discipline, and was honored with the Omicron Omega Award for excellence in Computer Science. During his Ph.D. studies, Oliver served as the student keynote speaker at the Academic Data Science Alliance meeting, delivering the talk “Enabling Exploratory Large-Scale Graph Analytics through Arkouda” that laid the groundwork for his Ph.D. dissertation.

Interests
  • High Performance Computing
  • Large-Scale Graph Analytics
  • Data Science
Education
  • Ph.D. in Computer Science, 2025

    New Jersey Institute of Technology

  • B.S. in Computer Science, 2020

    William Paterson University

Recent Publications

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(2024). Community Detection in Hypergraphs via Mutual Information Maximization. In Scientific Reports.

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(2023). Property Graphs in Arachne. In HPEC.

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(2023). Triangle Counting Through Cover-Edges. In HPEC.

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(2023). Arachne: An Open-Source Framework for Interactive Massive-Scale Graph Analytics. In IPDPS.

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(2022). Arachne: An Arkouda Package for Large-Scale Graph Analytics. In HPEC.

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Recent Experience

For complete work history refer to my curriculum vitae.

 
 
 
 
 
Research Assistant
May 2021 – Present New Jersey
Designed, implemented, and analyzed algorithms for high performance graph and data analytics. Explored the research process from literature review through algorithm design, implementation, and performance optimization.
 
 
 
 
 
Chapel Programming Language Intern
Jun 2024 – Sep 2024
Benchmarked high-performance distributed and parallel implementations of graph generation and breadth-first search in Chapel against the Graph500 benchmark that uses C with MPI. Presented results to the Chapel development team and HPE’s High-Performance Computing Advanced Development Organization. Provided actionable feedback to enhance Chapel’s support for irregular applications like graph analytics, including recommendations for improved user support in selecting between processor and network atomics, as well as suggestions for a more flexible communication aggregation library. Integrated this work into the Arachne graph analytics framework, achieving up to 76x speedup in distributed breadth-first search over the original implementation.
 
 
 
 
 
Teaching Assistant
Sep 2020 – Apr 2021 New Jersey
Instructed lab sessions for 50+ students to demonstrate the practicability of topics learned in lecture. Provided extra tutoring for 20+ students who struggled with the material presented in both lab and lecture
 
 
 
 
 
Data Science Intern
Jun 2020 – Aug 2020 New Jersey
Researched machine learning classification algorithms best suited for text data. Created an API that pulled pertinent information from databases, predicted sex given at birth for insurance leads, and returned a new table for their sales team. Managed project through Chubb’s enterprise GitHub and worked on an Agile software development schedule. Presented progress weekly to supervisor and larger data science team.

Honors & Awards

SC22 Student Travel Awards
Travel grant award to attend The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2022. Acceptance rate of <20%.
Mathematics Research Community Participant
Week-long workshop solving problem(s) related to hypergraphs. Acceptance rate of <50%.
Omicron Omega Award for Excellence in Computer Science
Awarded to the highest-GPA graduating senior in computer science.
Upsilon Pi Epsilon International Honor Society
Admittance to computer science students who maintain at least a B average in all courses.

Recent & Upcoming Talks and Tutorials

Listed here are talks and tutorials at conferences, workshops, etc. that are not tied to a specific publication.