Eugenio Marinelli

GPU/HPC Software Engineer & Researcher

Building GPU-accelerated systems for genomics and scientific computing, with a focus on parallel architectures, high-performance kernels, and scalable data-intensive workflows.

Experience

Where I've worked

2024 — Present

Research Engineer · HPC & GPU Systems

EURECOM · Sophia Antipolis, France

Developing GPU-accelerated systems for large-scale genomic analysis, with a focus on BQSR acceleration, parallel kernel design, and end-to-end performance optimization across CUDA/SYCL backends.

CUDASYCLC++HPCGPU SystemsGenomics
2021 — 2024

Doctoral Researcher

EURECOM · Sophia Antipolis, France

Designed and implemented scalable systems for synthetic DNA data storage and computational genomics, including motif-based encoding/decoding workflows, error-tolerant retrieval methods, and accelerator-aware algorithms for data-intensive pipelines.

PhDC++GenomicsDNA StorageParallel ComputingResearch
Jun — Sep 2022

Research Intern

CERN · Switzerland

Contributed to scientific computing workflows in a large-scale research environment, working on C++ software components and performance-oriented tooling for high-throughput experimental data processing.

Scientific ComputingC++ResearchLarge-Scale Systems
Jul — Dec 2020

Research Intern

EURECOM · Sophia Antipolis, France

Worked on early research prototypes for GPU-accelerated data processing, contributing C++/SYCL implementations and performance experiments that later informed doctoral research directions.

ResearchSoftware EngineeringC++Systems

Projects

Featured work

X-BQSR
Holistic acceleration of Base Quality Score Recalibration for scalable genomic analysis, focused on high-throughput GPU execution and end-to-end pipeline performance.
GPU AccelerationGenomicsHPCBQSR
CMOSS
Reliable motif-based columnar molecular storage system for synthetic DNA data storage, focused on robust encoding, retrieval, and error-tolerant data organization.
DNA StorageC++Molecular StorageError Tolerance

Publications

Research contributions

X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis

E. Marinelli*, I. D. Kabadzhov*, R. Appuswamy

Euro-Par 20262026Accepted, to appear

CMOSS: A Reliable, Motif-based Columnar Molecular Storage System

E. Marinelli, Y. Yan, L. Tattini, V. Magnone, P. Barbry, R. Appuswamy

ACM SYSTOR2024

Towards Migration-Free "Just-in-Case" Data Archival for Future Cloud Data Lakes Using Synthetic DNA

E. Marinelli, Y. Yan, V. Magnone, C. Dumargne, P. Barbry, T. Heinis, R. Appuswamy

PVLDB2023

Using Soft Information to Improve Error Tolerance of Motif-Based DNA Storage Systems

E. Marinelli, V. Magnone, M. C. Dumargne, P. Barbry, R. Appuswamy

DSP2023

OneJoin: Cross-Architecture, Scalable Edit Similarity Join for DNA Data Storage Using oneAPI

E. Marinelli, R. Appuswamy

ADMS2021

XJoin: Portable, Parallel Hash Join Across Diverse XPU Architectures with oneAPI

E. Marinelli, R. Appuswamy

DaMoN2021

Digital Preservation with Synthetic DNA

E. Marinelli, E. Ghabach, T. Bolbroe, O. Sella, T. Heinis, R. Appuswamy

BDA2021

DNA4DNA: Preserving Culturally Significant Digital Data with Synthetic DNA

E. Marinelli, E. Ghabach, T. Bolbroe, O. Sella, T. Heinis, R. Appuswamy

iPRES2021

Contact

Let's connect

I'm always interested in discussing GPU computing, HPC research, or potential collaborations. Feel free to reach out by email or connect with me on social media.

Location

France

Open to relocation / remote in Europe