Marcin Lawenda

HPC, parallel processing, distributed computing, scheduling
profiling, optimization, co-design
AI, machine learning, data analytics
biodiversity, natural history collection systems, collection assessment

Marcin Lawenda's photo
CARPENT TUA POMA NEPOTES
The fruits of your work will be
gathered by your grandchildren

- Virgil Eclogues

I am a senior researcher at PSNC1 specialising in high-performance and distributed computing, large-scale scientific infrastructures, and advanced computational platforms supporting data- and compute-intensive research. My work focuses on bridging foundational systems research with practical, scalable solutions for modern scientific challenges. You can reach me at LinkedIn2.

Biography

I hold an M.Sc. in Computer Science (Parallel and Distributed Computation) and a Ph.D. in Computing Science from the Poznań University of Technology2. My early research addressed scheduling algorithms and divisible load theory for parallel and distributed environments, providing a strong methodological basis for later work in high-performance computing systems.

Over more than two decades at PSNC, I have contributed to the design, development, and operation of national and European research infrastructures. I have held leading roles in numerous EU-funded and national projects, acting as project coordinator, work-package leader, deputy project manager, and quality manager. My responsibilities have spanned technical research, infrastructure integration, coordination of multidisciplinary teams, and quality assurance of complex collaborative projects.

In recent years, my research has increasingly focused on large-scale environmental simulations, coupled multi-model workflows, and digital twins addressing global challenges. I am particularly interested in the convergence of high-performance computing, high-performance data analytics, and AI, as well as in sustainable and energy-aware computing infrastructures. My work enables reliable, efficient, and scalable computational platforms that support advanced scientific research and long-term infrastructure impact.

Research Interests

Current Research Focus

My current research concentrates on enabling efficient and scalable execution of complex simulations on modern HPC architectures, with particular emphasis on environmental and global-challenge applications. This includes performance and energy trade-off analysis, coupling of simulation models with data analytics workflows, and operational aspects of deploying digital twins on production-level research infrastructures.

Projects & Roles (Selected)

Professional education

  1. B.Sc. in Computing Science, Poznan University of Technology; 1998
  2. M.Sc. in Computing Science (major: Parallel and Distributed Computing), Poznan University of Technology; 2000
  3. Ph.D. in Computing Science (major: Divisible Load Scheduling), Poznan University of Technology; 2006

Honors & Awards

Memberships

Scientific identifiers

Scientific profiles

Contact

Poznan Supercomputing and Networking Center1
Supercomputing Department
ul. Jana Pawła II 10
61-139 Poznań, Poland
tel: (+48 61) 858-20-51
email: marcin [dot] lawenda [at] man [dot] poznan [dot] pl

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1. PSNC website https://www.psnc.pl.

2. LinkedIn profile https://www.linkedin.com/in/marcin-lawenda/.

3. Poznań University of Technology https://put.poznan.pl/en.

4. Polish Information Processing Society https://pti.org.pl/eng/.

5. Big Data Value Association https://bdva.eu.