Christian Engelmann

About Christian Engelmann

Dr. Christian Engelmann is a Distinguished Computer Scientist and the Intelligent Systems and Facilities Research Group Leader at Oak Ridge National Laboratory (ORNL), the US Department of Energy’s (DOE) largest multiprogram science and technology laboratory with an annual budget of $2.6 billion and staff. He has more than 24 years experience in software research and development for extreme-scale high-performance computing (HPC) systems. Dr. Engelmann’s research solves computer science challenges in HPC software, such as scalability, dependability, and interoperability.Dr. Engelmann’s primary expertise is in HPC resilience, i.e, efficiency and correctness in the presence of faults, errors, and failures. He is a leading HPC resilience expert and was a member of the DOE Technical Council on HPC Resilience 2013-15. He received the 2015 DOE Early Career Award for research in resilience design patterns. Dr. Engelmann’s secondary expertise is in system software for the instrument-to-edge-to-Cloud-to-center computing continuum, enabling science breakthroughs with autonomous experiments, self-driving laboratories, smart manufacturing, and artificial intelligence (AI) driven design, discovery and evaluation. He further has expertise in lightweight simulation of future-generation extreme-scale supercomputers, studying the impact of hardware/software properties on performance and resilience for application-architecture co-design. Dr. Engelmann is also an expert in operating system and runtime software for parallel and distributed systems.Dr. Engelmann earned a Dipl-Ing.(FH) in Computer Systems Engineering from the University of Applied Sciences Berlin, Germany, and a M.Sc. in Computer Science from the University of Reading, UK, both in 2001 as conjoint degrees, and a Ph.D. in Computer Science from the University of Reading in 2008. He is a Senior Member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers He is also a Member of the Society for Industrial and Applied Mathematics (SIAM) and the Advanced Computing Systems Association (USENIX).

Experience

1. Distinguished R & d Staff

   Oak Ridge National Laboratory

   Apr 2025 — Present · Oak Ridge, TN, US

   Develop efficient privacy-preserving federated learning algorithms for large-scale foundation models- Create an error- and failure-resilient federated ecosystem for instrument science

Education

• Hochschule für Technik und Wirtschaft Berlin

  Dipl.-Ing (FH), Computer Systems Engineering

  1996 — 2001

• University of Reading

  PhD, Computer Science

  2004 — 2008

• University of Reading

  MSc, Computer Science

  2000 — 2001

Skills

• Mpi
• Fortran
• Co-Design
• System Architecture
• Simulation
• High Performance Computing
• Simulations
• Operating Systems
• C++
• C
• Programming
• Resilience
• Supercomputing
• Perl
• Embedded Systems
• Portability
• Research
• Cloud Computing
• Computer Science
• High Performance Computing (Hpc)
• Computer Architecture
• Scientific Computing
• Distributed Systems
• Scalability
• Parallel Programming
• Software Engineering
• Dependability
• Algorithms
• Fault Tolerance
• Parallel Computing
• Software Development
• Latex
• Bash