Research in PLTC is conducted by individual researchers, working in groups or teams, perhaps joined with other research groups or individuals inside or outside University of Copenhagen. In the PLTC section, we have identified multiple research groups. Each individual researcher may or may not be part of several groups.

Decentralized Systems

We research and develop foundations, technology and applications of efficient and secure networked/distributed computer systems controlled by multiple independent principals. This includes blockchain and distributed ledger technology, event-driven architectures, large-scale transaction processing and analytics (Big Data), streaming and real-time data processing, domain-specific languages embodying domain knowledge and deep computer science techniques, digital and smart contract technology, and more. (Fritz Henglein, Omri Ross)

Security & Privacy

We work primarily on software-based security and privacy preservation techniques and applications. Emerging research topics are quantum cryptography and compositional safety and security models for industrial systems. (Ken Friis Larsen, Thomas Jensen, Andrzej Filinski)

HOT Lab

We design and develop theoretical and practical techniques for implementing and analysing advanced Higher-Order and Typed programming languages. We maintain and develop Moscow ML and MLKit, two Standard ML compilers, and conduct research into the development of advanced optimisation techniques, including region-based memory management, techniques for reactive web-development, and domain-specific languages. (Martin Elsman, Ken Friis Larsen, Torben Mogensen)

Program Inversion and Reversible Computing

We study reversible computing with a focus on garbage-free computation models and design of programming languages in these. Relations to other areas include IT-security, computer systems, and quantum computation. (Robert Glück, Torben Mogensen, Michael Kirkedal Thomsen)

Programming Language Theory and Technology

Our research covers theoretical and practical research of programming languages with a focus on automatic program optimization, analysis and transformation. (Thomas Jensen, Fritz Henglein, Martin Elsman)

Data-Parallel Programming for Modern Architectures

We conduct language and compiler research, particularly with respect to using functional techniques for generating efficient code for modern high-performance architectures, including GPUs and multicore CPUs. (Troels Henriksen, Cosmin E. Oancea, Martin Elsman, Ken Friis Larsen, Fritz Henglein)

Probabilistic Programming

In the the deep probabilistic programming group, the PLTC section hosts a team of exceptional researchers who specialize in deep probabilistic programming. This cutting-edge field combines the rigor of Bayesian statistics with the versatility of deep learning to tackle a wide range of applications. The group’s research spans several areas, including the development of new Bayesian inference techniques based on Stein variational inference, as well as the application of high-performance computing methods using the in-house developed FUTHARK language. We also investigate various applications in bioinformatics, such as protein structure prediction, and work with industry partners to develop AI-driven vaccine design and manufacturing solutions. The group is actively involved in the advancement of two popular deep probabilistic programming languages, Pyro and Numpyro. With our expertise and resources, we aim to push the boundaries of this exciting field of probabilistic machine learning and make valuable contributions to the scientific community. (Thomas Hamelryck, Fritz Henglein)

Financial Transparency

The Financial Transparency Group is an interdisciplinary research group that promotes applied multidisciplinary research with industry partners addressing computational challenges in the financial industries focused mainly on making financial markets more transparent and inclusive. (Omri Ross)

Quantum Programming

The Quantum Programming Group studies the design and use of programming languages in the context of quantum computing. (James Avery, Michael Kirkedal Thomasen, Fritz Henglein, Thomas Jensen)