Prof Frederic Fol Leymarie

Frederic works on creativity and AI systems, including robots which can perform artistic skills similar to humans.

Staff details

Prof Frederic Fol Leymarie






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Frederic works on creativity and AI systems, including robots which can perform with artistic skills similar to expert humans.

He also conducts work with specialists in the biosciences, helping to develop interactive computer environments (occasionally in the form of serious games) to facilitate the study of complex biomolecular problems (folding, docking).

Frederic has a long term interest in shape understanding where he combines knowledge from perception, vision science, AI, the visual arts. Frederic joined Goldsmiths in 2004, when he launched an MSc in Arts Computing.

Outside academia, Frederic leads the consulting activity London Geometry in partnership with Prof. William Latham.

Academic qualifications

Ph.D. (Brown University, 2003).


Frederic is programme leader with William Latham of the MSc Computer Games & Entertainment. In the past few years, his focus has been on teaching maths and graphics to our MSc Computer Games & Entertainment students.

The programme lasts two terms (Autumn+Winter/Spring). The evaluation is essentially based on individual and team projects. Typical topics covered include linear algebra, complex numbers and quaternions, interpolation in curves and surfaces, meshes and light rendering.

Each year brings some new topics. In the past two years Frederic has developed lectures on the use of machine learning in computer games. I also teach (together with Andy Thomason) the 'Physics and Animation in Games' module (1 term). He also mentors Year 2 BSc Computer Science team projects and occasionally final year individual projects.

Publications and research outputs

Edited Book

Leymarie, Frederic Fol; Bessette, Juliette and Smith, G.W., eds. 2020. The Machine as Art/ The Machine as Artist. Basel, Switzerland: MDPI. ISBN 9783039360642

Book Section

Berio, Daniel; Leymarie, Frederic Fol and Plamondon, Rejean. 2020. Kinematics Reconstruction of Static Calligraphic Traces from Curvilinear Shape Features. In: Rejean Plamondon; Angelo Marcelli and Miguel Ángel Ferrer, eds. The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health. 88 World Scientific, pp. 237-268. ISBN 9789811226823

Berio, Daniel; Leymarie, Frederic Fol and Calinon, Sylvain. 2019. Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures. In: Nizar Bouguila and Wentao Fan, eds. Mixture Models and Applications. Cham, Switzerland: Springer Nature Switzerland AG, pp. 23-38. ISBN 9783030238759

Aparajeya, Prashant; Leymarie, Frederic Fol and al-Rifaie, Mohammad Majid. 2019. Swarm-Based Identification of Animation Key Points from 2D-medialness Maps. In: Anikó Ekárt; Antonios Liapis and María Luz Castro Pena, eds. Computational Intelligence in Music, Sound, Art and Design. 11453 Cham, Switzerland: Springer, pp. 69-83. ISBN 9783030166663


Riechmann, Miklas; Gardiner, Ross; Waddington, Kai; Rueger, Ryan; Leymarie, Frederic Fol and Rueger, Stefan. 2022. Motion vectors and deep neural networks for video camera traps. Ecological Informatics, 69, 101657. ISSN 1574-9541

Berio, Daniel; Leymarie, Frederic Fol; Asente, Paul and Echevarria, Jose. 2022. StrokeStyles: Stroke-based Segmentation and Stylization of Fonts. ACM Transactions on Graphics, 41(3), 28. ISSN 0730-0301

Salimbeni, Guido; Leymarie, Frederic Fol and Latham, William. 2022. A Machine Learning Application Based on Giorgio Morandi Still-Life Paintings to Assist Artists in the Choice of 3D Compositions. Leonardo, 55(1), pp. 57-61. ISSN 0024-094X

Conference or Workshop Item

Jamalian, Nima; Gillies, Marco; Leymarie, Frederic Fol and Pan, Xueni. 2022. 'The Effects of Hand Tracking on User Performance: an experimental study of an object selection based memory game'. In: 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). Singapore, Singapore 17-21 October 2022.

Lai, Gorm; Kultima, Annakaisa; Khosmood, Foaad; Pirker, Johanna; Fowler, Allan; Vecchi, Ilaria; Latham, William and Leymarie, Frederic Fol. 2021. 'Two Decades of Game Jams'. In: ICGJ 2021: Sixth Annual International Conference on Game Jams, Hackathons, and Game Creation Events. Montreal, Canada 2 August 2021.

Gerard, Pierre-François; Leymarie, Frederic Fol and Latham, William. 2021. 'The Effect of Spatial Design on User Memory Performance Using the Method of Loci in VR'. In: 7th International Conference of the Immersive Learning Research Network (iLRN). Eureka, California, United States 17 May-10 June 2021.


Latham, William and Leymarie, Frederic Fol. 2007. The History of the Species in Sketch.


Latham, William; Todd, Stephen; Putnam, Lance; Todd, Peter and Leymarie, Frederic Fol. 2016 - 2020 Mutator VR.


Leymarie, Frederic Fol. 1990. Tracking and Describing Deformable Objects Using Active Contour Models. Technical Report. Montreal, Quebec, Canada

Leymarie, Frederic Fol and Levine, Michael. 1989. Snakes and Skeletons. Technical Report. Technical Report TR-CIM-89-1, Montreal, Quebec, Canada.

Leymarie, Frederic Fol and Levine, Michael. 1988. Curvature morphology. Technical Report. Technical Report TR-CIM-88-26, Montreal, Quebec, Canada.


Latham, William; Tanaka, Atau and Leymarie, Frederic Fol. 2014. Creative Machine. In: "Creative Machine", St James Hatcham Church Gallery, Goldsmiths, University of London, 7 - 14 November 2014.


Leymarie, Frederic Fol. 2003. Three-Dimensional Shape Representation via Shock Flows. Doctoral thesis, Brown University, U.S.A.

Research Interests

Areas of supervision:

  • Computer vision and computer graphics
  • AI, Machine Learning and Creativity
  • Artistically skillful robots
  • Interactive platforms for the biosciences, including collaborative VR systems and serious games: Bioblox, CSynthFoldSynth
  • Intersection of the visual arts and live performances with computing, perception and robots.