Orfeas Liossatos

I get excited about research and engineering for video games. My interests lie in art technology, especially character animation.

My personal goals are to make games, become a swordsman, understand the universe, and play in a band.

Resume

Education

• Msc. Data Science, EPFL [Sep. 2022 - Dec. 2026]
  • Minor in Mathematics.
• Bcs. Computer Science, EPFL [Sep. 2019 - Jun. 2022]
  • Exchange programme, University of Edinburgh.

Languages

I speak English and French fluently. I speak German and Greek at an intermediate level. I'm learning Mandarin.

Skills

As a programmer, I think at both the hardware and software architectural levels. I love mathematical and physical computation.

Professional Experience

• Tools Programmer Assistant, Ubisoft[Feb. 2024 - Aug. 2024]

I worked with the Character Animation team of the Anvil game engine in Paris. My contributions were the following.

• Lifted pain points for animators and developers by fixing visual glitches, adding user settings, restoring the crash reporting system, and unblocking changelists.
• Cutting down pre-production costs by allowing more data to be shared between productions.
• Empowering producers to make informed decisions about whether to deprecate or integrate experimental features by analyzing internal developer data.
• Facilitating the integration of new animation technology into the engine, as well as future research endeavors, by documenting the underlying mathematical methods.

• Student Assistant, EPFL[Sep. 2020 - Jun. 2025]

I tutored hundreds of students in the basics of computer science and engineering, focusing on building confidence and cultivating joy in learning.

• I.C.C.[Autumn 2022, 2023, 2024]
• Analysis I [Autumn 2020, 2023, 2024]
• Probability and Statistics [Autumn 2023, 2024]
• Object Oriented Programming[Spring 2023]
• Digital System Design [Spring 2021]
• Linear Algebra [Autumn 2020]

Academic work

• Master Research Project: Identifying a sample complexity gap between convolutional and fully connected neural networks. [link]
• Supervisor: Thomas WEINBERGER
• Machine Learning Course Project: Mining Effective Strategies for Climate Change Communication. [link]
• Collaborators: Henrique DA SILVA GAMEIRO, Francis MURRAY
• Supervisor: Aswin SURESH
• Optimisation for Machine Learning Course Project: Adaptive Sharpness and Generalization. [link]
• Collaborators: Hadi HAMMOUD, Léo NICOLLIER
• Tournesol: A quest for a large, secure, and trustworthy database of reliable human judgements. [link]
• Collaborators: Lê-Nguyên HOANG, Louis FAUCON, Aidan JUNGO, Sergei VOLODIN, Dalia PAPUC, Ben CRULIS, Mariame TIGHANIMINE, Isabela CONSTANTIN, Anastasiia KUCHERENKO, Alexandre MAURER, Felix GRIMBERG, Vlad NITU, Chris VOSSEN, Sébastien ROUAULT, El-Mahdi EL-MHAMDI

Other Activites

Music

• Quintessence Sextet[2023]
• Mozart sinfonie concertante in E-flat major, Elgar enigma variations (Cello).
• OSM - Orchestre de Saint-Maurice[2015 - 2023]
• Bi-annual concerts (Cello).
• OSUL - Orchestre Symphonique Universitaire de Lausanne[2022]
• Rachmanninov piano concerto no. 2, Dvorak symphony no. 7 (Cello).

Sports

• Just Saber, Ubisoft[2024]
• Light saber dueling club.
• Salsa Cubana, EPFL[2023, 2024]
• Cuban salsa dance club.
• Kendo Club, UOE[2022]
• Taishou at the UK University Taikai.

Associations

• Lausanne Artificial Intelligence Association, EPFL[2023]
• Organized reading group, catered for members.
• Lausanne Alignment Club, EPFL[2021]
• Organized reading group, invited guest speakers.

Classes

These are the university classes that I have completed, are in progress*, or I studied alone† in alphabetical order.