Julian Togelius

Julian Togelius

Associate Professor

Department of Computer Science and Engineering

Tandon School of Engineering, New York University

370 Jay St. Room 610, Brooklyn, NY 11201, USA

Director of the NYU Game Innovation Lab

Head of AI, Nof1

Co-founder, modl.ai

IEEE Fellow

julian@togelius.com

View / Download CV (PDF)

Research Interests

I'm an AI researcher interested in creativity, video-games, and open-endedness. In my research, I try to answer questions such as:
Many of my research contributions relate to the application of AI in video games. In particular, I have introduced new methods for the procedural generation of game content, human-like game playing, mixed-initiative design, and game adaptation based on models of player experience. But I have also developed AI methods for applications in areas as as diverse as biometric security, oil field modeling, personnel selection, and music composition. While my primary algorithmic contributions are in evolutionary computation, especially quality-diversity search methods, I happily engage with algorithms from across the whole wide field of artificial intelligence. And while I'm pretty good at solutions, I'm great at problems; some of my main contributions to AI have been in defining new research problems and creating new, often game-based, research environments and benchmarks.
I don't like not writing. Sometimes I write books, both technical textbooks and books meant to be accessible for a wider audience. I also write blog posts of varying quality. And (parts of) papers, of course.
What else? Well, I have a habit of starting small companies and advising larger ones. I am currently Head of AI for Nof1. We build bots that play, I mean trade, on the markets. I also a member of Unity's AI Council, and in the past I co-founded modl.ai.
I believe AI should be complementary to human cognition and creativity, because I want human knowledge and creativity to continue to matter. How to make the various technologies we call artificial intelligence work for us rather than the other way around is the crucial question of our times. I don't know the answer, but I keep looking.

Current PhD Students

Sam Earle (2020–2026, NYU): Open-ended Learning through Procedural Content Generation
[Google Scholar]
Catalina Jaramillo (2019–2025, NYU, part time): Fairness in AI-assisted Assessment
[Google Scholar]
Graham Todd (2021–2026, NYU): Game Generation through Quality-Diversity and Foundation Models
[Google Scholar]
Zehua Jiang (2022–2026, NYU): Reinforcement Learning for Content Generation
[Google Scholar] [Homepage]
Maria Edwards (2022–2026, NYU, part time): LLMs for Creativity Support
[Google Scholar]
Matthew Siper (2022–2026, NYU): Autoregressive Content Generation with the Path of Destruction
[Google Scholar]
Jesse Lew (2021–2026, NYU, part time): Augmentation Strategies for Computer Vision
[Google Scholar]
Tim Merino (2023–2027, NYU): Generative Models for Game Content
[Google Scholar]
Yuchen Li (2024–2028, NYU): Research areas: Procedural Content Generation (PCG); human-in-the-loop PCG; reinforcement learning for PCG; LLM agents for gameplay and game design.
[Google Scholar] [Homepage]
Debosmita Bhaumik (2022–2025, University of Malta, secondary advisor): Constrained Mixed-Initiative Content Generation
[Google Scholar]
Muhammad Umair Nasir (2022–2026, University of the Witwatersrand, secondary advisor): Practical PCG Through Large Language Models
[Google Scholar]

Past PhD Students

Anubhav Jain (2022–2025, NYU, secondary advisor): Fairness and Controllability in Image Generation
M Charity (2019–2024, NYU): Online Creative Collaborative Content Generation
Alberto Alvarez (2018–2023, Malmö University, secondary advisor): Exploring game design through human-ai collaboration
Ruben Rodriguez Torrado (2017–2022, NYU): Learning Simulation-based Policies
Michael Green (2016–2022, NYU): Tutorial generation in video games
Rodrigo Canaan (2017–2021, NYU, secondary advisor): Collaborative Design Innovation Games
Gabriella Barros (2014–2018, NYU): Data Games
Tiago Machado (2015–2019, NYU): Mixed-initiative game design tools
Andre Mendes (2015–2020, NYU): Multi-stage learning for selection tasks
Philip Bontrager (2015–2020, NYU): Exploring latent space in generative models
Ahmed Khalifa (2015–2020, NYU): General video game level generation
Marco Scirea (2014–2017, ITU Copenhagen): Affective Music Generation and its effect on player experience
Steve Dahlskog (2012–2016, Malmö University): Patterns and procedural content generation in digital games
Christoffer Holmgård (2012–2015, ITU Copenhagen): Player decision modeling with procedural personas
Antonios Liapis (2011–2014, ITU Copenhagen): Mixed-initiative Game Design Automata
Corrado Grappiolo (2010–2014, ITU Copenhagen): Unveiling Collaborative Group Identities in Social Synthetic Environments from Interaction Data
Noor Shaker (2009–2013, ITU Copenhagen): Towards Player-Driven Procedural Content Generation
Tobias Mahlmann (2009–2013, ITU Copenhagen): Modelling and Generating Strategy Game Mechanics
Afsaneh Doryab (2009–2012, ITU Copenhagen, secondary advisor): Context-aware information adaptation in collaborative settings

Publications

Google Scholar