Julian Togelius
Associate Professor

I work on artificial intelligence and games. I research and develop methods for making games more fun, easier to design and develop, more adaptive, or just to enable games and interactive experiences that we cannot yet create. I'm interested in all kinds of games that people actually play: video games, board games, card games or mind games. When it comes to AI techniques I'm flexible and willing to engage with all kinds of methods, but my methodological roots are in evolutionary computation and neural networks. Some keywords that describe what I do are game AI, player modelling, procedural content generation, automatic game design, believable bot behaviour, coevolution, neuroevolution, genetic programming and monte carlo tree search.


Christoph Salge

I am a Marie Curie Global Fellow working on a project (INTERCOGAM) that uses intrinsic motivation formalisms to evaluate procedurally generated game content. While I technically work for the University of Hertfordshire, I am currently on a two year secondment to the Game Innovation Lab at NYU, where I work with Julian Togelius.

Ming Jin

Ph.D Candidate

Ming is a PhD student in Computer Science, working with Prof. Andy Nealen. His research interests are in 3D shape modeling and animation. He is currently working on some exciting new user interfaces for skeletal character animations.

Rodrigo Canaan

PhD student

Rodrigo is a PhD student in Computer Science at NYU. He got his B.Sc. in Computer Science from the Federal University of Rio de Janeiro (Brazil) and has previously worked as a Software Engineer in the Oil and Gas industry. He is now researching how AI can improve processes of design, using a game-like environment to achieve new levels of human-machine cooperation and co-creation.

Dan Gopstein

Dan graduated from Rutgers University, has worked for several years as a Software Engineer and is currently pursuing a PhD in Computer Science at NYU.

Philip J Bontrager

I am a Ph.D Candidate studying in the AI field and how to use it to address real world problems.  I am interested in the ways that games can be used to model problems or act as a training environment for people or AIs.  I did my undergraduate work at Goshen College in Math and Informatics.  At NYU I'm continuing the passions of my undergraduate work in my research on Artificial Intelligence.

Ahmed A Khalifa

Ahmed is a PhD Student in Computer Science at NYU. His main interest is in Game Design, Procedural Content Generation, and Game AI. He is also an indiegame developer/designer known as "Amidos". He has designed lots of puzzle, arcade, and a few action games (

Andre Mendes

Andre Mendes graduated in Mechatronics Engineering at PUCPR Brazil. He has received scholarship from and he is part of Fundação Estudar, an institution that supports outstanding Brazilian students and leaders in different fields. He is now pursuing his Ph.D. in Computer Science at NYU under supervision of professor Julian Togelius. His interests are machine learning, player modeling and neural networks.

Fernando de Mesentier Silva

Fernando has a B.Sc. in Computer Science and a M.Sc. in Computer Graphics from the Federal University of Rio de Janeiro (Brazil) and is now a PhD Student in the Computer Science Department, working with Prof. Andy Nealen. He is interested in using AI and possibly Computer Graphics to generate insights into a game's design. He is currently working on generating simple effective heuristics for playing games. He is also the co-founder of Asterism Game Studio LLC, currently working on the game Awkward Date.

Tiago Machado

Tiago is a PhD student in Computer Science, working under the supervision of prof. Julian Togelius. He obtained his B.Sc. and M.Sc. degree in Computer Science, both from the same institution, Federal University of Pernambuco (UFPE). He worked for many years as a STEM Consultant in a High School in his hometown, Recife (Brazil), using games to engage students. Nowadays, his main line of research resides in identify how Artificial Intelligence can provide assistance to game developers.

Michael Green

Michael is a Ph.D candidate in Artificial Intelligence studying under Julian Togelius at NYU. He graduated with two degrees in Computer Science and Business (BS) and Classical Civilizations (BA) from Lehigh University in 2016. He is currently working on projects involved in procedural content generation using open data, player modeling, evolution and genetic programming, Monte Carlo Tree Search, and automatic game generation.  His interests also include education and how it could be applied to video games.


Chris DiMauro

Tech Wizard

An alum of Polytechnic's Digital Media Masters program, Chris is a Wearer of many hats: Web design, electronics, game programming, 3d modeling, robotics; He's tinkered in a broad range of fields. Right now he's the go-to man for any tech in the Game lab, from AV to the clusters of AI servers.


Ramsey Nasser

Developer in Residence

Ramsey Nasser is a computer scientist, game designer, and educator based in Brooklyn. He researches programming languages by building tools to make computation more expressive and implementing projects that question the basic assumptions we make about code itself. His games playfully push people out of their comfort zones, and are often written in experimental programming languages of his design. A former Eyebeam fellow and a member of Kitchen Table Coders, when he is not reasoning about abstract unintuitive machines, he builds and maintains vintage motorcycles.


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