People

Julian Togelius
Director / 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.

Christopher DiMauro
Sys-Admin / Project Advisor

An alum of NYU Tandon Polytechnic's Digital Media Masters program, Chris is a Wearer of many hats: Web design, electronics, VR, game design and programming, 3d modeling, prop fabrication and robotics. He's also the current advisor for the NYU's RoboMaster VIP Project, Team Ultraviolet

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Maxwell Sirotin
Grad Student

Maxwell Sirotin is an M.S. student in Computer Science studying at NYU. He graduated with a B.S. in Computer Science from Adelphi University specializing in Game Design. Currently, his research focus is on how evolutionary algorithms perform on games that "deceive" other reinforcement learning algorithms. He finds speaking in the 3rd person increasingly unusual the longer he thinks about it.

Graham Todd
PhD Student

I'm a second-year PhD student with an interest in intersections between games, cognitive science, and natural language processing. I graduated from Stanford University with a bachelor's degree in Symbolic Systems. My current projects at the lab are using a formal grammar to model how people come up with games and exploring how Hebbian learning (and other biologically-inspired algorithms) can be used for multi-task learning and emergent communication. Outside of the lab, I'm an avid fencer and frequent game master for my table-top role-playing game group!

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Sam Earle
PhD student

PhD student at NYU's Game Innovation Lab, using AI to play open-ended sandbox simulation games.

Zehua Jiang
PhD student

Zehua Jiang is a first year PhD student in Computer Science at NYU. He completed his master studies in Electrical and Computer Engineering at NYU and holds a Bachelor degree in Physics from Sun Yat-sen University. He is a researcher, programmer, photographer, designer, video editor, and a cook. While at the Game Innovation Lab, he has worked on Procedural Content Generation projects in Minecraft.

Catalina Jaramilo
PhD student

I was born in Spain. After obtaining a degree as Mining engineering, I moved to Paris to study a second degree and masters degree in applied Mathematics in UPMC Paris VI. After that, I decided to pursue my career in the field of Artificial Intelligence. These last few years, I was working in several projects in the Technology Research Center of Repsol (Madrid) and Repsol-IBM (New York), applying deep learning and reinforcement learning for logistic and real time decision making. A Games are a great environment to test artificial intelligence research. I am interested in developing new agents to play Start Craft II.

M Charity
PhD student

M is a PhD student in Computer Science at NYU studying Game Design and Artificial Intelligence. They graduated with their bachelor's degree from Virginia Commonwealth University. In addition to their work in the Game Innovation lab, M has a background in natural language processing and virtual reality game design.
They've been making games since the 7th grade, most of which can be found here: https://mastermilkx.itch.io/

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Matthew Siper
PhD candidate
Michael C. Green
Ph.D. Alumni / Visiting Scholar

Michael completed his Ph.D. at New York University's Tandon School of Engineering in June of 2022. In his thesis, he primarily focuses on the intersection between AI and game mechanics, and how AI can automatically build video game tutorials. His research spans many AI methods including tree search and evolutionary algorithms, deep learning, and reinforcement learning. Michael is currently a senior data scientist at Hitachi Solutions America, where he heads a research/engineering team to build AI-powered products. Outside of work, Michael is an avid fan of video games. His favorites include the Civilization series, The Witcher, and Path of Exile. He also enjoys all things involving water such as swimming and especially sailing.

https://mikecgreen.com/

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Ruben Torrado

I was born in Spain. After obtaining a degree as Mining engineering, I moved to Paris to study a second degree and masters degree in applied Mathematics in UPMC Paris VI. After that, I decided to pursue my career in the field of Artificial Intelligence. These last few years, I was working in several projects in the Technology Research Center of Repsol (Madrid) and Repsol-IBM (New York), applying deep learning and reinforcement learning for logistic and real time decision making. A Games are a great environment to test artificial intelligence research. I am interested in developing new agents to play Start Craft II.

Debosmita Bhaumik
Research Assistant

Debosmita is a research assistant in Prof. Julian Togelius research
group, NYU. She did master’s in computer application from Vidyasagar
University, India and previously worked as research assistant in the
Chair for Management Science and Energy Economics, University
Duisburg-Essen, Germany. Presently she is working in Artificial
Intelligence for games.

Aaron Dharna
Visiting Scholar

He is currently an MS student in CS at Fordham University, applying to PhDs, and having his MS thesis co-advised by Prof. Julian Togelius and Prof. Damian Lyons at NYU and Fordham respectively. His interests currently are in generative models, reinforcement learning, neural networks, evolution, and the intersection of games and machine learning.

Chang Ye
Alumni MS Computer Science

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Lisa Soros
Former Post Doc

Lisa's research explores the intersection of artificial life and games. She received a Ph.D. from the University of Central Florida, focusing on neuro-evolution, generative systems, and open-ended evolutionary dynamics.

Maria Edwards