## About Us

This institute is premised on our belief that advances in data science principles are needed to impact the emerging paradigm of intelligent machines and their convergence with human society. This foundational understanding is needed to further improve the performance and better explain the operation of such machines so they can accomplish diverse, real-world tasks and interact effectively with people. To realize these advances, a new integration of mathematical, inferential, and algorithmic expertise is required. Thus, DATA-INSPIRE brings together mathematicians, statisticians, computer scientists to catalyze a new foundational data-science community focused on the development of intelligent, interactive machines.

## Research Directions

#### Human and Machine Inference

Integration of Models and Data for Inference about Humans and Machines To bridge the verification and explainability gap of data-driven approaches: We will investigate statistical, mathematical and computational tools that …

#### Data-informed Dynamical Systems

Dealing with Dynamics through a Data-informed Dynamical Systems Theory Address the presence of significant non-linearities, oscillations, and other complex dynamics and feedback loops: We will employ dynamical systems, real algebraic …

#### Combinatorics of Intelligent, Interactive Systems

The Role of Data and Combinatorics in Scaling Intelligent, Interactive Systems To deal with the strict timelines and scale to many machines that coordinate (potentially with people) to solve tasks …

## Our Team

##### Pranjal Awasthi

Computer Science##### Kostas Bekris

Computer Science##### Fioralba Cakoni

Mathematics##### Rong Chen

Statistics##### Ying Hung

Statistics##### Jason M. Klusowski

Statistics##### Konstantin Mischaikow

Mathematics##### Fred S. Roberts

Mathematics##### Matthew Stone

Computer Science##### Jingjin Yu

Computer Science##### Cun-Hui Zhang

Statistics##### Wujun Zhang

Mathematics##### Kathy Haynie

STEM Education## Contact

Kostas Bekris – kostas.bekris@cs.rutgers.edu

Fred Roberts – froberts@dimacs.rutgers.edu

Lazaros Gallos – lgallos@dimacs.rutgers.edu