Faculty members in the department are actively engaged in research in the areas listed below. There are many opportunities for both undergraduate and graduate students to participate in these ...

That instinct—the belief that difficult scientific problems could be approached differently, or better, through ...

Transformational technologies like artificial intelligence and machine learning profoundly impact the legal landscape, both in terms of how computation is changing legal systems and law practice and ...

My general research interests are in the logic, semantics, and implementation of programming languages. In particular, I am interested in using logic to help design and verify that software systems ...

Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.

Faculty in the area of bioinformatics and computational biology apply computational methodologies such as databases, machine learning, discrete, probabilistic, and numerical algorithms, and methods of ...