Kaiyu (Kevin) Wu, Master’s candidate
David R. Cheriton School of Computer Science
John Wright, Postdoctoral fellow
Center for Theoretical Physics, MIT
Yongjoo Park, Research fellow
Computer Science and Engineering, University of Michigan
Milad (Enayatallah) Ghaznavi, PhD candidate
David R. Cheriton School of Computer Science
Elizabeth Murnane, Postdoctoral Scholar
Computer Science Department, Stanford University
Amit Levi, PhD candidate
David R. Cheriton School of Computer Science
Rafael Oliveira, Research fellow
UC Berkeley Simons Institute for the Theory of Computing
Haotian Zhang, PhD candidate
David R. Cheriton School of Computer Science
Mark Jeffrey, PhD candidate
Massachusetts Institute of Technology
Armin Jamshidpey, Postdoctoral fellow
David R. Cheriton School of Computer Science
Alice Gao
David R. Cheriton School of Computer Science
Gramoz Goranci, University of Vienna
Florian Kerschbaum
David R. Cheriton School of Computer Science
Aaron Voelker, PhD candidate
David R. Cheriton School of Computer Science
Aakar Gupta, Postdoctoral research scientist
Facebook Reality Labs
Computing is increasingly embedded in objects on us and around us. And we are increasingly embedded in digital environments. These computing environments limit old but enable new input-output affordances. Utilizing these affordances requires us to move beyond traditional ways of expressing human intention.
Aishwarya Agrawal, PhD candidate
School of Interactive Computing, Georgia Tech
Alexey Karyakin, PhD candidate
David R. Cheriton School of Computer Science
Khalid Al-Kofahi, Head, Corporate R&D, Center for AI and Cognitive Computing
Thomson Reuters
Yuxin Chen, Postdoctoral scholar, Department of Computing and Mathematical Sciences
California Institute of Technology
How can we intelligently acquire information for decision making, when facing a large volume of data?
Nabiha Asghar, PhD candidate
David R. Cheriton School of Computer Science
Adam Schunk, Master’s candidate
David R. Cheriton School of Computer Science
Rich Dlin
Centre for Education in Mathematics and Computing
In the 2018 fall term, Rich taught MATH 137 and is now teaching MATH 138. He has a lot of fun (and spends perhaps too many hours) developing GeoGebra examples to investigate and demonstrate concepts in calculus, which the students have really appreciated.
Andrew Delong, Head of Computational Research
Deep Genomics
Genomics focuses on the sequences in our genomes and how they encode for function in our cells. Predicting how sequences will be interpreted by the cell is important for identifying disease-causing mutations and for designing therapies.
Chang Ge, PhD candidate
David R. Cheriton School of Computer Science
Saba Alimadadi, Postdoctoral Researcher
Northeastern University
Program comprehension is crucial in software engineering, a necessary step for performing many tasks. However, the implicit and intricate relations between program entities hinder comprehension of program behaviour and can easily lead to bugs. It is particularly challenging to understand and debug modern programming languages such as JavaScript, due to their dynamic, asynchronous, and event-driven nature.