Seminar

Please note: This seminar will take place online.

Alla Mikheenko, Postdoctoral Research Fellow
Department of Neuromuscular Diseases, University College London

Please note: This seminar will take place in DC 1304.

Jim Shaw, PhD candidate
Department of Mathematics, University of Toronto

DNA is life’s instruction manual, but mathematically, DNA is simply a string over an alphabet of four letters. DNA can now easily be read into a computer, and the associated string-processing algorithms are being leveraged by biologists for exciting discoveries. However, this has created a flood of data in the petabytes, requiring modern and faster tools.

Please note: This PhD seminar will take place online.

Shaokai Wang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Please note: This PhD seminar will take place online.

Siddhartha Sahu, PhD candidate
David. R. Cheriton School of Computer Science

Supervisor: Professor Semih Salihoğlu

Please note: This PhD seminar will take place online.

Siddhartha Sahu, PhD candidate
David. R. Cheriton School of Computer Science

Supervisor: Professor Semih Salihoğlu

Please note: This seminar will take place in DC 1304.

Dinghuai Zhang, PhD candidate
Mila

Advancements in scientific discovery have always been at the forefront of human endeavor, particularly in complex domains such as molecule synthesis. The intrinsic challenges in these fields stem from two main factors: the vast and combinatorially complex high-dimensional search spaces, and the costly evaluation of scientific hypotheses. Therefore, leveraging machine learning offers a promising avenue to expedite the scientific discovery process.

Please note: This seminar will take place in DC 1304.

Arun Jambulapati, Postdoctoral Researcher
Computer Science and Engineering, University of Michigan

Please note: This PhD seminar will take place online.

Nandan Thakur, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Please note: This PhD seminar will take place in DC 2310.

Ajay Singh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Trevor Brown

In this presentation, we introduce Neutralization Based Reclamation (NBR), a novel technique that helps concurrent data structures with non-synchronized traversals to safely free objects. Additionally, we explore optimization possibilities, examining the efficiency of the technique.

Please note: This PhD seminar will take place in DC 3317.

Edward Lee, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ondřej Lhoták

Reasoning about the use of external resources is an important aspect of many practical applications. Effect systems enable tracking such information in types, but at the cost of complicating signatures of common functions. Capabilities coupled with escape analysis offer safety and natural signatures, but are often overly coarse grained and restrictive.