Current students

Tuesday, May 17, 2022 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Bioinformatics • Probabilistic Models of k-mer Frequencies

Please note: This seminar will be presented in person in DC 1304 as well as streamed online.

Broňa Brejová, Department of Computer Science
Comenius University in Bratislava, Slovakia

Many successful tools in bioinformatics are based on working with k-mers, substrings of length k of the input sequences. In this talk, we will discuss two less-known areas where k-mers can be used.

Please note: This master’s thesis presentation will be given online.

Wanxin Li, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Lila Kari, Yaoliang Yu

In developing countries, people with substance-abuse issues sometimes face shame and can find it difficult to get help. Now, a research team is using machine learning and anonymized data to get a clearer picture of the underlying factors that influence tendencies to abuse drugs and alcohol.

The research provides a rare insight into a somewhat neglected subject because of social and cultural taboos. The research team hopes their work can eventually make it easier for people to get help.

Please note: This master’s thesis presentation will be given online.

Rory Soiffer, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shalev Ben-David

Quantum query complexity measures the minimum number of queries a quantum algorithm needs to make to some input string to compute a function of that input. Query complexity models are widely used throughout quantum computing, from setting limits on quantum algorithms to analyzing post-quantum cryptography.

Please note: This PhD seminar will be given online.

Alister Liao, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Peter van Beek