Overview

Dr. Murray Patterson is an Assistant Professor in the Department of Computer Science at Georgia State University, where he is part of the Bioinformatics Cluster. His research focuses on computational biology, bioinformatics, and the development of algorithms for analyzing biological data, including genome rearrangements, cancer phylogenies, and haplotyping.

Since joining Georgia State University in 2020, Dr. Patterson has been actively involved in teaching and research. His work spans a wide range of topics, including the evolution of metabolic networks, cancer phylogenies, and the development of efficient algorithms for high-throughput sequencing data.

Research Interests

• Genome Rearrangements: Developing algorithms to model and analyze evolutionary processes that lead to changes in genome structure.
• Cancer Phylogenies: Inferring the evolutionary history of tumors using single-cell sequencing data.
• Haplotyping: Reconstructing haplotypes from sequencing data to understand genetic variation.
• Metabolic Network Evolution: Studying the evolution of metabolic networks from the perspective of enzymes and network structure.

Teaching

Dr. Patterson has taught a variety of courses at both the undergraduate and graduate levels, including:

• Artificial Intelligence (Spring 2023)
• Programming Language Concepts (Fall 2022, Spring 2022, Spring 2021, Fall 2020)
• Database Management Systems (Fall 2021, Fall 2019)
• Introductory Programming in Java (Spring 2020, Fall 2019)
• Theory of Programming Languages (Spring 2020)

Selected Publications

Dr. Patterson has published extensively in the fields of computational biology and bioinformatics. Below are some of his key publications:

Journal Articles

1. Sarwan Ali, Tamkanat E. Ali, Taslim Murad, Haris Mansoor, and Murray Patterson. Molecular sequence classification using efficient kernel-based embedding. Information Sciences, 2024. doi:10.1016/j.ins.2024.121100.
2. Sarwan Ali, Prakash Chourasia, and Murray Patterson. From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. Medical & Biological Engineering & Computing, 2024. doi:10.1007/s11517-024-03074-3.
3. Zahra Tayebi, Sarwan Ali, Taslim Murad, Imdadullah Khan, and Murray Patterson. PseAAC2Vec protein encoding for TCR protein sequence classification. Computers in Biology and Medicine, 170:107956, 2024. doi:10.1016/j.compbiomed.2024.107956.

Conference Proceedings

1. Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, and Murray Patterson. Circular arc length-based kernel matrix for protein sequence classification. In 2023 IEEE International Conference on Big Data, Sorrento, Italy, 2023. [To appear].
2. Sarwan Ali, Prakash Chourasia, and Murray Patterson. Expanding chemical representation with k-mers and fragment-based fingerprints for molecular fingerprinting. In 10th International Conference on Information Management and Big Data, Mexico City, Mexico, 2023. [To appear].
3. Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdad Ullah Khan, and Murray Patterson. Efficient classification of SARS-CoV-2 spike sequences using federated learning. In 10th International Conference on Information Management and Big Data, Mexico City, Mexico, 2023. [To appear].

Education

• PhD in Computer Science, University of British Columbia, Vancouver, Canada (2006–2012)
• Master of Science in Computing Science, Simon Fraser University, Burnaby, Canada (2004–2006)
• Bachelor of Computer Science (Honours), Acadia University, Wolfville, Canada (1999–2003)

Professional Experience

• Assistant Professor, Georgia State University (2020–Present)
• Visiting Assistant Professor, Fairfield University (2019–2020)
• Postdoctoral Fellow, University of Milano-Bicocca (2016–2019)
• Postdoctoral Fellow, Laboratoire de Biométrie et Biologie Évolutive (LBBE), Université de Lyon (2014–2016)
• ERCIM Fellow, INRIA and CWI (2012–2014)

Contact

• Office: Room 1807, 25 Park Place, Atlanta, Georgia 30303 (USA)
• Phone: (+1) 475 330 0978
• Email: mpatterson[at]cs[dot]gsu[dot]edu
• Website: https://murraypatterson.github.io/