Simulating for Computational Biology – Arun Konagurthu

Arun Konagurthu is a Senior Lecturer at the Clayton School of Computer Science and Information Technology, Faculty of Information Technology, Monash University. Between 2011-2013, Arun was additionally a Larkins Fellow at this faculty.

Arun leads a small research group that researches mainly in computational biology and bioinformatics. His other research interests include data structures and algorithms, computational modeling and simulation, combinatorial optimization, and, since joining Monash in 2011, statistical learning using Minimum Message Length inference.

Points of discussion:
– What’s your overall research problem? If you solved it, how would things change?
– What is ‘stringology’ and how is it relevant to your research problem?
– Describe your use of simulation methods in bioinformatics. What problems do they overcome and how?
– Why do you prefer Bayesian statistics? What difference does it make?
– How do simulation and scoring work together? What kind of scores do you use?
– What’s been the impact of simulation on bioinformatics generally?
– What’s the future of sampling in data science? What’s coming around the corner?

#bayesian #artificialintelligence #datascience

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