Mark Tanaka
Tanaka Lab  
  UNSW Sydney

Tanaka Lab
UNSW Sydney

Mathematical &
Computational Biology

ABOUT THE TANAKA LAB

Mark Tanaka's group conducts research in mathematical and computational biology at the University of New South Wales.

Research areas

  • Modelling microbial evolution
  • Model-based inference in
    molecular epidemiology
  • Culture, disease, health and evolution

Lab News

What's happening in the group?

The Team

People in the research group

About Mark Tanaka

Professor
School of Biotechnology and
Biomolecular Sciences
University of New South Wales
Sydney, Australia

LAB NEWS

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lab get-together

THE TEAM

People in the research group

Tanaka

Mark Tanaka

Group Leader
 

Pantea

Pantea Pooladvand

Postdoctoral Research Associate
 

Jasmin

Jasmin Oren

Honours student (CSE)
 

Thomas

Thomas Smallbone

Honours student (BABS)
 

Past members

Postdocs

Sara Loo, LoÏc Thibaut, Sangeeta Bhatia, Rebecca Chisholm, Lloyd Sanders, Steven Hamblin, Frank Valckenborgh, Fabio Luciani

PhD

Xiyan Xiong, Winton Wu (primary supervisor: Jai Tree), Eden Zhang (primary supervisor: Belinda Ferrari), Yue Wu, Carmen Chan, Kayla Peck (visiting student from UNC, USA through International Practicum program), Zach Aandahl (primary supervisor: Scott Sisson), Josephine Reyes

Masters

Renault Phong, Lamia Zaghloul (visiting student from Morocco and France through International Practicum program)

Honours

Chelsea Liang, Eric Urng, Yiyi Lin, Anna Ong, Leo Fang, Justin Nam, Natalia Vaudagnotto, Alex Wong, Sara Ballouz, Carmen Chan, Alison McLean, Chaka Tang, Hui Yee Chin, Shamin Kinathil, Howard Hsu, Renault Phong, Todd Price

Undergraduate research students (internships, summer scholarships, project-based courses)

Thomas Smallbone, Maxwell Ding, Aidan McMahon-Smith, Anna Ong, Wunna Kyaw, Ian Powell, Gordon Qian, Fiona Shen, Manan Shah, James Krycer, Shamin Kinathil, AJ Joshi, Jenna Iwasenko, Hui Yee Chin, Emily Bek, Lisa Beeren

Others

Clare Saddler (visiting scientist), Yobin Jeong (Independent Learning Project program), Cuong Tran (research assistant)

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RESEARCH

We use mathematical, computational and statistical methods to understand biological systems, with a particular focus on the evolution of microbes.

Modelling microbial evolution

Microbes reproduce and evolve in fascinating ways. For example, their mutation rates can be variable and conspicuously high. They readily acquire resistance to antimicrobial drugs and evolve to escape host immunity. Viruses replicate remarkably fast and have highly constrained natural histories. Bacteria have genomes that can undergo rearrangement and horizontal transfer through mobile genes. Like larger organisms, microbes alter their environments and thereby alter the course of their own evolution in a process called niche construction . We study such features of microbes by developing and analysing mathematical models.

Evolution

Model-based inference in molecular epidemiology

We develop new approaches to analyse molecular data from epidemiological studies. Many of these methods are based on computational or mathematical models of the underlying process of transmission and mutation of pathogens. Where models are complex we use techniques such as approximate Bayesian computation to draw inferences from data. We have also developed software to visualise molecular epidemiological data. Our latest software is called MERCAT (which replaces our older resource called spolTools).

Evolution

Culture, disease, health and evolution

A further research area of interest to us is the interface between human culture and the dynamics of health and disease. Cultural practices influence and in turn are influenced by health and disease. For instance, we have studied how ineffective medical practices can spread in a population despite being maladaptive. In recent years we have become interested in understanding how shifts in culture can lead to the emergence of new diseases. We have advanced a hypothesis, for instance, that the emergence of tuberculosis was promoted by changes due to the ability to control fire in early human populations.

Evolution

Research publications

Research in the media

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TEACHING

Undergraduate teaching in genetics and related subjects

At UNSW Mark contributes to undergraduate courses in areas such as genetics, bioinformatics and microbiology. He is the course convenor of Microbial Genetics (BABS3021/MICR3621), which is co-convened by Gee Chong Ling. Mark also teaches in Genes, Genomes and Evolution (BABS3291) and other courses at UNSW such as Genetics (BABS2204/2264), Microbiology (MICR2011) and Applied Biomolecular Sciences (BABS1202). Mark has also been involved in the bioinformatics programme which is organised by the Faculty of Engineering.

For more information about courses in the School of Biotechnology and Biomolecular Sciences (BABS) click here .

UNSW

JOIN

Looking to do research in mathematical and computational biology?

  • Honours
  • If you are interested in finishing your degree with Honours, our school offers a range of fascinating projects. In the Tanaka Lab you would work on a project that involves data analysis or computation or mathematical modelling. We don't do any wet lab work but we do collaborate with lab-based groups.
  • PhD
  • If you are a graduate with an excellent academic record and a curiosity about processes in the natural world, and you are keen to develop skills in mathematical and computational biology, you may be interested in joining the group as a postgraduate research student. More information about scholarships can be found on the Graduate Research School (GRS) website.
  • Postdoc
  • If you have a PhD in biology or in a quantitative science such as mathematics, statistics, physics or computer science you may be interested in joining the group as a postdoctoral research associate or fellow. Contact Mark to discuss possibilities and to let us know your research interests.

CONTACT

Get in touch with Mark

School of Biotechnology and Biomolecular Sciences, UNSW Sydney, NSW 2052, Australia

Phone: +61 2 9065 9570

Email: mte