Dr Alexander P Browning

BMath, MPhil, PhD

I’m Alex, a postdoctoral researcher at QUT in Brisbane, Australia. My research interests include applied mathematics problems that use individual-based models, inference and identifiability techniques, optimal control, and the integration of biological systems in engineered materials.

Research Experience

I completed a Doctor of Philosophy in Applied Mathematics in August 2021 (awarded February 2022) for my thesis entitled “Model complexity in biology and bioengineering”. Throughout and following my studies I have pursued collaborations with biologists to further the application of mathematical models to gain unique insights from experimental data. Following the completion of my PhD, I was awarded a SPRINT grant from the Australian Centre of Excellence in Mathematical and Statistical Frontiers and an Australian Mathematical Society Lift-off Fellowship to develop mathematical and statistical techniques to identify cell-to-cell variability in material uptake (paper 1 and paper 2). I am currently a postdoctoral research associate and lecturer at Queensland University of Technology.

Education and Training

I completed the Bachelor of Mathematics at the Queensland University of Technology in 2015, with a High Distinction. I went on to study a Masters of Philosophy under Professor Matthew Simpson and Professor Scott McCue, at the Queensland University of Technology, which I completed in mid-2017.

I was recently awarded the degree of Doctor of Philosophy at the Queensland University of Technology under Professor Matthew Simpson, Professor Kevin Burrage and Dr Francis Woodhouse.

I have extensive self taught computer skills with programming experience in MATLAB, MEX, Julia, C, C++, Latex, R, CSS, HTML, JavaScript and PHP. I have some experience in other programming languages such as SQL, SAS, Python, Maple and Mathematica. one recent work (published in eLife) involved experimental work, providing me with basic skills in two- and three-dimensional cell culture, confocal microscopy, and image processing. This work also involved the development of a novel experimental protocol.

Awards

  1. Australasian Society for Dermatology Research publication of the quarter winner (Q4 2021) for “Quantitative analysis of tumour spheroid structure”
  2. ANZIAM 2021 joint winner of the TM Cherry Prize for best talk by a student
  3. Society for Mathematical Biology Lee A Segal Best Student Paper [Download Paper]
  4. ANZIAM 2020 honourable mention for the TM Cherry prize [Download Presentation]
  5. QANZIAM 2019 best student talk
  6. MBSIG best student paper (2019) [Read Paper]
  7. ANZIAM 2019 honourable mention for the TM Cherry prize [Download Presentation]
  8. Australian RTP scholarship (2018 – present)
  9. Deans list for academic excellence (2013 – 2015)

Conferences and Talks

I regularly present my work at conferences, and have given numerous talks and school seminars at universities in Australia and the UK. Recently, I was invited to give a plenary presentation at the annual Society for Mathematical Biology conference.

Teaching Experience

Lecturing Experience
During my PhD, I lectured two units, 6 weeks each of introductory statistics for mathematics students, and introductory statistics for health sciences students. In my current role (Feb – Aug 2022) I lecture and coordinate an introductory probability and stochastic modelling unit at QUT.

Tutoring Experience
I was a sessional academic at QUT from 2016 to 2021. During this time I have tutored a range of first to final year mathematics and statistics subjects, ranging from mathematics for engineering students, statistics for health science and mathematics students, to advanced partial differential equation and statistical modelling units. In several units I acted as senior tutor, which involved the development of workshop material and assessment.

Private Tutoring Experience
I created, and ran, the private tutoring business ‘AB Tutors’ from 2013 – 2016. During this time I tutored over ten high school students in Mathematics, Advanced Mathematics and Physics.