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Prof. Andrew Pollard welcomes Dr Anet to OVG

Supervisors

More info

Anet J. N. Anelone

PhD


Statistical Modeller

Research groups

I am Dr. Anet J. N. Anelone, a new member of the Statistics Group led by Professor Merryn Voysey. Since I grew up in low-resource countries in West Africa, the high burden of disease on children has motivated my commitment to developing statistical, mathematical, computational, and engineering tools to address health challenges. In 2017, I completed my PhD in control engineering and mathematical immunology at the University of Kent, United Kingdom. I have conducted postdoctoral research on statistical and mathematical modelling of within-host HIV dynamics in infants at Utrecht University, the Netherlands. I have also worked on infection dose–response studies in the context of measles as a Senior Research Fellow at the National University of Singapore. I am currently acquiring skills in the application of artificial intelligence in healthcare. I enjoy conducting multidisciplinary research with individuals from diverse academic and cultural backgrounds. I am enthusiastic about collaborating with you and contributing to OVG, leveraging my international and interdisciplinary work experience. 

Research topics and interests

Biostatistics - Mathematical Modelling - T cell responses - Correlates of immune protection - Vaccination - Infection dose responses - Oncolytic virus therapy - Measles - HIV - Influenza - Covid-19 - Group B Streptococcus (GBS) - Typhoid - Control theory and applications - Model predictive control - Within-host and between-host virus dynamics - AI in healthcare - Machine learning for diagnostics - Capacity building in low- and middle-resource countries

Awards

2025: United Kingdom Global Talent
2021: Australia Global Talent Independent program 
2021: Chair of the Systems Biology session of the American Control Conference (ACC2021)
2019: 5000 AUD UCL Mobility grant from the University of Sydney for research on measles
2019: 500 USD to attend the annual meeting of the Society for Mathematical Biology
2012 – 2015: £13,000 per annum Doctoral Scholarship from the University of Kent 50th Anniversary Scholarships
2011 – 2012: £10,000 per annum M.Sc. Scholarship from the Republic of Ivory Coast

Professional experience

2022 – 2024: Senior Research Fellow in Mathematical Biology
Saw Swee Hock School of Public Health, National University of Singapore, Singapore
This role focused on conducting research with limited supervision on statistical and mathematical analyses of within-host measles dynamics. This role also involved preparing and delivering lectures to introduce mathematical modelling of drug design and evaluation to medical students.

2019 – 2021: Postdoctoral researcher in Mathematical Biology, level A
School of Mathematics and Statistics, The University of Sydney, Australia
This role involved conducting collaborative postdoctoral research at the intersection of biostatistics, mathematical biology, and control engineering to study the within-host dynamics of HIV, measles, and oncolytic virus therapy. Additionally, this role involved face-to-face and online lecturing and tutoring of linear algebra to first year undergraduate students. Teaching one semester per year, with 2 hours of lectures and 3 hours of tutorials per week.

2017 – 2019: Postdoctoral Researcher in Paediatric HIV Dynamics
Theoretical biology group, Utrecht University, The Kingdom of The Netherlands 
This role was part of the EPIICAL (Early Treated Perinatally HIV-Infected Individuals: Improving Children's Actual Life with Novel Immunotherapeutic Strategies) project. The role aimed to develop and apply statistical and mathematical modeling to data from cohorts of early-treated infants and children to identify predictive factors (virological, immunological, and transcriptomic profiles) associated with early control of HIV infection after initiation of antiretroviral therapy. This role also included co-supervising a PhD student working on this project.

2012 – 2016: Graduate Teacher Assistant,
University of Kent, United Kingdom.

Qualifications

08/2025 – 09/2025:     Online micro-credential: Create Healthcare Solutions from Existing AI Tools, University of Melbourne

03/2025 – 05/2025:     Online micro-credential: Foundations of Artificial Intelligence (AI) in healthcare, University of Melbourne

10/2012 – 11/2017:     PhD

School of Engineering and Digital Arts, University of Kent, United Kingdom

Thesis: “A Study of the Synergies Between Control Mechanisms in the Immune System and the Variable Structure Control Paradigm”

09/2013 – 09/2014:                      Assistant Teacher Accreditation Programme University of Kent, United Kingdom

09/2011 – 09/2012:             Master of Science with Distinction, Advanced Electronics Systems Engineering, School of Engineering and Digital Arts, University of Kent, United Kingdom. 

08/2008 – 06/2011:               Bachelor of Science in Statistics, Mathematics, Electronics, and Computer Science, Bangalore University, India