Joan Chick

Joan Chick

Research Assistant

Covenant University, Nigeria

Email: joan.chickpgs@stu.cu.edu.ng

 

 

 

 

VALIDATE Role:

Network Affiliate

 

Research Keywords:

Malaria, TB, Vaccine, Immunoinformatics

 

Biography:

Joan Amban Chick is a doctoral candidate in Bioinformatics at Covenant University in Nigeria with a B.Sc. in Biochemistry and an M.Sc. in Medical and Pharmaceutical Biotechnology. She is also a research assistant at the Covenant Applied Informatics and Communication Africa Centre of Excellence (CApIC-ACE), a World Bank centre that focuses on developing new treatment and control methods for malaria, prostate cancer, and breast cancer, as well as building a federated genomics cloud infrastructure for informatics-based research in Africa. Joan's doctoral research lies at the intersection of machine learning and immuno-informatics. She is presently developing a multitask computational model for vaccine candidate prediction against infectious pathogens. Her technical skills include designing and assessing multiepitope vaccines, performing immunological tests, and proficiency in R, Python, and Linux. She has conducted research on the computational design, expression, and characterisation of a multi-epitope, multi-stage Plasmodium falciparum vaccine candidate and her dedication to a One Health approach to disease prevention is evidenced by her contribution to a study on the computational design of a lipoprotein-based multiepitope vaccine against human and livestock tuberculosis. Through her research, she hopes to make a substantial contribution to the advancement of vaccine research and the training of the next generation of African vaccine researchers. 

 

Related Websites:

LinkedIn

 

Key Publications:

  • Chick, J. A., Abongdia, N. N., Shey, R. A., Apinjoh, T. O., “Computational design, expression, and characterization of a Plasmodium falciparum multi-epitope, multi-stage vaccine candidate (PfCTMAG),” Heliyon, 2025, 11(2), e42014.
  • Shey, R.A., Nchanji, G.T., Stong, T.Y.A., Yaah, N.E., Shintouo, C.M., Yengo, B.N., Nebangwa, D.N., Efeti, M.T., Chick, J.A., Ayuk, A.B., Gwei, K.Y., Lemoge, A.A., Vanhamme, L., Ghogomu, S.M., Souopgui, J., “One Health Approach to the Computational Design of a Lipoprotein-Based Multi-Epitope Vaccine Against Human and Livestock Tuberculosis,” International Journal of Molecular Sciences, 2025, 26(4), 1587.
  • Akwelle, R. N., Shey, R. A., Efeti, M. T., Acha, L. N., Nchanji, G. T., Stong, T. Y. A., Chick, J. A., Yaah, N. E., Shintouo, C. M., Yengo, B. N., Ayuk, A. B., Engarimbi, J. E., Gwei, K. Y., Tebo, B. T., Nebangwa, D. N., Beltine, M. T., Vanhamme, L., Souopgui, J., Titanji, V. P. K., & Ghogomu, S. M. (2025). In silico design and computational characterization of novel chimeric multiepitope antigens for Mpox serosurveillance (p. 2025.07.09.663824). bioRxiv.