CV

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PhD candidate specializing in climate-driven mosquito population modeling, with expertise in deterministic and stochastic modeling, sensitivity analysis, and scientific communication.

Education

  • PhD Candidate in Mathematical Biology, Memorial University of Newfoundland, St. John’s, NL, Canada (2020–Present)
    Supervisor: Dr. Amy Hurford
  • MPhil in Applied Mathematics, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana (2015–2016)
  • MSc in Mathematical Sciences, African Institute for Mathematical Sciences (AIMS), Ghana (2014–2015)
  • BSc in Mathematics, KNUST, Kumasi, Ghana (2009–2013)

Professional Experience

  • Graduate Researcher, Memorial University of Newfoundland, St. John’s, NL, Canada (2020–Present)
    • Develop stage-structured mosquito population models integrating climate data (temperature, rainfall, photoperiod).
    • Conduct sensitivity and scenario analyses to assess climate change impacts on vector abundance.
    • Presented findings at 3 international conferences and contributed to peer-reviewed publications.
  • Graduate Teaching Assistant, Memorial University of Newfoundland, St. John’s, NL, Canada (2020–Present)
    • Teach and assist in undergraduate mathematical biology courses.
    • Mentor students in R programming, data analysis, and research project development.
  • Lecturer, Valley View University & Anglican University College of Technology – Ghana (2016–2019)
    • Taught undergraduate mathematics and statistics courses.
    • Supervised 10+ undergraduate research projects and provided academic advising.

Research Interests

  • Infectious disease modeling
  • Mosquito population dynamics
  • Climate-driven vector control strategies
  • Deterministic and stochastic modeling

Skills

  • Programming: R, Python, LaTeX
  • Analysis Methods: Sensitivity analysis (PRCC, LHS), uncertainty analysis
  • Communication: Scientific writing & presentations

Training