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Jerry Selorm Akakpo

  • Educator
  • Researcher
  • Actuary in progress

Known to many as Newton

I am a teacher, quantitative researcher, and PhD candidate in Mathematics and Statistics at Concordia University in Montreal. My work brings together a lifelong commitment to teaching, research grounded in real-world data, and a continuing pursuit of actuarial science.

Portrait of Jerry Selorm Akakpo

Studied and worked at

  • Concordia University
  • University of Ghana
  • University of Energy and Natural Resources
  • Social Security and National Insurance Trust
  • Ghana Revenue Authority
  • Selby Consult

About

At 17, I recognized teaching as a gift.

What began as a natural way of helping others understand has grown into a career spanning more than a decade. Since 2015, I have taught students at every level of education, from primary school to university, in Ghana and Canada. Teaching continues to shape how I communicate, how I conduct research, and how I think about opportunity.

My academic path began with business studies in high school, where Economics, Financial Accounting, and Business Management introduced me to the questions behind money, organizations, and risk. That curiosity led me to Actuarial Science for my first and second degrees. I am now pursuing a PhD in Mathematics and Statistics at Concordia University, under the supervision of Professor Melina Mailhot.

Across my studies and work, I have moved between classrooms, research teams, public institutions, and industry. These experiences have taught me to value both rigorous methods and practical outcomes: an analysis should be technically sound, clearly explained, and useful to the people making decisions.

My long-term vision brings two ambitions together: to become a professor who helps students discover what they are capable of, and to become an actuary who uses mathematical thinking to understand and manage risk. I am building toward both through teaching, research, professional development, and service.

What guides me

  1. Make complex ideas understandable.
  2. Ask better questions with data.
  3. Create opportunities that help people grow.

In detail

  • Teaching

    From first lessons to university classrooms.

  • Research

    Finding useful answers in complex data.

  • CV

    Learning across classrooms, institutions, and industry.