I am a third-year PhD student in the Statistics program at the University of Michigan, Ann Arbor. I come from Mpraeso, a beautiful small town in the Okwahu plains in the eastern region of Ghana. I obtained my MS degree in Statistics & Data Science at the University of Nevada, Reno. Before that, I received my BS in Actuarial Science from Kwame Nkrumah University of Science and Technology.

I am working under the supervision of Prof. Kerby Shedden on Generalized Expectile Estimating Equations (GEEE) applied to Longitudinal Genetics Data.

When I have some time to spare, I enjoy listening to music, spending time with my friends and family and watching soccer (I’m a staunch fan of Manchester United).

Interests

- Statistical Modeling
- Longitudinal Data Analysis
- Quantile and Expectile Regression
- Statistical Machine Learning
- Computational Statistics

Education

PhD in Statistics, 2026 (Expected)

University of Michigan

MS in Statistics & Data Science, 2021

University of Nevada, Reno

BS in Actuarial Science, 2017

Kwame Nkrumah University of Science & Tech.

- STATS 401 - Applied Statistical Methods II (Undergrad level Regression and ANOVA) || Winter 2024 & Fall 2023
- STATS 513 - Regression and Data Analysis (Graduate Level ~ 51 students) || Winter 2023
- STATS 501 - Applied Statistics II (GLMs, Mixed Models & Semi-Parametric Models) || Winter 2023
- STATS 306 - Introduction to Statistical Computing (∼40 students) || Winter & Fall 2022
- STATS 406 - Computational Methods in Statistics and Data Science (∼75 students) || Fall 2021

- MATH 127 - Pre-Calculus II (∼70 students) || Spring 2021
- MATH 181 - Calculus I (∼90 students) || Fall 2020
- MATH 126 - Pre-Calculus I (∼140 students) || Fall 2019

- STAT 224 - Introductory Probability II (∼60 students) || Spring 2018
- STAT 222 - Data Analysis I (∼95 students) || Spring 2018
- STAT 221 - Introductory Probability I (∼60 students) || Fall 2017
- ACTU 409 - Introduction to Actuarial Mathematics (∼40 students) || Fall 2017

Instructor

Summer Actuarial Intern

Casualty Actuarial Society P&C training in:

- Ratemaking
- Reserving
- Predictive Modeling
- Data Visualization

Predictive Modeling Intern

- Performed Territorial Analysis on claim frequencies using Spatially Constrained Clustering Algorithms and Generalized Additive Models to re-cluster rating territories for refining pricing models.
- Built Loss Development Models to estimate future losses using Elastic-Net Poisson GLM.
- Built Pure Premium models using GLMs and Zero-Inflated Models to predict future loss costs.

Math Instructor

- Taught Cambridge O and A Level Mathematics to prepare students for the IGCSE exams.
- Rated distinction in teaching within first 3 months into the job.

1st Place, KNUST Actuarial Club Annual Interclass Quiz Competition

Overall Best Student

Best student award for the West African Senior School Certificate Examination (Out of over 1,000 candidates at Mpraeso High School in 2013)

Member, Computing Committee

Member, Recruitment & Admissions Committee

Member, Curriculum Committee

Vice President

- Saturday 10:00 to 12:00
- Book an appointment
- LinkedIn Profile