About me

“We are a sum total of what we have learned from all who have taught us, both great and small.”~ Dr. Myles munroe

Hi! I’m Andrews Boahen, a Doctoral Candidate in the Department of Statistics & Probability at Michigan State University, where I also earned my M.S. in Statistics en route to the Ph.D. Under the mentorship of Dr. Chih-Li Sung, I develop methods for computer model calibration and active learning.

Before coming to MSU, I earned a first-class B.Sc. in Actuarial Science from the Department of Statistics & Actuarial Science at the University of Ghana and an M.S. in Mathematical Sciences with distinction from the African Institute for Mathematical Sciences (AIMS-Ghana), where I worked on large-deviation and extreme-value theory under the supervision of Prof. Kwabena Doku-Amponsah.

I am on the 2026–2027 academic job market, primarily seeking postdoctoral research opportunities in statistical learning, uncertainty quantification, scientific machine learning, and computational statistics. My interests center on developing novel statistical methods for complex scientific systems, particularly through surrogate modeling, computer model calibration, Bayesian inference, active learning, and the integration of multiple data sources.

News