I'm a research scientist specializing in quantum algorithms, inverse problems, and uncertainty
quantification. My focus lies in advancing biomedical research in musculoskeletal modeling and
image processing using Bayesian methods. Currently pursuing my PhD in Applied Mathematics at
Case Western Reserve University , I am graduating
in May 2024.
My doctoral research centers on Inverse Problems and Uncertainty Quantification applied in
Muscle Recruitment. Titled "Bayesian Analysis of Muscle Recruitment Patterns in Locomotion,"
under the guidance of
Dr Erkki Somersalo
and Daniela Calvetti,
I'm delving deep into applying Bayesian techniques to explain muscle recruitment patterns.
Before my doctoral journey, I earned an
MPhil in Scientific Computing and Industrial Modeling
from National Institute for Mathematical Sciences at
Kwame Nkrumah University of Science and Technology. My master's thesis focused on Image
Deblurring and Denoising under the mentorship of Dr. Peter Amoako-Yirenkyi, where I honed my
skills in applying mathematical methods to practical problems.
Beyond academia, I've had enriching summer internships, exploring quantum image processing at
Lawrence Berkeley National Laboratory
and quantum algorithms at
National Energy Research Scientific Computing Center. I've also delved into hybrid quantum
neural network research at IONQ.
With proficiency in MATLAB, Python, and C programming, along with a modest exposure to
High-Performance Computing, I bring a diverse technical skill set to my research.
Outside of research, I'm deeply committed to community-building. I founded the SIAM Student
Chapter at CWRU and held leadership roles in various student organizations.
In my downtime, I love immersing myself in nature, whether it's traveling to national parks, hiking,
or capturing the beauty of landscapes through photography. My interdisciplinary approach, coupled
with curiosity and dedication, shapes my journey in applied mathematics and quantum research.
My current research interest
- Quantum Algorithms
- Inverse Problems
- Uncertainty Quantification
- Bayesian Scientific Computing
- Biomechanics and Muscle Recruitment Modeling
- Classical and Quantum Image Processing
- Computer Vision
- Data Science