Mercy Amankwah, PhD.

Case Western Reserve University.
Department of Mathematics, Applied Mathematics and Statistics,
Cleveland,
OH 44106, USA.
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About me

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

Professional Training and Certification

  • Kaggle - Intro to programming.
  • Erdos Data Science Boot camp at Erdos Institute.