Open to opportunities

Collins AKOSA

@collinsakosa

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Machine learning and HPC research scientist focused on computational physics and materials.

Japan

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What I'm looking for

I seek research roles that combine ML and HPC for materials or physics problems, with opportunities to lead projects, mentor students, and deploy scalable simulations in collaborative academic or industry teams.

I am a computational scientist with over 10 years' experience applying machine learning and high-performance computing to scientific and engineering problems.

My work combines Python-based ML, parallel computing (MPI/OpenMP), and GPU acceleration (CUDA, ROCm/HIP) to build predictive models and large-scale simulations for spintronics and magnetic materials.

I have led and published computational studies at institutions including Waseda University and RIKEN, and I mentor students in ML, HPC workflows, and scientific programming.

I seek to apply simulation-driven modeling, performance optimization, and data-driven approaches to accelerate research and translate computational insights into improved device design.

Experience

Work history, roles, and key accomplishments

Current

Visiting Assistant Professor

Current

African Institute for Mathematical Sciences

Jan 2022 - Present (3 years 9 months)

Taught quantum mechanics, computational physics, and Python with emphasis on ML applications, designing course materials and supervising student projects in computational methods.

Teaching Python Machine Learning Curriculum Development Mentoring Numerical Methods

Current

Research Assistant Professor

Current

Waseda University

Jan 2021 - Present (4 years 9 months)

Developed ML models and HPC simulations to predict spintronic phenomena (skyrmions, vortices, domain walls) and optimized magnetic materials and device designs; mentored students in Python, ML, and HPC workflows.

Python Machine Learning High Performance Computing MPI CUDA Data Analysis Slurm

Postdoctoral Researcher

Riken

Jan 2017 - Dec 2021 (4 years 11 months)

Led computational studies and parallelized algorithms for spin transport simulations on HPC clusters, applying ML techniques to model magnetic texture dynamics and improving simulation efficiency.

Python HPC Parallel Computing MPI OpenMP Machine Learning Spintronics Performance Optimization

Database Administrator

Ministry of Transport

Jan 2007 - Dec 2008 (1 year 11 months)

Designed and managed a relational database for the driver licensing system, implementing SQL schemas and ensuring structured data management and integrity.