Summary
Mohammed Al-jaff is a PhD student in Machine Learning at KTH Royal Institute of Technology with a decade of experience applying ML, computer vision and bioinformatics across academic and industrial R&D. Supervised by leading robotics and ML researchers, he works at the intersection of perception and learning—having tackled multimodal latent representations, self-supervised microscopy profiling, and image-based detection systems for health-tech clients. He pairs strong teaching and curriculum development experience in probabilistic ML with hands-on dataset engineering and deployment of computer vision models. His background in molecular biotechnology and bioinformatics gives him a practical edge in medical imaging and computational biology problems that demand both domain knowledge and scalable ML solutions. Notably, he blends disciplined execution—“I plan. I prepare. I show up. I execute.”—with a curiosity-driven research agenda that spans from algorithm design to real-world instrumentation.
9 years of coding experience
1 year of employment as a software developer
Philosophy, Philosophy at Stockholm University
High School Diploma, High School Diploma at Cybergymnasiet
Physics & Mathematics, Physics & Mathematics at Karlstad University
Master of Science in Engineering (civilingenjörsprogrammet), Molecular Biotechnology & Bioinformatics, Master of Science in Engineering (civilingenjörsprogrammet), Molecular Biotechnology & Bioinformatics at Uppsala University
Swedish, English