Local Chapter

Paris, France Chapter


Active Projects: 1

Completed Projects: 0

Chapter Leads

Ismaila Lukman Enegi

Rebecca Alexander

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About Chapter Leads

Ismaila Lukman Enegi

I am a doctoral research student at the University of Angers, France. I focus on machine learning applications in medical imaging especially, in neurosurgical planning. In my previous years, I enjoyed professional engagement as a software engineer, with over 5 years of experience in using the web and mobile technologies through notable research projects and company-driven products. I have more than 3 years of university lecturing experience, where I enable students to succeed by demystifying complex theoretical concepts in computer science. As a solution-focused problem solver, I collaborate excellently with a multidisciplinary team in a wide range of topics in the computer science domain for scientific research. I am passionate about medical image processing, graph representation learning, image reconstruction, reinforcement learning, predictive modeling, and scalable algorithms.

Rebecca Alexander

Rebecca is a Physicist-turned-Data-Science professional, who enjoys coding to decode patterns in data. Prior to this, she completed her Ph.D. at the French Atomic Energy Commission (C.E.A., Saclay). She’s always interested in debates about causality v/s correlation and Data Science projects.