Mohammed Ani

Machine Learning Engineer - R&D at Neurolabs

Mohammed Ani has diverse work experience in the field of computer science and machine learning. Mohammed is currently employed as a Machine Learning Engineer - R&D at Neurolabs since 2022. Prior to this, they worked as a Postdoctoral Research Fellow at the University of Birmingham from January 2022 to July 2022. In this role, they collaborated on a project focused on tracking membrane receptor interactions using data-driven machine learning. Mohammed developed computer vision algorithms for detection, localization, and tracking of molecules in single-molecule microscopy images. Mohammed was responsible for implementing state-of-the-art deep learning approaches using Python, PyTorch, and Matlab.

Before their research fellowship, Mohammed worked as a Teaching Assistant at the University of Birmingham from January 2017 to March 2019. Mohammed assisted second-year BSc. Computer Science students with computer graphics. Additionally, they gained experience as an Engineer at 3D Engine, where they contributed to the development of a compact multi-camera structured-light 3D scanning system. Their responsibilities included hardware testing, software development, camera calibration, and wireless communication.

Mohammed also completed a Technical Internship Summer Programme at the University of Birmingham in 2016, where they programmed a virtual reality (VR) application to support Chemistry students in performing pre-labs and lab experiments in VR.

Mohammed Ani pursued their education in a chronological manner, starting with their Bachelor of Science (BSc) degree in Electrical Engineering at the University of Southern California from 2010 to 2014. Mohammed then continued their academic journey by pursuing a Master of Science (MSc) degree in Computer Science at the University of Birmingham from 2015 to 2016. Building upon their MSc, Mohammed went on to pursue a Doctor of Philosophy (PhD) degree in Computer Science at the same institution, the University of Birmingham, from 2017 to 2021.

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