Mangal Prakash
About Mangal Prakash
Mangal Prakash is an AI Research Scientist currently working at Exscientia in Oxford, England. He has a strong academic background with a PhD in Computer Science from Technische Universität Dresden and has previously conducted research at the Max Planck Institute and the University of Minnesota.
Work at Exscientia
Mangal Prakash has been employed as an AI Research Scientist at Exscientia since 2021. In this role, he focuses on applying artificial intelligence techniques to enhance drug discovery processes. His work involves the development of algorithms and models that leverage machine learning to optimize various aspects of pharmaceutical research.
Education and Expertise
Mangal Prakash holds a Doctor of Philosophy (PhD) in Computer Science from Technische Universität Dresden, where he studied from 2017 to 2021. He also earned a Master of Science (MS) in Electrical and Computer Engineering from the University of Minnesota-Twin Cities, completing his studies from 2014 to 2016. Additionally, he obtained a Bachelor of Technology (B.Tech.) in Electrical Engineering from the National Institute of Technology Durgapur, where he studied from 2010 to 2014. His educational background provides a strong foundation in discrete optimization, computer vision, machine learning, and control systems.
Background
Before joining Exscientia, Mangal Prakash worked as a Researcher PhD Student at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) in Dresden, Germany, from 2017 to 2021. He also served as a Graduate Research Assistant at the University of Minnesota from 2015 to 2016. His experiences in these roles contributed to his expertise in deep learning and image analysis.
Research Contributions
During his PhD at TU Dresden and MPI-CBG, Mangal Prakash developed novel methods and workflows utilizing deep learning and probabilistic generative models for automating image analysis. His research included significant work on image denoising, object segmentation, and tracking in microscopy images. He built new algorithms aimed at addressing biomedical image analysis challenges, showcasing his capability in software development and collaborative projects.
Technical Skills
Mangal Prakash possesses expertise in developing software using Python and Java, emphasizing deployment, modularity, and accessibility. His technical skills are complemented by a strong foundation in areas such as discrete optimization, computer vision, machine learning, and control systems, which are essential for his research and development efforts in AI and image analysis.