Matthew Miller

Matthew Miller

Application Scientist @ Dotmatics

About Matthew Miller

Matthew Miller is an Application Scientist at Dotmatics, specializing in structure-based and ligand-based drug design with expertise in QSAR modeling. He has a strong background in computational chemistry and has previously worked at AstraZeneca and Pfizer Pharmaceuticals.

Work at Dotmatics

Matthew Miller has been employed as an Application Scientist at Dotmatics since 2016, contributing to the company for eight years in the Greater Boston Area. In this role, he provides cross-project team support, which highlights his collaborative approach to scientific research. His expertise in both structure-based and ligand-based drug design is integral to his work, allowing him to engage in critical methodologies within computational chemistry.

Education and Expertise

Matthew Miller earned his Doctorate in Chemistry and Pharmaceutical Science from the University of Missouri - Kansas City, completing his studies from 1999 to 2004. His academic background equips him with a strong foundation in drug design methodologies. He possesses specialized skills in QSAR modeling, which is essential for predicting the activity of chemical compounds, and is experienced in sequence alignment and analysis, crucial for genetic information understanding.

Previous Experience at AstraZeneca and Pfizer

Prior to his current role at Dotmatics, Matthew Miller worked at AstraZeneca R&D from 2007 to 2013 as a Scientist and Senior Scientist for six years in Waltham, MA. He also spent 11 months in 2006 as a Scientist at Pfizer Pharmaceuticals in Cambridge, MA. His experience in these roles has contributed to his expertise in drug design and computational chemistry.

Technical Skills and Contributions

Matthew Miller utilizes conformational analysis through molecular dynamics and quantum mechanical calculations to study the physical properties of molecules. His technical skills are complemented by excellent communication and presentation abilities, which are vital for conveying complex scientific information effectively. Additionally, he offers software training, demonstrating his commitment to educating others in the use of specialized modeling tools.

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