Marcus D. Hanwell is a Technical Leader in the Scientific Computing group at Kitware, Inc. He leads the Open Chemistry project, which focuses on developing open-source tools to for chemistry, bioinformatics, and materials science research. He completed an experimental PhD in Physics at the University of Sheffield, a Google Summer of Code developing Avogadro and Kalzium, and a postdoctoral fellowship combining experimental and computational chemistry at the University of Pittsburgh before moving to Kitware, Inc. in late 2009. He is a member of the Blue Obelisk, blogs, is @mhanwell on Twitter, and is active on Google+ . He has also written several guest posts for opensource.com and the Kitware Source. He is passionate about open science, open source and making sense of increasingly large scientific data to understand the world around us.
Dr. Hanwell has played a key role in developing new development workflows as Kitware’s open source projects moved to Git, works on Gerrit code review integration, runs CDash@Home cloud-based testing with Gerrit code review, and contributes to next generation build systems in the VTK, ITK, and Titan projects. He has also been awarded and led a Phase I and Phase II SBIR project to further develop open-source chemistry tools for computational chemistry, and has taken part in international collaborations to establish open standards for data exchange in chemistry.
Additionally, Dr. Hanwell has been an active member of several open-source communities. He is one of the core developers of Avogadro, an open-source, 3D, cross-platform molecular visualization and editing application/library. He has been an active member of the Gentoo and KDE communities, and is a member of the KDE e.V. His work in Avogadro was featured by Trolltech on their “Qt in Use” pages, and he was selected as a Qt Ambassador. He won a Blue Obelisk award for his work in open chemistry, and continues to develop and promote open approaches in chemistry and related fields. He has also worked throughout his career on approaches that use both experimental and computational approaches to validate theories and models, and continues to seek ways in which software tools can be created to make comparison and validation simpler.