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I am a PhD student in Mechanical Engineering at the Georgia Institute of Technology. The focus of my research lies in the intersection of Materials Science and Data Science. I seek to incorporate novel data mining and analysis techniques in order to speed-up the rate at which new materials are deployed into the market. The implementation of my research has as an ultimate goal to reduce by half the cost and the time that is needed for a new structural material to be deployed into the market. This will be achieved by developing novel algorithms and computational models that allow for a much more computationally efficient and less time consuming screening process of potential candidate materials for a wide variety of structural applications such as the automotive and aerospace industry. I have innovative way of thinking, great ability and my unparalleled analytical skills allow me to rapidly come with a plan of action to tackle any research issue I face. I am also diligent and resilient to see a plan through while also being able to identify when is time to re-think, step back and change direction of approach. My interpersonal skills have allowed me to effectively lead the groups in the projects in which I am working on and my entrepreneurial spirit has allowed me to align professional opportunities with my own research direction. Before starting my PhD, I obtained my Master's degree in Mechanical Engineering from the Georgia Institute of Technology and a significant portion of my Master's studies were performed in Georgia Tech's satellite campus in France. I obtained a Bachelor's degree in Mechanical Engineering from the Georgia Institute of Technology and graduated with the Highest institutional honors. I am also fluent in Spanish, French and English and have conversational skills in Mandarin. I am always interested in meeting new people to discuss about my research or any other professional opportunities so please do not hesitate to contact me


David Montes de Oca Zapiain

David Montes de Oca Zapiain is currently pursuing a PhD in Mechanical Engineering at the Georgia Institute of Technology. All his higher education degrees have been obtained from the Georgia Institute of Technology. He earned his Bachelor's degree, with Highest Institutional Honors, in Mechanical Engineering in 2014 and in 2015 he obtained his Master's Degree in Mechanical Engineering as well. It is important to mention that a great portion of his Master's Studies where performed in the European Campus of Georgia Tech in France. Before his Graduate Degrees David worked for Toyota Motor Manufacturing and Nissan North America in their US headquarters. He also has performed various study abroad experiences with top-notch universities in France and in China. These experiences paired with his knowledge in Mechanical Engineering have tuned his analytical skills and his ability to solve complex problems. Also they allow him to approach and solve a problem with a Globally Oriented Mindset. The goal of David Montes de Oca Zapiain's research is to increase the speed and accuracy at which multiscale metal-plasticity simulations are performed. He specifically intends to provide a rigid bridging scheme between macroscopic J2 flow theory based finite element simulations and microscopic crystal plasticity based finite element simulations. He will achieve this goal by developing a fast, accurate and computationally efficient surrogate model for Crystal Plasticity Finite element simulations. This surrogate model will be developed by implementing the new Material Knowledge Systems Framework pioneered by the MINED Research group. The first iteration in the development of this scheme is to implement MKS to accurately predict the deformation of a perfectly plastic 2-phase composite.

Research Interests

  1. Materials Informatics
  2. Big Data Analytics
  3. Multiscale Simulations

Research Skills

Work Environment:


Areas of Experience:

Project Management, Quality Control and Management

Current Projects

  1. MKS Plasticity for 2 Phase Composite
  2. MKS for Crystal Plasticity Finite Element Simulations
  3. Process Structure Linkage for Grain Boundary Pinned Grain Growth

Recent Publications

  1. Andrew Medford, Chuan Shi, Max J. Hoffmann, Adam C. Lausche, Sean R. Fitzgibbon, Thomas Bligaard, Jens K. Norskov, CatMAP: A software package for descriptor-based microkinetic mapping of catalytic trends, Catalysis Letters, Volume 145, 2015
  2. Andrew Medford, Jess Wellendorff, Aleksandra Vojvodic, Felix Studt, Frank Abild-Pedersen, Karsten W. Jacobsen, Thomas Bligaard, Jens K. Norskov, Assessing the reliability of calculated catalytic ammonia synthesis rates, Science, Volume 345, 2015