Technical team members introduction
We have technical members with diverse backgrounds in materials R&D who can provide multifaceted support to our customers, not just in how to use our tools, but also in calculation methods from the perspectives of materials R&D and computational chemistry, and even specific examples.
Hirotaka Yonezawa
Customer Success Engineer
Matlantis Corp. (JPN)
After obtaining his PhD in Science from the University of Tokyo, he worked at a consulting firm, working on improving business efficiency through data science, including materials informatics. He joined Matlantis because he was interested in using simulations to generate ideal data. Since joining the company, he has been considering developing services that aim to create a world in which even experimental chemists can use computational chemistry to improve the efficiency of their research. His specialties are organic synthesis, supramolecules, and photochemistry.
Joshua Young
Senior Application Scientist
Matlantis Inc. (USA)
Joshua received his PhD in Materials Science and Engineering from Drexel University, followed by appointments at the Naval Research Laboratory, Binghamton University, and the New Jersey Institute of Technology. Over the course of his career, he has used a wide variety of computational techniques, including density functional theory, molecular dynamics, and materials informatics/machine learning, to study and design materials for electronics, batteries, catalysis, and more.
Lieven Bekaert
Customer Success Engineer
Matlantis Corp. (JPN)
Lieven completed a BSc/MSc in Chemistry and a PhD in Engineering at the Vrije Universiteit Brussel, during which he applied computational chemistry (first-principle and machine-learning potential methods) to investigate electrode-electrolyte reactions for solid-state inorganic and polymer electrolytes in rechargeable lithium and sodium ion batteries. His current focus is on battery chemistry and the investigation of interfaces, particularly for international clients.
Qing-Jie Li
Senior Application Scientist
Matlantis Inc. (USA)
After receiving his Ph.D.in Materials Science and Engineering from Johns Hopkins University, he was a Postdoctoral Associate at MIT, where his research focused on developing and applying machine learning interatomic potentials (MLIP) for energy materials. He then worked as a Senior Engineer at Samsung Semiconductor US, contributing to computational materials discovery for battery applications before joining Matlantis, Inc. He is currently focused on sustainable materials solutions through the application of computational materials science and artificial intelligence (AI).
Taku Watanabe
Principal Researcher / Head of Global Customer Success
Matlantis Corp. (JPN)
After obtaining his Ph.D. from the University of Florida, Taku worked as a postdoctoral researcher at Georgia Institute of Technology, where he engaged in nanoporous material (zeolite, MOF) research. After returning to Japan, he led the development of materials for next-generation batteries at Samsung R&D Institute Japan and then later joined ENEOS to pursue research in energy materials. Leveraging his diverse background in simulation and experimental work, he is now focused on customer success initiatives that employ cutting-edge materials research techniques, specifically through the use of machine learning and computational chemistry. In addition to developing computational technology for inorganic materials in general, he also oversees the organization and operation of overseas customer support.
Yusuke Asano
Head of Customer Success
Matlantis Corp. (JPN)
After completing a Master’s Degree in Science and Engineering at Sophia University, he worked as a researcher at a Japanese chemical company for approximately 12 years. During this time, his research and development focused on semiconductor materials, including ArF immersion photoresists and CMP materials. He was also dispatched for overseas research to the Grant Willson group at The University of Texas at Austin, where he worked on DSA.
Following a position at ENEOS starting in March 2019 , where he researched material design using Materials Informatics and was involved in the development of material design methods using universal machine learning inter-atomic potential (uMLIP), he joined Matlantis corp. in a Customer Success role. His field of expertise includes organic synthesis, polymer synthesis/evaluation, photoresist materials, self-assembly materials, machine learning, atomistic-level simulation, patent analysis, and literature analysis. His interests include new material exploration, panoramic analysis, and trend analysis.
-
URL
Copied
