Yoona Yang
About Yoona Yang
Yoona Yang is a Postdoctoral Researcher at Sandia National Laboratories, specializing in chemical and biomolecular engineering with a focus on machine learning and quantum chemical simulations.
Postdoctoral Researcher at Sandia National Laboratories
Yoona Yang is currently a Postdoctoral Researcher at Sandia National Laboratories. Since 2020, she has been based in Livermore, California, where she contributes to the laboratory's cutting-edge research initiatives. Her role at Sandia National Laboratories involves conducting advanced research, likely focusing on her expertise in chemical and biomolecular engineering. Sandia is known for its work in national security, energy, and scientific innovation, allowing Yoona to apply her extensive knowledge in these areas.
Previous Position at Lehigh University
Prior to her current role, Yoona Yang worked as a Postdoctoral Research Associate at Lehigh University from 2019 to 2020. During her 7-month tenure in Bethlehem, Pennsylvania, she further developed her research skills and contributed to various projects within the field of chemical and biomolecular engineering. This position at Lehigh University provided her with valuable experience and built upon her foundation as a researcher.
Educational Background in Chemical and Biomolecular Engineering
Yoona Yang holds a Doctor of Philosophy (PhD) in Chemical and Biomolecular Engineering from Lehigh University, where she studied from 2014 to 2019. Additionally, she earned both her Bachelor of Science (BS) and Master of Science (MS) in Chemical Engineering from Hongik University, completing her studies there in 2011 and 2013, respectively. Her educational background has firmly grounded her in chemical and biomolecular engineering principles.
Research Experience Across Various Institutions
Over the years, Yoona Yang has amassed a wealth of research experience across multiple institutions. She served as a Visiting Research Assistant at Case Western Reserve University in 2018 and at the National Institute of Standards and Technology in 2017. Her early research experience started at Hongik University and continued at the Korea Institute of Science and Technology. Each role contributed to her extensive knowledge and research capabilities in the field of chemical engineering.
Development of Predictive Models Using Deep Learning
In her research, Yoona Yang has developed a predictive model of potential energy surfaces for heavy hydrocarbons utilizing deep learning techniques. This work highlights her ability to integrate computational methods and machine learning to enhance scientific understanding and prediction capabilities in chemical engineering. Her innovative approach to modeling has potential implications for various industrial applications.