Vedanth Iyer
About Vedanth Iyer
Vedanth Iyer is an undergraduate researcher at Yale University, specializing in computational chemistry and energy systems. He has previously worked at Caltech and has received accolades such as being a finalist in the 2021 Regeneron Science Talent Search and the 2021 Davidson Fellowship.
Current Work at Yale University
Vedanth Iyer is currently serving as an Undergraduate Researcher at the Batista Lab at Yale University. He has been in this role since 2022 and is involved in research that aims to experimentally test computational findings in the field of energy systems and processes. His work focuses on the application of Ab-initio Molecular Dynamics and Machine Learning to study borophene growth for lithium-ion battery anode materials.
Previous Experience at Caltech
Before joining Yale University, Vedanth Iyer worked as a Student Researcher at the Goddard Lab at Caltech from 2019 to 2021. During his two years in Pasadena, California, he engaged in research related to next-generation battery materials using computational chemistry techniques. This experience laid the foundation for his ongoing research interests in energy systems.
Education and Academic Background
Vedanth Iyer graduated from Sunset High School in 2021, where he earned his High School Diploma. He then enrolled at Yale University, where he is pursuing a Bachelor of Science in Computer Science, starting his studies in 2021. His academic journey has been marked by a strong focus on research in computational chemistry and energy systems.
Achievements and Recognitions
Vedanth Iyer has received notable recognition for his contributions to science and research. He was a finalist in the 2021 Regeneron Science Talent Search, a prestigious competition for high school seniors. Additionally, he was awarded the 2021 Davidson Fellowship, which honors extraordinary young individuals for their significant contributions in various fields, including science and technology.
Research Focus and Interests
Vedanth Iyer's research interests center on the use of computational chemistry techniques to explore next-generation battery materials. Since high school, he has been involved in research that focuses on the development of energy systems. His current work at Yale includes studying the growth of borophene as a potential material for lithium-ion battery anodes, utilizing advanced methodologies such as Ab-initio Molecular Dynamics and Machine Learning.