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+  Quantum chemistry is more than just equations and codes—it has the potential to be a transformative tool in fields like energy, pharmaceuticals, and materials. Yet, a gap exists between academic research and real-world applications, and I aim to bridge that gap to drive innovative solutions across these industries.
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   I specialize in developing advanced and scalable quantum chemical algorithms rooted in electronic structure theory for ab initio simulations on both high-performance classical and quantum computers. My experience in both creating and utilizing quantum chemical software allows me to translate theoretical concepts into powerful tools that deliver simulations with enhanced precision and efficiency. With deep expertise in electronic structure for chemistry and materials science, and extensive experience applying computational chemistry across key industries—such as quantum technology, energy, pharmaceuticals, chemical sciences, and materials—I bring a unique perspective on how quantum chemistry can enhance fundamental understanding, deliver high-quality data for AI4Science, and drive transformative innovations across industrial sectors.
 
   During my Ph.D. at the University of Minnesota, Twin Cities, under the guidance of Professor Laura Gagliardi, I developed quantum embedding techniques based on density matrix and multiconfigurational methods for both molecules and periodic solids. My postdoctoral research at Columbia University with Professor David Reichman focused on advancing quantum Monte Carlo techniques in quantum chemistry, aiming to broaden their application beyond conventional methods.