معرفی
Qianyi Cheng serves as an Assistant Professor in the Department of Chemistry at the University of Memphis, where she leads interdisciplinary research at the intersection of computational chemistry and machine learning. Prior to her faculty appointment, she held positions as a Postdoctoral Fellow at the Korea Institute for Advanced Study in Seoul and as a Research Scientist at the University of Memphis.
Her academic foundation includes:
- BS in Chemical Engineering and Technology from Nanjing Forestry University (2004)
- MS in Computational Chemistry from Mississippi College (2007)
- PhD in Chemistry from the University of Georgia under Prof. Henry F. Schaefer (2011)
Dr. Cheng's research program focuses on applying natural language processing, data mining, and machine learning techniques to computational biochemistry challenges. Her work spans quantum chemistry simulations, biochemical modeling, and AI-driven analysis of chemical systems, with particular emphasis on developing computational frameworks that bridge traditional chemistry methodologies with modern data science approaches. She directs The Cheng Lab, which operates within the Department of Chemistry's Computational and Theoretical research division.
No scientific awards or honors were documented in the provided materials.
Regarding academic mentorship, no student advisees or research teams were explicitly listed, though her lab structure suggests ongoing graduate student supervision. The department's research infrastructure includes facilities like MAMML and CROMIUM that likely support her computational work, though specific grant funding details remain unmentioned.
The Cheng Lab maintains active research operations focused on advancing machine learning applications in biochemical simulation and analysis.
