I'm a postdoctoral researcher at Berkeley Lab, where I apply AI to structural biology. I did my PhD in Computer Science (minor in Statistics) at the University of Missouri under Dr. Jianlin Cheng and received the Outstanding PhD Student Award. During my PhD, I interned at BIOVIA and Amazon Science.
Prior to my PhD, I completed an MSc in Computer Science at the University of Central Missouri under Dr. Yui Man Lui. My thesis, Recommendation System Using Factorization Model and MapReduce Framework, received the Graduate Research Award.
Before pursuing my master's degree, I worked as a Software Engineer at Capgemini and led a team as a System Engineer at Max International.
Research
I'm broadly interested in AI for science, with my current work focused on developing computational methods for structural biology.
Selected Publications
De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM.
Nature Communications (2024).
Paper: doi.org/10.1038/s41467-024-49647-6 | Code: github.com/jianlin-cheng/Cryo2Struct
Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures.
Scientific Data (2024).
Paper: doi.org/10.1038/s41597-024-03299-9 | Code: github.com/BioinfoMachineLearning/cryo2struct
Outcomes of the EMDataResource Cryo-EM Ligand Modeling Challenge.
Nature Methods (2024).
Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions.
Current Opinion in Structural Biology (2023).
For an updated list of my publications, please visit my Google Scholar profile.
Press
Paving the way for new treatments.
University of Missouri, College of Engineering. 2024
Nature Portfolio Communities. 2024
Mizzou team ranks first in category at CASP15 protein prediction competition.
University of Missouri, College of Engineering. 2023