About me
I am a PhD candidate in Computer Science with a minor in Statistics at the University of Missouri, where I work as a graduate researcher in the Bioinformatics and Machine Learning Lab under the supervision of Dr. Jianlin Cheng. My research focuses on designing, developing, and applying deep learning methods to advance computational biology.
During my PhD, I attended the Oxford Machine Learning Summer School (2022-2023) and completed research internships with BIOVIA and Amazon. At BIOVIA, I developed an innovative AlphaFold-based deep learning workflow for conformational sampling, featured in a BIOVIA blog post. At Amazon, I fine-tuned multimodal models and developed deep learning models for relevance prediction.
Before my PhD, I completed an MSc in Computer Science from the University of Central Missouri under the guidance of Dr. Yui Man Lui, where my thesis, Recommendation System Using Factorization Model and MapReduce Framework, received the Graduate Research Award. I also received a graduate housing scholarship for academic performance. Additionally, I worked as a graduate student worker and served as an international student ambassador.
Before pursuing my MSc, I worked as a Software Engineer at Capgemini and led a team as a System Engineer at Max International. I received my undergraduate degree in Computer Science from Bangalore University, where I developed two projects: Supermarket Management System and Online Admission System.
Selected Publications
Nabin Giri and Jianlin Cheng. 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
Nabin Giri, Liguo Wang, and Jianlin Cheng. Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures. Nature Scientific Data (2024). Paper: doi.org/10.1038/s41597-024-03299-9 Code: github.com/BioinfoMachineLearning/cryo2struct
Catherine L Lawson, Andriy Kryshtafovych, Grigore D Pintilie, Stephen K Burley, . . . , Nabin Giri, . . . , Michael F Schmid, Helen M Berman, Wah Chiu. Outcomes of the EMDataResource Cryo-EM Ligand Modeling Challenge. Nature Methods (2024). Paper: doi.org/10.1038/s41592-024-02321-7
Nabin Giri, Raj S. Roy, and Jianlin Cheng. Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions. Current Opinion in Structural Biology (2023). Paper: doi.org/10.1016/j.sbi.2023.102536
For a complete list of my publications, please visit my Google Scholar profile.
Press
Paving the way for new treatments. University of Missouri, College of Engineering. 2024
Behind the Paper. Nature Portfolio Communities. 2024
Journey into Nabin Giri’s BIOVIA Internship: Conformational Sampling with AlphaFold. BIOVIA. 2023
Mizzou team ranks first in category at CASP15 protein prediction competition. University of Missouri, College of Engineering. 2023