💻 Computational Biology | 🏫 Brown University｜📍 Providence, RI, US
Hi! I'm Ruohan (Roxanne) Wang, a passionate learner and aspiring researcher in the field of Computational Biology.
I am an 1st year PhD student in Computational Biology at Brown University. Previously, I received my BS in Computer Science from McGill University with First Class Honours.
Ruohan, can be pronounced similar to 'Roxanne' with a replacement of the 'X' to 'H'.
I am passionate about harnessing the power of machine learning and deep learning methodologies to tackle challenges in the domains of Spatial transcriptomics, Single-cell genomics and electronic healthcare. My overarching goal is to unlock novel biological insights and significantly advance predictive/precise healthcare leveraging these cutting-edge technologies.
Additionally, I am keenly interested in utilizing these techniques to expedite drug discovery processes, further contributing to the field of pharmaceuticals.
Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao P. Wu* and Jun Ding*. "MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell." Nature Communications, 2024. [paper] [code]
Ruohan Wang, Zilong Wang, Ziyang Song, David L. Buckeridge and Yue Li*. "MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling." ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2024. [paper] [code]
I was involved in research at McGill University under the supervision of Prof. Yue Li, focusing on multimodal hierarchical Bayesian topic modeling of Electronic Health Records (EHR).
I worked at the McGill University Health Center (MUHC) with Prof. Jun Ding, collaborating with Prof. Tao Wu at Baylor College of Medicine on employing deep learning approaches to model Single Cell Genomics.
I collaborated with PhD candidates of Prof. Hongliang Ren at CUHK, contributing to the research on trustworthy and robust Surgical Gesture Recognition.