Golisano College of Computing and
Information Sciences (GCCIS)
Rochester Institute of Technology (RIT)
I am a third year Ph.D. student in Computing and Information Science at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT) . I am a Graduate Research Assistant under the supervision of Prof. Anne Haake and Prof. Rui Li.
My research interests lie at the intersection of machine learning and network science, with a current emphasis on graph representation learning, graph neural networks and their application to computational biology.
Graph Representation Learning, Graph Neural Networks, Heterogeneous Data Integration, Computational Biology
|Jan 2019||Presented our paper "GNE: A deep learning framework for gene network inference by aggregating biological information" at APBC 2019.|
|Nov 2018||Attended Biological Data Science and presented poster at Cold Spring Harbor Laboratory (CSHL).|
|Oct 2018||My application for PyTorch Scholarship Challenge from Facebook on Udacity was accepted.|
|Sep 2018||Our paper "GNE: A deep learning framework for gene network inference by aggregating biological information" was accepted for oral presentation at APBC 2019.|
|Jul 2018||Poster entitled "Learning topology-preserving embeddings for gene interaction networks" was accepted for presentation at ECCB 2018 Poster Track.|
|Feb 2018||Presented poster "Network-based Learning to Infer Genetic Interaction Networks" in New Deep Learning Techniques Workshop at IPAM, UCLA.|
|Feb 2018||Attended New Deep Learning Techniques Workshop at IPAM, UCLA.|
|May 2017||Defended the PhD Research Potential Assessment.|
|Apr 2017||Presented poster "Reconstruction of Gene Regulatory Networks with Ensemble SVM" at GCCIS Research Showcase, RIT.|
|Aug 2016||Joined Rochester Institute of Technology as PhD Student in Computing and Information Sciences.|