About me
I am a fifth-year Ph.D. candidate in the GCCIS program at the Rochester Institute of Technology (RIT). I am a Graduate Research Assistant at the Lab of Use-Inspired Computational Intelligence (LUCI) under the supervision of Dr. Anne Haake and Dr. Rui Li.
Research
I am a machine learning scientist working at the intersection of machine learning and biology. My research aims in representing complex systems as a network and develop network-based machine learning (deep learning) methods to study, understand and explain the system. Specifically, my Ph.D. work focuses on designing the structure of a neural network-based encoder to learn the representation of biological entities in the network and model interactions between these entities. Recently, I am working on inferring the structure of neural network-based encoder using Bayesian Model Selection.
Interests
- Data Science
- Graph Representation Learning
- Deep Learning
- Machine Learning
- Network Biology
Education
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B.E. in Computer Engineering, 2014
Institute of Engineering, Tribhuvan University
