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Dr. Mulang Onando
Dr. Mulang' Onando

I am currently working as a research scientist with IBM-Africa at the Nairobi Lab. My work involves designing and building innovative AI solutions for Health, specifically in the Foundation Models and density estimation for biophysical models in drug discovery. Previously I worked as a research scientist at the Institute for Applied Informatics (InFAI) and the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS). I have a strong research background in generative AI, knowledge graphs, deep learning for NLP, statistical subgroup analysis, and density estimation. You can also engage with me on my personal website: https://www.mulangonando.com



Research Work

Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text.

RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network.

Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models.


Supervised Projects