Mulang' is a research scientist at IBM Research Africa. He is currently involved with research on subgroup analysis. This involves applying techniques such as subset scanning and stratification to detect anomalous patterns of care in health records as well as on the application of machine learning algorithms to study population-level behavious and response to interventions. Mulang' holds a Bachelors in Computer Technology and a Master of Software Enhgineering Degrees from Jomo kenyatta University of Agriculture and Technology (JKUAT), as well as a PhD in Computer Science from the University of Bonn, in Germanny. He has previously conducted research on bridging the gap between the Natural Language Processing (NLP) and the Semantic Web communities by designing approaches and tools for the disambiguation of entities and relations in text to Knowledge Graphs (KGs) with outputs direct applicability in conversational AI systems such as question answering and dialogue systems, chatbots as well as automated KG construction, and population.