Dhiraj Singh is a Ph.D. student affiliated with the Biocomputing and Developmental System Group (BDS) within the Computer Science and Information Systems (CSIS) department at the University of Limerick. Under the supervision of Professor Conor Ryan, his research focuses on Interpretable AI and is supported by funding from the SFI Centre for research and training in AI. Dhiraj holds a master’s degree in informatics and communication from the University of Delhi.
Prior to starting his PhD, Dhiraj worked as a Senior Data scientist in healthcare R&D. He has also collaborated with research teams from Shanghai Jiao Tong University, University of Shanghai for Science and Technology, and the University of Houston on research within the technology forecasting domain. Additionally, he has played important roles in organizing ML conferences such as ICARTi 2021 and chaired the IEEE 25th International Conference on Computer-Supported Cooperative Work in Design (IEEE CSCWD 2022).
Currently, Dhiraj is focused on developing methodologies to interpret intricate and deep-learning AI models that are characterized by millions of parameters. The aim is to bolster their adoption in high-risk AI applications, especially within domains like healthcare.
Prior to starting his PhD, Dhiraj worked as a Senior Data scientist in healthcare R&D. He has also collaborated with research teams from Shanghai Jiao Tong University, University of Shanghai for Science and Technology, and the University of Houston on research within the technology forecasting domain. Additionally, he has played important roles in organizing ML conferences such as ICARTi 2021 and chaired the IEEE 25th International Conference on Computer-Supported Cooperative Work in Design (IEEE CSCWD 2022).
Currently, Dhiraj is focused on developing methodologies to interpret intricate and deep-learning AI models that are characterized by millions of parameters. The aim is to bolster their adoption in high-risk AI applications, especially within domains like healthcare.