Vaibhav RAJAN

Assistant Professor
PhD (Computer Science), EPFL, Switzerland
MS (Computer Science), EPFL, Switzerland
BE (Computer Science), BITS, Pilani, India
651 66737

Research Areas

  • Data Science & Business Analytics
  • Healthcare Informatics

Research Interests

  • Deep Multi-View Learning Models And Algorithms
  • Combined Data-Driven And Knowledge-Based Models
  • Modeling Heterogeneous Clinical And Genomic Data
  • Applications In Healthcare And Bioinformatics


Vaibhav Rajan is an Assistant Professor in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore (NUS). Earlier, he was a Senior Research Scientist at Xerox Research where he led a project on Clinical Decision Support Systems for over four years. He has also worked as a consultant at Hewlett-Packard Labs and as Chief Data Scientist at Videoken (an education technology startup). Vaibhav Rajan received his PhD and Master’s degrees in Computer Science from the Swiss Federal Institute of Technology at Lausanne (EPFL), Switzerland in 2012 and 2008 respectively and his Bachelor’s degree in Computer Science from Birla Institute of Technology and Science (BITS), Pilani, India in 2004. His research interests include Machine Learning, Algorithm Design and their applications, primarily in Healthcare and Bioinformatics. He is a recipient of the ERS IASC Young Researchers Award 2014 given by European Regional Section (ERS) of the International Association for Statistical Computing (IASC).

Current Projects

  • Deep Multi-View Learning Methods for Cancer Drug Discovery
  • Models and Algorithms for Clinical Data Analysis

Selected Publications

  • "Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks", Aishwarya Jadhav and Vaibhav Rajan, 56th Annual Meeting of the Association for Computational Linguistics ACL 2018, Melbourne, Australia

  • "Vine Copulas for Mixed Data: Multi-view Clustering for Mixed Data Beyond Meta-Gaussian Dependencies", Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya, Machine Learning (Springer), 2017, 1-27

  • "ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets", Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava, 31st AAAI Conference on Artificial Intelligence AAAI 2017, San Francisco, USA

  • "Dependency Clustering of Mixed Data with Gaussian Mixture Copulas", Vaibhav Rajan, Sakyajit Bhattacharya, 25th International Joint Conference on Artificial Intelligence IJCAI 2016, New York, USA

  • "Analysis of gene copy number changes in tumor phylogenetics", Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Jijun Tang, BMC Algorithms in Molecular Biology, 11:26, 2016

Awards & Honours

  • ERS IASC Young Researchers Award 2014 given by European Regional Section (ERS) of the International Association for Statistical Computing (IASC)

Teaching (Year 2017/2018, Sem 2)

  • IS6103: Design Science Research In Information Systems