Vaibhav Rajan
Assistant Professor
DISA < SoC < NUS
Assistant Professor
DISA < SoC < NUS
I am an Assistant Professor in the Department of Information Systems and Analytics (DISA) at the School of Computing (SoC), National University of Singapore (NUS).
My research group works at the intersection of Machine Learning, Optimization and Algorithm Design, on projects ranging from model and algorithm development to applications, primarily in Healthcare and Bioinformatics.
DBLP | Google Scholar Citations | Complete List: List (by Area) | List (by Year) | Patents
PhD, Computer Science (2008 - 2012)
Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
Advisor: Professor Bernard Moret
MS, Computer Science, EPFL, Switzerland (2006 - 2008)
BE, Computer Science, BITS, Pilani, India (2000 - 2004)
Assistant Professor, School of Computing, National University of Singapore (2017 - )
Chief Data Scientist (Founding Member), VideoKen (2017)
Senior Research Scientist, Xerox Research Centre India (2016)
Research Scientist, Xerox Research Centre India (2012 - 2015)
Research Engineer, Hewlett Packard Labs (2004 - 2006)
Conference Program Committee Member
International Conference of Information Systems (ICIS) 2019-22
Workshop on Information Technologies and Systems (WITS) 2020-22
International Joint Conference on Artificial Intelligence (IJCAI) 2016, 2018-20
AAAI Conference on Artificial Intelligence (AAAI) 2017, 2019-21, 2022 (SPC)
Neural Information Processing Systems (NeurIPS) 2019-23
International Conference on Machine Learning (ICML) 2019, 2022-23
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2019
RECOMB Workshop on Comparative Genomics (RECOMB-CG) 2019, 2022
ACM IKDD Conference on Data Sciences (CODS) 2015-19
Towards health futures: digital innovation, infrastructure, and entrepreneurship on bio data, Berlin 2019
IEEE International Conference on Healthcare Informatics (IEEE ICHI) 2019
Associate Editor:
INFORMS Journal on Data Science
Reviewer:
Bioinformatics, Journal of Medical Internet Research, Journal of Biomedical and Health Informatics, Data Mining and Knowledge Discovery, ACM Transactions on Knowledge Discovery from Data, Econometrics and Statistics, PLoS Computational Biology, IEEE Transactions on Big Data, Information Systems Research
Organizing Committee Member
Singapore Workshop on Data Science and ML in Healthcare and Medicine 2023
WALCOM 2020
Program on Combinatorial Problems for String and Graph and Their Applications in Bioinformatics, Institute for Mathematical Sciences, NUS 2020
French-Singapore Workshop on AI and Health, 17th World Congress of Medical and Health Informatics MEDINFO 2019, Lyon, France
ACM IKDD CODS-COMAD 2018, 2022
International Workshop on Predictive Analytics for Critical Care (PACC), part of PAKDD 2016
XRCI Open 2016
Principal Investigator, AI Singapore 100E, Project: "Personalized treatment prediction for therapy-resistant cancers" (2023)
Principal Investigator, Singapore MOE AcRF Tier I, Project: "Explainable Risk Models for Heterogeneous Patient Populations in Critical Care" (2023)
Co-Investigator, National University Cancer Institute Singapore (NCIS) and NUS Centre for Cancer Research, Project: "A Phase II trial of neural network-based treatment decision support tool in patients with refractory solid organ malignancies" (2022)
Principal Investigator: Singapore MOE AcRF Tier I, Project: "Deep Neural Representation Learning from Sparse and Noisy Biomedical Data Sources" (2020)
Principal Investigator: Singapore MOE AcRF Tier I, Project: "Adaptive and Personalized Behavioral Therapy Planning for Children with Autism Spectrum Disorders" (2020-23)
Principal Investigator: Singapore MOE AcRF Tier I, Project: "Deep Multi-View Learning Methods for Discovering Targeted Cancer Therapeutics" (2018-21)
Principal Investigator: Singapore MOE AcRF Tier I, Project: "Models and Algorithms for Clinical Data Analysis" (2017-20)
Xerox Liaison Manager: Xerox Foundation University Affairs Commission Grant for project at Indian Institute of Science, Bangalore, India for project “Robust Decision Making using Kernel Classifiers” (2015-16)
Xerox Co-Liaison Manager: Xerox Foundation University Affairs Commission Grant for project at University of Texas, Austin, USA for project “Multi-label Classification and Recommender Systems” (2015-16)
Principal Investigator: Xerox Research Centre India Open Innovation Grant for collaborative project with Kasturba Medical College, Manipal University, on “Risk Factors for Stroke in an Indian Population and Prediction Algorithms for Stroke Severity” (2013-16)
Principal Investigator: Xerox Research Centre India Open Innovation Grant for collaborative project with St. John’s Hospital and Research Institute, Bangalore on “Risk Factors for Stroke in an Indian Population and Prediction Algorithms for Stroke Outcome” (2013-16)