Welcome to the Open Networks and Big Data Lab, led by Prof. Lakshminarayanan Subramanian.

We are a team of researchers in the Courant Institute of Mathematical Sciences at New York University, focusing on fundamental and applied research in the broad areas of networked systems and machine learning/big data analytics. We solve real-world societal problems at scale, and extract and address the fundamental research questions underlying these problems as well as translate our ideas into practice for societal impact. The larger goal is to contribute to socio-economic development by designing innovative computing technologies for real world societal challenges. Our research philosophy places a strong emphasis on “end-to-end system design”, where we design, implement, deploy and evaluate our solutions in the real world and push successful ideas towards adoption at scale.

We are part of the NYU Systems group in the Computer Science Department.

• 5G: ECN prediction [Mobicom mmnets ’19], ALCC [ATC ’18], Verus [SIGCOMM ’15]
• Mobile Web: GAIUS [ICTD ’19], GreenApps [COMPASS ’18]
• Privacy and Contextual Integrity: VACCINE [WWW ’19], RECIPE [ACL MRQA ’18], Privacy Norms [HCOMP ’16]

• Fairness and Interpretability: Pareto Fairness [iConference '22], [ICML AI4SG '19], Counterfactual Robustness [EMNLP '21]
• Causal Inference: Predictive Causal Graphs [EMNLP '19], Causal Faithful Embeddings [ACL '21]
• Mixture Estimation: Non-Parametric Choice Models [Management Science '19], Customer Segmentation [Operations Research '18]
• Crowds: Adversarial Inference [JMLR '18, NeurIPS '14]

• Health Recommendations: Domain-Specific Concordance [WSDM '21], DICE [JAMIA '21]
• AI and Global Health: MERS [COMPASS '19], Dengue outbreak prediction [Science Advances '16], Opioid Addiction [Frontiers in AI '21], COVID-19 [JAMA '20]
• ML for Bioinformatics: Sepsis [Briefings in Bio '19], GWAS [ICML WCB '18]

• Socio-economic Inference: Famine Forecasting [Working paper], News Analytics [KDD '16]
• Urban Analytics: Traffic [KDD UMCit '18, DEV '12], Air Quality Forecasting [Working paper]