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About Maluuba The Maluuba team is driven by a single defining purpose: to expose the potential of natural language process to the world and empower modern day smart devices and services. We’re pushing the boundaries of voice search with our commitment building state of the art technology in the fields of NLP, Machine Learning and AI. To date, our technology is present in tens of millions smart devices around the world in various languages. Join us and help invent the future!                    

Population-scale analysis of genomic variation linked to individual-level data on disease, treatment, and response, has the potential to answer many key questions in biomedical research about the biological processes that lead to disease and how best to design effective, and individualized interventions. However, the analysis of medical data obtained from routine sources and through self-reporting has many challenges.

Recent advances in AI and deep learning are capturing headlines, and yet suffer from a variety of short-comings, including catastrophic forgetting, inability to generalize robustly, susceptibility to bias, and inadequate techniques for introspection and explanation. Many of these are challenges where an even greater influence from the expertise and rigorous approaches of data science could have profound effects.