Nataraj Dasgupta, RxDataScience, Inc.

Nataraj Dasgupta Nataraj is the Vice President of Advanced Analytics at RxDataScience Inc.. Prior to his current role, he led the Data Science division at Purdue Pharma, L.P. and was responsible for the design, development and architecture of Purdue’s award-winning Big Data and Machine Learning Platform.

Nataraj has over 19 years of industry leading experience in developing the vision, strategy and execution of cutting-edge enterprise analytics platforms for Big Data and Data Science. He has worked in the technology divisions of Philip Morris, IBM, UBS Investment Bank and Purdue Pharma.

Nataraj is also author to his 2018 published book, “Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R.” This work is targeted towards aspiring Big Data Professionals and explains what Big Data analytics means, how it drives revenues for organizations, and how they can develop their own Big Data analytics solution using different tools and methods.

Sessions

4:30 PM - 5:00 PM

Innovation Spotlight ChangeMaker Presentations

How much can you learn in five minutes? Quite a bit. Hear quick hitting presentations on the latest products, new releases, exciting innovations, and more. Each presenter will speak for 5 minutes and then will be available to answer questions during the reception.

David Wild, Ph.D. — Knowledge Graphs: A Transformative New Approach for Drug Discovery
  • Knowledge Graphs (KGs) are a transformative new way to think about drug discovery data
  • KG-based tools open up powerful new scientific and decision-making capabilities
Paul Courtney — Applications of Machine Learning in Clinical Data Management

Rashan Jibowu — Driving Strategic Decisions with Machine Learning

Leila Pirhaji, Ph.D. — AI-Driven Drug Discovery via Metabolomics
  • Metabolomics, or studying small molecules, are essential for discovering the right therapeutics for the right patients
  • How AI can contribute to characterizing a large number of metabolites, or small molecules, inexpensively and fast
Wayne R. Danter, MD — DeepNEU: Cellular Reprograming Comes of Age–a Machine Learning Platform with Application to Rare Diseases Research
  • Stem cell research will inevitably be transformed by computer technologies. The results of the initial DeepNEU project indicate that currently available stem cell data, computer software and hardware are sufficient to generate basic artificially induced pluripotent stem cells (aiPSC)
  • The application of this computer technology to generate disease specific aiPSCs has the potential to improve 1. disease modeling, 2. rapid prototyping of wet lab experiments, 3. grant application writing and 4. specific biomarker identification in a highly cost-effective manner

Moderator

Speakers


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