Navin Elango Email & Phone Number
@corteva.com
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Who is Navin Elango? Overview
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Navin Elango is listed as Data Science and Informatics R&D at Corteva Agriscience, based in Indianapolis, Indiana, United States. AeroLeads shows a work email signal at corteva.com and a matched LinkedIn profile for Navin Elango.
Navin Elango previously worked as Data Science Manager at Corteva Agriscience and Scientist - Computational Biology at Dow Agrosciences. Navin Elango holds Phd, Bioinformatics from Georgia Institute Of Technology.
Email format at Corteva Agriscience
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AeroLeads found 1 current-domain work email signal for Navin Elango. Compare company email patterns before reaching out.
About Navin Elango
Navin Elango is a Data Science and Informatics R&D at Corteva Agriscience. He possess expertise in bioinformatics, genomics, computational biology, sequencing, machine learning and 21 more skills.
Listed skills include Bioinformatics, Genomics, Computational Biology, Sequencing, and 22 others.
Navin Elango's current company
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Navin Elango work experience
A career timeline built from the work history available for this profile.
Scientist - Computational Biology
Strategic Business Analyst - Itda
Member of the Dow AgroSciences R&D IT and Data Analysis (ITDA) Leadership TeamDevelop and manage ITDA project portfolio for Dow AgroSciences R&D Biotech Discovery Phase
Technical Lead - Genomics
Technical Lead - Sequence Analyses
Post-Doctoral Research Scientist
• Investigated the pattern of DNA methylation in insect genomes.• Experience with several high-throughput computational biology data and methods.
Graduate Research Assistant
• Investigation of Genome-wide DNA Methylation Patterns and Its Effects on Gene Expression • Large-scale Sequence Analyses to Study the Effect of Mutational Origins on the Genomic Molecular Clock• Comparative Genomic Analysis Of the Molecular Clock • Genome-wide Yeast Protein Domain Analysis – In Search For the Cruciform Junction Resolvase
Machine Learning Research Programmer
• Used machine learning and image processing techniques to extract features and patterns from images.• Experience with several supervised and unsupervised machine learning algorithms.
Graduate Research Assistant - Machine Learning
• Developed a genetic algorithm to identify the best subset of input features to be given to an ensemble of learning algorithms in a parallel environment.• Implemented and used several machine learning algorithms including genetic algorithm, artificial neural networks, decision trees, and K-means clustering.
Software Engineer
• Involved in the development of a Java based messaging platform with oracle back-end for business applications.• Experience with web application development and relational database management.
Navin Elango education
Phd, Bioinformatics
Ms, Computer Science
Msc (Tech), Engineering Technology
Frequently asked questions about Navin Elango
Quick answers generated from the profile data available on this page.
What company does Navin Elango work for?
Navin Elango works for Corteva Agriscience.
What is Navin Elango's role at Corteva Agriscience?
Navin Elango is listed as Data Science and Informatics R&D at Corteva Agriscience.
What is Navin Elango's email address?
AeroLeads has found 1 work email signal at @corteva.com for Navin Elango at Corteva Agriscience.
Where is Navin Elango based?
Navin Elango is based in Indianapolis, Indiana, United States while working with Corteva Agriscience.
What companies has Navin Elango worked for?
Navin Elango has worked for Corteva Agriscience, Dow Agrosciences, Georgia Institute Of Technology, Visual Learning Systems, and University Of Montana.
How can I contact Navin Elango?
You can use AeroLeads to view verified contact signals for Navin Elango at Corteva Agriscience, including work email, phone, and LinkedIn data when available.
What schools did Navin Elango attend?
Navin Elango holds Phd, Bioinformatics from Georgia Institute Of Technology.
What skills is Navin Elango known for?
Navin Elango is listed with skills including Bioinformatics, Genomics, Computational Biology, Sequencing, Machine Learning, Systems Biology, Genetics, and R.
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