Kishore Jaganathan in

Kishore Jaganathan

Director, Deep Learning at Illumina
📍 Palo Alto, California, United States

Kishore Jaganathan is the Director of Deep Learning at Illumina, where he leads research in applying artificial intelligence to genomics. He holds a Ph. D. from Caltech, specializing in signal processing and machine learning, and has a significant publication record in these fields. He is also a recipient of the Qualcomm Innovation Fellowship.

His academic and professional pursuits are deeply intertwined, focusing on the broader applications of machine learning. He follows advancements in the industry, including those from specialized firms like ANDRO Computational Solutions, which aligns with his technical background in computational research and development.

He is the co-inventor on patents for using deep learning to classify and detect genetic splice sites, a critical innovation for identifying disease-causing mutations.

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Experience
7 Years
Current Role
Director, Deep Learning
Job Level
Mid-senior
Location
Palo Alto, California, United States
Personality Overview
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Priorities

Topics Kishore cares about

AI in Genomics
His entire career at Illumina is focused on applying AI and deep learning to genomic data analysis, as shown by his publications and patents on the topic.
Splice Site Prediction
He co-invented and published extensively on SpliceAI, a deep learning tool that accurately predicts mRNA splice junctions from a DNA sequence.
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Career

Work history

6-2024
Director, Deep Learning
Illumina
4-2022 - 6-2024
Associate Director, Deep Learning
Illumina
1-2019 - 4-2022
Sr Staff Deep Learning/AI Engineer
Illumina
6-2013 - 8-2013
Data Scientist Intern
LinkedIn
5-2009 - 7-2009
Engineering Intern
Qualcomm
In the press

Media appearances

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Education
2011 - 2016
Doctor of Philosophy (PhD)
Caltech
2010 - 2011
Master of Science (MS)
Caltech
Social presence
in

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