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Assistant Professor
Department of Agricultural and Biological Engineering
Purdue University

Bio

audio Somali Chaterji (pronounced shoh-MAH-lee CHA-ter-jee) is an Assistant Professor in the College of Engineering and College of Agriculture at Purdue University. She did her PhD in Biomedical Engineering from Purdue, winning the Chorafas Dissertation Award and Future Faculty Fellowship. She followed this up with a postdoc in Biomedical Engineering from UT Austin and another postdoc in Computer Science from Purdue. She leads the Innovatory for Cells and Neural Machines (ICAN) at Purdue. ICAN specializes in developing algorithms and statistical models for IoT and edge computing, on the one hand, and genome engineering, on the other. Somali has received funding from NIH (R01), DOD (ARL), NSF (CISE-CNS), USDA, as well as private industries like Amazon and Adobe Research. She is an Associate Editor of BMC Bioinformatics and serves on Program Committees of prestigious conferences in IoT and computational genomics like Usenix ATC, HotStorage, and Middleware, and reviews for high impact journals in computer systems and genomics such as Transactions on Networking, Genome Biology, Nucleic Acids Research, Nature Biotechnology, Nature Scientific Reports, and the BMC Series.

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Research

Cells and Machines Innovatory logo

ICAN

Innovatory for Cells and Neural Machines

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Podcast

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Non-Linear Computation

ICAN is publishing a podcast on Spotify and Apple, Non-linear computation - a podcast about domain-inspired machine learning and data engineering, focusing on genomics and IoT areas.

Spotify Apple

Zoom Room

Professor Chaterji's personal Zoom room

Zoom Room

ICAN Codebases

ICAN believes in a combination of open-source (copyleft) code and code to push our IP in the space of applied machine learning. With that in mind, we have our older bitbucket codebase with some public repositories and our new github codebase where our new codebases are being hosted.

Github Bitbucket

2020 Recap

Recap for the two thrusts of ICAN: computational genomics and edge analytics

Computational Genomics Edge Analytics