Saikat Chatterjee

Professor, Division of Information Science and Engineering at KTH, Main supervisor: Explainable Machine Learning for Early Warning Systems, Co-PI: Data-Limited Learning of Complex Dynamical Systems - Impact and Demonstrators, Former Co-PI: Data-Limited Learning of Complex Dynamical Systems, Digital Futures Faculty

+46 8 790 84 78

Active in these projects

Ongoing

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Digital Futures Fellows

Explainable Machine Learning: Saikat Chatterjee

Background and summary of fellowshipData has all...

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Partner Postdoc

Explainable Machine Learning for Early Warning Systems (EMERDENSY)

About the project ObjectiveIn collaboration with Karolinska...

Diagram showing a mobile phone with a medical device and a person, linked by arrows to a cloud labelled Cloud-based eHealth solution, which connects to Healthcare decision support with two doctors and a computer screen.

Societal Partner

AI-based Asthma App using Spirometer (A3S)

About the project ObjectiveAsthmaTuner is an existing...

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Postdoc Fellowships

Topological Data Analysis for AI-based Personalized Dementia Treatments

About the project ObjectiveThe objective of the...

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Flagship

Biology-informed Robust AI Methods for Inferring Complex Gene Regulatory Networks (BRAI)

About the project ObjectiveThere are abundant unlabeled...

Completed

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Collaborative

Data-Limited Learning of Complex Dynamical Systems

About the project ObjectiveIn the Data-Limited Learning...

A flowchart showing how patient data and big data inform explainable machine learning for medication repurposing, prognosis, and warnings, with doctors and feedback loops included. Logos of institutions are shown at the bottom left.

Partner Postdoc

Explainable Machine Learning based Medication Repurposing for Dementia (XMLD)

About the project ObjectiveMedical doctors often face...

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Postdoc Fellowships

Extraction of Parkinson’s disease related temporal feature of brain activity

About the project ObjectiveThis research aims to...

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Collaborative Impact

Data-Limited Learning of Complex Dynamical Systems – Impact and Demonstrators

About the project ObjectiveThe goal of the...