Dina Katabi

Dina Katabi is principal investigator for AI and health at the MIT Jameel Clinic, the epicentre of AI in healthcare at the Massachusetts Institute of Technology (MIT). She is also the Thuan and Nicole Pham Professor of Electrical Engineering and Computer Science at MIT and director of the MIT Center for Wireless Networks and Mobile Computing.

Dina works at the interface of computer science and electrical engineering to improve the speed, reliability, and security of data exchange, particularly in wireless networks. A leader in wireless data transmission research, Dina has developed wireless devices that use radio signals and AI to sense, analyse and learn human movements, breathing, heart rate and sleep patterns without the need for wearable sensors or physical contact. Her technologies improve not only improve patient monitoring, and make continuous medical data and predictive analyses available to doctors as well as insurance and pharmaceutical companies, but also help detect health emergencies.

The devices have made major contributions to better understanding of chronic diseases. In 2022, with a team from MIT Jameel Clinic, Dina developed an AI system capable of detecting Parkinson’s—the fastest-growing neurological disease in the world—by monitoring a person’s breathing patterns during sleep. Tested in one of the largest sleep studies ever conducted on the disease, the results have helped accelerate the development of new Parkinson’s therapies.

Dina took a bachelor’s of science from the University of Damascus, followed by a master’s of science and a PhD in computer science from MIT. She is a member of the National Academy of Engineering and a recipient of the 2013 MacArthur "genius grant" Fellowship. In 2016, Dina co-launched Emerald, a start-up for non-invasive health monitoring which was invited to exhibit at Barack Obama’s White House Demo Day event in 2015. In 2018 she received the Association for Computing Machinery Prize in Computing. In 2023 Dina Katabi was elected a member to the National Academy of Sciences (NAS) for her research on AI and wireless systems. Established in 1863, NAS membership is one of the most prestigious honours a scientist can receive.

News

MIT Jameel Clinic principal investigator Dina Katabi elected to National Academy of Sciences

MIT Jameel Clinic hosts regional convening on AI and healthcare in Dubai in partnership with UAE Artificial Intelligence Office

Media

MIT Jameel Clinic conference urges use of AI in healthcare

صباح الخير يا عرب | مؤتمر دور #الذكاء_الاصطناعي في الرعاية الصحية للمرة الأولى في المملكة

عيادة جميل في MIT تنظم أول مؤتمر يبحث دور الذكاء الاصطناعي في الرعاية الصحية في المملكة

Cyclerion strengthens board of directors with experienced company builder and cutting-edge innovator

What does the future hold for generative AI?

GIST scientists advance voice pathology detection via adversarial continual learning

AI ‘can’t fly solo,’ needs humanising context for use in healthcare, data expert emphasises

AI detects or predicts Parkinson's and potential disease-modifying drugs

AI's balance of power: AI needs people as much as it needs data

AI’s balance of power

World laureates forum to convene in Shanghai this november

Katabi earns SIGCOMM Lifetime Achievement Award

How machine learning models can amplify inequities in medical diagnosis and treatment

What can ubiquitous radio waves do for healthcare?

Verge Genomics to incorporate Emerald digital health technology into its ALS phase 1b proof-of-concept clinical trial

Five MIT faculty elected to the National Academy of Sciences for 2023

National Academy of Sciences elects Jameel Clinic PI Dina Katabi

Fadel Abid: Sensing with purpose

Jameel Clinic and UAE Artificial Intelligence Office hosts conference on AI and healthcare

MIT Jameel Clinic hosts meet on AI and healthcare, to roll out clinical tools

Syrian scientist develops AI system to detect Parkinson's early from breathing patterns

In-home wireless device tracks disease progression in Parkinson’s patients

AI model can detect Parkinson’s from breathing patterns

A new algorithm could spot Parkinson’s early. Will it help?

Artificial intelligence detects symptoms of Parkinson's disease

A unique scientific device can detect symptoms of Parkinson's based on your breathing

Breakthrough in detecting Parkinson’s using AI and breathing pattern by Jameel Clinic

MIT Jameel Clinic makes breakthrough in Parkinson’s

Breakthrough in detecting Parkinson’s using AI and breathing patterns

Jameel Clinic provides a scientific breakthrough in early detection of Parkinson's disease symptoms

MIT device senses breathing patterns to spot Parkinson’s disease

Artificial Intelligence Model Detects Parkinson’s From Breathing Patterns

Now AI can detect Parkinson's disease while you are sleeping

This AI bot detects Parkinson’s by listening to you breathe

Scientists invent device that can detect Parkinson’s disease when you’re asleep

In early research, an AI model detects signs of Parkinson’s using breathing patterns

Artificial intelligence model can detect Parkinson’s from breathing patterns

Dina Katabi works to bring personalised medicine home

Seven from MIT elected to American Academy of Arts and Sciences for 2022

Events

MIT-MGB AI Cures conference 2024

AI Cures • MENASA 2023

MIT x MGB AI cures conference

AI Cures • MENASA 2022

MIT Jameel Clinic: The power of AI to ensure equity in healthcare