Tuka Alhanai

I build technologies that help improve health and wellbeing.


My name is Tuka, and I'm a PhD candidate at the Massachusetts Institute of Technology. I apply techniques in signal processing, machine learning, and statistics to build A.I. systems that can decode speech into text, and interpret spoken interactions.

Signals, Patterns, and Understanding

I focus on problems that use a novel combination of information in order to develop a better understanding of how we speak, express emotions, and interact with each other. If we can understand this, then we are a step closer towards buidling a system we can use in our everyday lives to improve our health and wellbeing.

You can explore some examples of my work.


Spoken Language Biomarkers to Detect Cognitive Impairment
An automated system that evaluates speech and language features from audio recordings of neuropsychological exams.
Deep Learning for Speech-to-Text
Arabic speech-to-text system developed using 10 years of news data, and exploring a range of neural network topologies.
Lexical & Language Modeling for Arabic Speech-to-Text
Investigate lexical modeling, covering diacritics, pronunciation rules, and acoustic based pronunciation modeling.
Personalized Medication Dosing
A personalized medication dosing algorithm that is robust to missing data, and 29% more accurate than intensive care staff.
Images 2 Spreadsheet
An open-source tool for the transcription of paper-based medical spreadsheets.
Class - Speech & Language Technologies
A wearable A.I. that can interpret the mood of a spoken interaction.

Partnerships, Collaborations, and Experience

I've had the opportunity to work with some wonderful people and organisations. Their mentorship, guidance, and wisdom has allowed me to grow.

Mentors & Collaborators

Dr. Jim Glass
Dr. Rhoda Au
Ahmed Ali
Dr. Patrick Cardinal
Mohammad Ghassemi
Wei-ning Hsu
Mandy Korpusik
Sameer Khurana
Taha Merghani


Framingham Heart Study
In 1948, FHS scientists and participants embarked on an ambitious project to identify risk factors for heart disease. Today, the study remains a world-class epicenter for cutting-edge heart, brain, bone, and sleep research.
MIT Computer Science & Artificial Intelligence Laboratory
MIT's largest on-campus research insitute conducting work in theory, algorithms, robotics, language, vision, computational biology, and artificial intelligence.
Samsung Strategy & Innovation Center
SSIC’s focuses on strategic initiatives in areas such as digital health; data center and cloud computing; human-computer interface technologies; and the “Internet of Things,” among others.

Technology in the Wild

I like to see my work being used in real world applications, so I try hard to develop systems that can be deployed and used. I also have a startup - The Ghamut Corporation - that develops technologies at the interface of artificial intelligence and human interaction. Our projects include a mood sensing wearable (EMOTE) and a platform (CONNECT) to facilitate connections between prospective friends and co-workers. We also provide consulting services and end-to-end system development.


A platform that facilitates face-to-face interactions. Meet the most interesting person you've never met. We also pay for your lunch ;-)
Emote - Estimated Mood of Two Entities
A wearable A.I. that can interpret the mood of a conversation.


Web Development
Artificial Intelligence
App Development
Cloud Computing


MIT Graduate Student Life Grant
MIT de Florez Fund
MindHandHeart Innovation Fund
Legatum Fellowship
Sandbox Innovation Fund
MassChallenge Winner