Marzyeh Ghassemi

On leave

Faculty Member

Assistant Professor (Status Only), Department of Computer Science, University of Toronto

Canada CIFAR Artificial Intelligence Chair

Marzyeh completed her PhD at MIT where her research focused on machine learning in health care, exploring how to predict immediate and long-term patient needs to inform decisions in the intensive care unit and ambulatory care. Her current research interests include clinical risk prediction with semi-supervised learning, optimal treatment discovery using expert demonstrations, and non-invasive patient phenotyping for behavioral conditions. Prior to MIT, she received a B.S. degree in computer science and electrical engineering at New Mexico State University and Master’s degree in biomedical engineering from Oxford University. Marzyeh is on the Board of Women in Machine Learning (WiML), and co-organized the NIPS 2016/2017 Workshop on Machine Learning for Health, and MIT’s first Hacking Discrimination event.

Research Interests

  • Health
  • Fairness
  • Representation Learning
  • Unsupervised Learning
  • Latent Variable Models
  • Neural Networks
  • Creating and applying machine learning algorithms towards improved prediction and stratification of relevant human risks

Highlights

  • Nominated for 2017 Best Student Paper at AMIA Summit on Clinical Research Informatics (CRI) for “Predicting Intervention Onset in the ICU with Switching State Space Models”
  • First Place at 2014 MIT $100K Accelerate $10,000 Daniel M. Lewin Accelerate Prize, Kohana Student Team
  • First Place at 2013 MIT Sloan-ILP Innovators Showcase, Sana AudioPulse Student Team
  • American Marshall Scholar 2008

Publications

Ethical machine learning in healthcare

Irene Y Chen and Emma Pierson and Sherri Rose and Shalmali Joshi and Kadija Ferryman and Marzyeh Ghassemi

2021

The false hope of current approaches to explainable artificial intelligence in health care

Marzyeh Ghassemi and Luke Oakden-Rayner and Andrew L Beam

2021

An empirical framework for domain generalization in clinical settings

Haoran Zhang and Natalie Dullerud and Laleh Seyyed-Kalantari and Quaid Morris and Shalmali Joshi and Marzyeh Ghassemi

2021

Implementing machine learning in medicine

Amol A Verma and Joshua Murray and Russell Greiner and Joseph Paul Cohen and Kaveh G Shojania and Marzyeh Ghassemi and Sharon E Straus and Chloe Pou-Prom and Muhammad Mamdani

2021

The role of machine learning in clinical research: transforming the future of evidence generation

E Hope Weissler and Tristan Naumann and Tomas Andersson and Rajesh Ranganath and Olivier Elemento and Yuan Luo and Daniel F Freitag and James Benoit and Michael C Hughes and Faisal Khan and Paul Slater and Khader Shameer and Matthew Roe and Emmette Hutchison and Scott H Kollins and Uli Broedl and Zhaoling Meng and Jennifer L Wong and Lesley Curtis and Erich Huang and Marzyeh Ghassemi

2021

Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations

Laleh Seyyed-Kalantari and Haoran Zhang and Matthew McDermott and Irene Y Chen and Marzyeh Ghassemi

2021

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

Viknesh Sounderajah and Hutan Ashrafian and Sherri Rose and Nigam H Shah and Marzyeh Ghassemi and Robert Golub and Charles E Kahn and Andre Esteva and Alan Karthikesalingam and Bilal Mateen and Dale Webster and Dan Milea and Daniel Ting and Darren Treanor and Dominic Cushnan and Dominic King and Duncan McPherson and Ben Glocker and Felix Greaves and Leanne Harling and Johan Ordish and Jérémie F Cohen and Jon Deeks and Mariska Leeflang and Matthew Diamond and Matthew DF McInnes and Melissa McCradden and Michael D Abràmoff and Pasha Normahani and Sheraz R Markar and Stephanie Chang and Xiaoxuan Liu and Susan Mallett and Shravya Shetty and Alastair Denniston and Gary S Collins and David Moher and Penny Whiting and Patrick M Bossuyt and Ara Darzi

2019

Probabilistic machine learning for healthcare

Irene Y Chen and Shalmali Joshi and Marzyeh Ghassemi and Rajesh Ranganath

2021

Problems in the deployment of machine-learned models in health care

Joseph Paul Cohen and Tianshi Cao and Joseph D Viviano and Chin-Wei Huang and Michael Fralick and Marzyeh Ghassemi and Muhammad Mamdani and Russell Greiner and Yoshua Bengio

2024

A comprehensive EHR timeseries pre-training benchmark

Matthew McDermott and Bret Nestor and Evan Kim and Wancong Zhang and Anna Goldenberg and Peter Szolovits and Marzyeh Ghassemi

2021

Characterizing generalization under out-of-distribution shifts in deep metric learning

Timo Milbich and Karsten Roth and Samarth Sinha and Ludwig Schmidt and Marzyeh Ghassemi and Bjorn Ommer

2021

In medicine, how do we machine learn anything real?

Marzyeh Ghassemi and Elaine Okanyene Nsoesie

2022

Learning Optimal Predictive Checklists

Haoran Zhang and Quaid Morris and Berk Ustun and Marzyeh Ghassemi

2021

Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning

Natalie Dullerud and Karsten Roth and Kimia Hamidieh and Nicolas Papernot and Marzyeh Ghassemi

2019

Outcomes in patients with and without disability admitted to hospital with COVID-19: a retrospective cohort study

Hilary K Brown and Sudipta Saha and Timothy CY Chan and Angela M Cheung and Michael Fralick and Marzyeh Ghassemi and Margaret Herridge and Janice Kwan and Shail Rawal and Laura Rosella and Terence Tang and Adina Weinerman and Yona Lunsky and Fahad Razak and Amol A Verma

2022

Automatic localization and brand detection of cervical spine hardware on radiographs using weakly supervised machine learning

Raman Dutt and Dylan Mendonca and Huai Ming Phen and Samuel Broida and Marzyeh Ghassemi and Judy Gichoya and Imon Banerjee and Tim Yoon and Hari Trivedi

2022

An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study

Sarah M Goodday and Emma Karlin and Alexandria Alfarano and Alexa Brooks and Carol Chapman and Rachelle Desille and Daniel R Karlin and Hoora Emami and Nancy Fugate Woods and Adrien Boch and Luca Foschini and Mackenzie Wildman and Francesca Cormack and Nick Taptiklis and Abhishek Pratap and Marzyeh Ghassemi and Anna Goldenberg and Sujay Nagaraj and Elaine Walsh and Stephen Friend

2021

Medical Dead-ends and Learning to Identify High-risk States and Treatments

Mehdi Fatemi and Taylor W Killian and Jayakumar Subramanian and Marzyeh Ghassemi

2021

Understanding the Variance Collapse of SVGD in High Dimensions

Jimmy Ba and Murat A Erdogdu and Marzyeh Ghassemi and Shengyang Sun and Taiji Suzuki and Denny Wu and Tianzong Zhang

2021

Dear watch, should I get a COVID test? designing deployable machine learning for wearables

Anna Goldenberg and Bret Nestor and Jaryd Hunter and Raghu Kainkaryam and Erik Drysdale and Jeffrey Inglis and Allison Shapiro and Sujay Nagaraj and Marzyeh Ghassemi and Luca Foschini

2021

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum

SM Goodday and E Karlin and A Brooks and C Chapman and DR Karlin and L Foschini and E Kipping and M Wildman and M Francis and H Greenman and Li Li and E Schadt and M Ghassemi and A Goldenberg and F Cormack and N Taptiklis and C Centen and S Smith and S Friend

2022

Problems associated with the deployment of machine learning-based models in health

Joseph Paul Cohen and Tianshi Cao and Joseph D Viviano and Chin-Wei Huang and Michael Fralick and Marzyeh Ghassemi and Muhammad Mamdani and Russell Greiner and Yoshua Bengio

2021

Implementing machine learning in healthcare

Amol A Verma and Joshua Murray and Russell Greiner and Joseph Paul Cohen and Kaveh G Shojania and Marzyeh Ghassemi and Sharon E Straus and Chloe Pou-Prom and Muhammad Mamdani

2021

Problèmes associés au déploiement des modèles fondés sur l’apprentissage machine en santé

Joseph Paul Cohen and Tianshi Cao and Joseph D Viviano and Chin-Wei Huang and Michael Fralick and Marzyeh Ghassemi and Muhammad Mamdani and Russell Greiner and Yoshua Bengio

2021

Mise en œuvre de l’apprentissage machine en santé

Amol A Verma and Joshua Murray and Russell Greiner and Joseph Paul Cohen and Kaveh G Shojania and Marzyeh Ghassemi and Sharon E Straus and Chloé Pou-Prom and Muhammad Mamdani

2021

Improving Mutual Information Estimation with Annealed and Energy-Based Bounds

Rob Brekelmans and Sicong Huang and Marzyeh Ghassemi and Greg Ver Steeg and Roger Baker Grosse and Alireza Makhzani

2021

Caractéristiques et issues des hospitalisations pour les cas de COVID-19 et d’influenza dans la région de Toronto

Amol A Verma and Tejasvi Hora and Hae Young Jung and Michael Fralick and Sarah L Malecki and Lauren Lapointe-Shaw and Adina Weinerman and Terence Tang and Janice L Kwan and Jessica J Liu and Shail Rawal and Timothy CY Chan and Angela M Cheung and Laura C Rosella and Marzyeh Ghassemi and Margaret Herridge and Muhammad Mamdani and Fahad Razak

2021