The lab
Mihaela van der Schaar
Research team
Funding
Clinical partners
Publications
Big ideas
News
Videos
Events
Software
Engagement sessions
Inspiration Exchange
Revolutionizing Healthcare
2021 open house
WeCREATE
Tutorials
AAAI-22: Time series in healthcare
Individualized treatment effect inference
ICML 2021: Synthetic Healthcare Data Generation and Assessment
ICML 2020: Machine Learning for Healthcare: Challenges, Methods, and Frontiers
Research pillars
Automated machine learning
Causal deep learning
Clustering
Individualized treatment effect inference
Interpretable ML
Next-gen clinical trials
Quantitative epistemology
Self-supervised, semi-supervised, and multi-view learning
Survival analysis, competing risks, and comorbidities
Synthetic data
Privacy challenge
Time series
Trustworthy and robust ML (in progress)
Uncertainty quantification
Impact
Our lab’s impact
Alzheimer’s
Cancer
COVID-19
Our projects
Announcements
Policy Impact Predictor
Cystic fibrosis
Early detection and diagnosis
Organ transplantation
Hub for Healthcare
Contact
Ph.D. applications
2022 work placement
Search
LinkedIn
Twitter
YouTube
GitHub
Search
LinkedIn
Twitter
YouTube
GitHub
Tag - AISTATS
AISTATS 2022 keynote
Nick Maxfield
February 10, 2022
Mihaela van der Schaar to give AISTATS 2022 keynote
Nick Maxfield
January 28, 2022
van der Schaar Lab at AISTATS 2021: 4 papers accepted
Nick Maxfield
April 12, 2021
The lab
Mihaela van der Schaar
Research team
Funding
Clinical partners
Publications
Big ideas
News
Videos
Events
Software
Engagement sessions
Inspiration Exchange
Revolutionizing Healthcare
2021 open house
WeCREATE
Tutorials
AAAI-22: Time series in healthcare
Individualized treatment effect inference
ICML 2021: Synthetic Healthcare Data Generation and Assessment
ICML 2020: Machine Learning for Healthcare: Challenges, Methods, and Frontiers
Research pillars
Automated machine learning
Causal deep learning
Clustering
Individualized treatment effect inference
Interpretable ML
Next-gen clinical trials
Quantitative epistemology
Self-supervised, semi-supervised, and multi-view learning
Survival analysis, competing risks, and comorbidities
Synthetic data
Privacy challenge
Time series
Trustworthy and robust ML (in progress)
Uncertainty quantification
Impact
Our lab’s impact
Alzheimer’s
Cancer
COVID-19
Our projects
Announcements
Policy Impact Predictor
Cystic fibrosis
Early detection and diagnosis
Organ transplantation
Hub for Healthcare
Contact
Ph.D. applications
2022 work placement
Nick Maxfield