Collin Stultz
Nina T. and Robert H. Rubin Professor; Co-Director, Harvard-MIT Program in Health Sciences and Technology (HST); Associate Director, Institute for Medical Engineering and Science (IMES)
Studies computational chemistry, biophysics, and machine learning for cardiovascular risk stratification.
Collin Stultz's lab at MIT works on proteins, drugs & materials and physics, climate & scientific computing. 14 papers since 2023, 4 at top venues, mostly ICML and NeurIPS. 8 PhD students and 1 master's student. 53 alumni. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 29%
- PhD students
- 8
- MS students
- 1
- alumni listed
- 53
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 3 · collecting
- 1 papers2025 · T1 0
- 4 papers2024 · T1 0
- 3 papers2023 · T1 1
T1 venuesOtherVenues: ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials0 papers
- Physics, climate & scientific computing0 papers
- cardiovascular0 papers
- risk0 papers
- chemistry0 papers
Paper list
From the lab homepage.
20266 papers
- ICML (T1)A., Stultz CM. MoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data
- —Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligence. eClinicalMedicine 2026;92: 103783, https://doi.org/10.1016/j.eclinm.2026.103783
- MLHCFrom Forecasting to Features: Zero-Shot Forecasting for Feature Extraction
- ICML (T1)Position: Evaluation of ECG Representations Must Be Fixed
- NeurIPS (T1)Rank-Constrained Adaptation for Reliable Real-World Performance
- European Society of Cardiology, National MeetingStultz, MD, PhD, Hanna K. Gaggin, MD, MPH. Longitudinal changes in amyloid burden as assessed by extracellular volume (ECV) on cardiac magnetic resonance (CMR) for patients with transthyretin amyloidosis with cardiomyopathy (ATTR-CM) on tafamidis and contemporary guideline-directed medical therapy
20251 paper
- Nature Communications Medicine 5, 4 .Artificial Intelligence for Outpatient Hemodynamic Monitoring with a Wearable ECG Monitor
20244 papers
- AHADetection of Non-lateral Acute Myocardial Infarction Using Deep Learning on Lead I ECG Data
- MLHC .Event-Based Contrastive Learning for Medical Time Series
- —Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AI. International Conference on Body Sensor Networks (IEEE BSN) 2024
- NeurIPS WorkshopMEDS-torch: An ML Pipleine for Inductive Experiments for EHR Medical Foundation Models
20233 papers
- Deep Learning for Estimating QT Intervals Using a Single Lead. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’23), to appearAguirre, Stultz Cm
- Nature Scientific ReportsECG-guided Non-invasive Estimation of Pulmonary Congestion in Patients with Heart Failure
- ICML (T1)Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Where alumni went53 listed
Apply to MITFall 2027
MIT EECS Computer Science PhD
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