Sotabase

Career

· Postdoctoral Researcher, Stanford Doerr School of Sustainability2024–
· Stanford Ignite, Certificate Program in Innovation and Entrepreneurship 2024, Stanford University Graduate School of Business2024–2024
· Graduate Research Assistant, Stanford University2017–2023
· Ph.D. candidate, Earth and Planetary Sciences, Stanford University2017–2023
· Master's degree, Subsurface Geology, 3.86/4.0, Rice University2015–2016
· Summer Internship, ONGC2012–2012
· Summer Internship, National Institute of Oceanography2011–2011
· Integrated M. Tech, Geological Technology, First Division, Indian Institute of Technology, Roorkee2009–2014

Publications (39)

ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation
Circulation · 2021
203
cited
Deep Learning-Enabled Assessment of Left Heart Structure and Function Predicts Cardiovascular Outcomes.
Journal of the American College of Cardiology · 2023
46
cited
Cohort design and natural language processing to reduce bias in electronic health records research
npj Digital Medicine · 2022
43
cited
Artificial intelligence-enabled classification of hypertrophic heart diseases using electrocardiograms.
Cardiovascular Digital Health Journal · 2023
30
cited
Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project
medRxiv · 2021
23
cited
Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial: A Secondary Analysis of a Randomized Clinical Trial.
JAMA cardiology · 2023
23
cited
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
Annual Meeting of the Cognitive Science Society · 2020
21
cited
Noninvasive assessment of organ-specific and shared pathways in multi-organ fibrosis using T1 mapping
Nature Medicine · 2024
19
cited
Natural Language Processing for Adjudication of Heart Failure in the Electronic Health Record.
JACC. Heart failure · 2023
16
cited
Alternative Treatment Strategies for Secondary Bacterial and Fungal Infections Associated with COVID-19
Infectious Disease and Therapy · 2021
12
cited
Unsupervised deep learning of electrocardiograms enables scalable human disease profiling
npj Digital Medicine · 2025
12
cited
One Clinician Is All You Need–Cardiac Magnetic Resonance Imaging Measurement Extraction: Deep Learning Algorithm Development
JMIR Medical Informatics · 2022
10
cited
A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram
npj Digital Medicine · 2025
9
cited
Frequency of Electrocardiogram-Defined Cardiac Conduction Disorders in a Multi-Institutional Primary Care Cohort
JACC: Advances · 2024
9
cited
Deep learned representations of the resting 12-lead electrocardiogram to predict V̇O2 at peak exercise.
European Journal of Preventive Cardiology · 2023
8
cited
Deep learning on resting electrocardiogram to identify impaired heart rate recovery
Cardiovascular Digital Health Journal · 2022
8
cited
Natural Language Processing for Adjudication of Heart Failure Hospitalizations in a Multi-Center Clinical Trial
medRxiv · 2023
4
cited
Natural Language Processing to Adjudicate Heart Failure Hospitalizations in Global Clinical Trials
Circulation: Heart Failure · 2024
4
cited
Exploring the link between Gilbert’s syndrome and atherosclerotic cardiovascular disease: insights from a subpopulation-based analysis of over one million individuals
European Heart Journal Open · 2023
3
cited
Suicide Trend Analysis and Prediction in India using Facebook Prophet
International Conference on Computing for Sustainable Global Development · 2021
3
cited
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Pulkit Singh | Researcher Profile | Sotabase | Sotabase