Haresh Rajamohan
PHD Candidate
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHaresh Rajamohan is a Data Science PhD candidate at NYU Center for Data Science with eight years of experience building data-efficient deep learning systems for clinical prognosis. His research blends multimodal fusion, self-supervision, and large-scale pretraining to forecast disease onset and progression from MRI, radiographs, and EHRs, achieving state-of-the-art TKR prediction AUROCs and clinically consistent monotonic risk constraints. He led development of a health-system-scale foundation model pretrained on longitudinal records from over 2 million patients that enables zero-shot forecasting for dementia and knee osteoarthritis. Prior internships at Amazon and applied research with clinical partners underscore his ability to translate novel pretraining strategies into practical healthcare tools. Trained in mechanical engineering at IIT Madras and with a perfect MS record at NYU, he combines rigorous engineering instincts with scalable ML research applied to scarce medical data.
8 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology MadrasMaster of Science - MS, Data Science, 4.0/4.0, Master of Science - MS, Data Science, 4.0/4.0 at New York UniversityDoctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at NYU Center for Data Science
English, Tamil
Github Skills (6)
medicine5
spring3
deep-learning2
pytorch2
machine-learning1
data-science1
Programming languages (1)
Github contributions (5)
rajamohanharesh/Emotion-Recognition
Dec 2019 - Aug 2020
Contributions:29 commits, 28 pushes, 1 branch in 8 months
denizlab/OAI-MRI-TKR
Aug 2022 - Mar 2025
Contributions:4 pushes in 2 years 7 months
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