Akshay Khunte
Machine Learning Researcher at Cardiovascular Data Science (CarDS) Lab
New York, New York, United States
Summary
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Senior🎓
Top SchoolAkshay Khunte is a Machine Learning Researcher and MD/PhD candidate based in New York with 11 years of experience applying ML to medical imaging and biosignals. He develops noise-robust, wearable-adapted ECG models and contributed to a Nature Medicine Digital Health paper on detecting left ventricular dysfunction from single-lead ECGs. His background spans translational work in cardiovascular data science, MRI spectroscopy for brain tumor mapping, and public health analyses of care disparities, combining strong coding (MATLAB, time-series modeling) with clinical research rigor. A traveler by passion, he brings curiosity-driven experimentation to projects that bridge device-ready algorithms and real-world clinical impact.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Yale UniversityMD/PhD, MD/PhD at NYU Grossman School of MedicineHigh School Diploma, High School Diploma at Xavier High School in Middletown, CT
Marathi, SpanishProgramming languages (1)
Github contributions (5)
aksha1234/akshay-
Sep 2014 - Sep 2021
Contributions:19 commits, 17 pushes in 7 years 1 month
aksha1234/Deep-learning-tutorials
Dec 2021 - Aug 2022
Contributions:13 pushes, 1 branch in 8 months
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