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About me
Hello, world! I am Ishan Khurjekar.
I am a data scientist in the Department of Surgery at the Baylor College of Medicine (BCM), located in the (huge) Texas Medical Center area in Houston, TX. I am a part of the AI/ML initiative at BCM. I develop end-to-end data science solutions for improving healthcare outcomes across a variety of clinical setups.
Before moving to BCM, I completed postdoctoral stints at the Johns Hopkins University and the University of California, San Diego. During my postdoctoral years, I developed ML systems for different scientific and engineering domains. I earned my PhD from the University of Florida, where I worked on uncertainty-aware machine learning for structural health monitoring (PhD advisor - Joel Harley).
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My research goal is to enhance the reliability and utility of machine learning methods for sensing applications with a focus on uncertainty quantification. I am always open to new collaborations and am generally excited to talk about research! Feel free to reach out.
Over the years, I have pursued research directions with 1 aspect in common: sensing.
Sensing methods are the mainstay of scientific and engineering innovation used for locating submarines in the sea or damages in structures or even imaging objects which are invisible to the eye. I enjoy researching and developing methods that enhance the utility of machine learning in various sensing-based applications. My past + current work has focused on:
Uncertainty quantification: Assess the reliability of ML methods in the presence of external uncertainty sources.
Uncertainty management: Develop ML methods that are robust to external variations present during data collection.
Utility enhancement: Obtain interpretable insights from ML models trained on sensing data to elucidate the underlying complex physical processes.
News ...
[July'25] Joined Baylor College of Medicine as a Data Scientist (based out of Houston, TX). Excited to be working on developing AI/ML systems for healthcare applications!
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