A full list of publications can be found on my Google Scholar profile.

Selected articles are listed below.

1. AI-Enabled Advance Care Planning (ACP)

During my PhD I have been the tech lead of the AI-Enabled ACP project at Stanford. The goal of this initiative is to increase access to palliative care services (Advance Care Planning) for hospitalized patients by efficiently identifying suitable candidates using machine learning. This system has been deployed and operational at the General Medicine service line of Stanford Hospital since more than a year.


This work has received media attention and coverage as well:

2. Predictive Uncertainty Quantification

I have a strong interest in the general area of making high quality probabilistic forecasts using Machine Learning that quantifies uncertainty accurately. Some keywords that make up this theme include: calibration and sharpness, proper scoring rules, survival prediction, natural gradient, information geometry, gradient boosting.

3. Distributed Systems

Previously I was the architect, lead contributor and maintainer of the open source distributed filesystem Gluster. The filesystem is used by several large enterprises in production. My work on this project has resulted in a number of issued patents.