About

Suneeta Modekurty is a bioinformatics researcher and data scientist.

She is a colorectal cancer survivor, and she wanted to know whether what she had learned in her work could help her with what she was living through. That is how DeLARSify began, as a personal project.

It was built to answer three questions that colorectal cancer survivors, their clinicians, and the researchers who study them all ask:

• What is LARS, and what should a survivor expect as bowel function changes?
• How is it managed day to day?
• Before surgery, how likely is LARS, how severe will it be, and how long might it last?

DeLARSify answers them from multimodal data, across three connected parts: an assistant survivors can ask, a day-to-day manager, and a predictor clinicians use before surgery.

Then a question stopped her. If DeLARSify told a survivor something and that person acted on it, who would be responsible? Was there a way to measure what it was doing? Could the people building it see the process and the progress rather than only the output? She could not answer any of the three, so she paused DeLARSify until she could.

That question became METRIS. She expected it to be a problem about one application. It is not. An organization running AI faces the same three questions across many systems and many people, and it is the same multimodal problem at a larger scale.

Today we build METRIS and work with organizations on the measurement itself. Suneeta has delivered talks, sessions and live trainings to more than 150 attendees, including CXOs.