Sandeep Konam
About Sandeep Konam
Sandeep Konam is a Co-Founder of Abridge, where he focuses on integrating generative AI with electronic health records to improve medical conversations. He has held various academic and industry roles, including positions at Carnegie Mellon University and Google Summer of Code.
Work at Abridge
Sandeep Konam serves as Co-Founder at Abridge, a role he has held since 2018. At Abridge, he focuses on integrating generative AI with electronic health records (EHRs) to enhance medical conversations. He has been instrumental in developing an application designed to support large health systems, improving the efficiency of medical note-taking. Abridge's solution aims to allow doctors to concentrate more on patient care by streamlining the documentation process.
Education and Expertise
Sandeep Konam earned a Master of Science (MS) in Robotics from Carnegie Mellon University, where he studied from 2015 to 2017. His educational background includes significant research experience, particularly in robotics and adaptive systems. This foundation has contributed to his expertise in integrating technology with healthcare solutions.
Background in Academia
Sandeep Konam has held various academic positions. He worked as a Research Assistant at Carnegie Mellon University in the CORAL Robot Lab from 2015 to 2017 and in the Robust Adaptive Systems Lab for two months in 2015. He served as a Guest Lecturer at Carnegie Mellon University for one month in 2020 and at Stanford University for one month in 2021. Additionally, he was a Guest Lecturer at the University of Pittsburgh from 2020 to 2022.
Professional Experience
Before co-founding Abridge, Sandeep Konam worked as a Senior Product Manager at UPMC Enterprises from 2017 to 2018. He also contributed to Google Summer of Code as a GSoC Contributor in 2015. His diverse professional experience spans academia and industry, providing him with a unique perspective on technology and healthcare.
Research Contributions
Sandeep Konam's research contributions include an undergraduate thesis at the Schepens Eye Research Institute, Harvard Medical School, from 2014 to 2015. His work in various research labs at Carnegie Mellon University has focused on robotics and adaptive systems, contributing to advancements in these fields.