Robotics in Healthcare: A Conversation with Ayushi Sinha, PhD (Engineering ’18)

March 11, 2022 @ 12:00 pm – 1:00 pm
Jamie Seward
1-800-JHU-JHU1 (548-5481)


Sponsored by the Hopkins Robotics Alumni Network, the Laboratory for Computational Sensing + Robotics, and the Healthcare Affinity

Join us as we hear from Dr. Ayushi Sinha, Senior Scientist in the Precision Diagnosis & Image Guided Therapy department at Philips Research North America. Dr. Sinha will discuss her time at Hopkins, her career journey, and her current role. We’ll have time for Q&A with our speaker and time to network with one another. This program will be presented by Zoom. A link will be shared with you in advance.

Disclaimer: The perspectives and opinions expressed by the speaker(s) during this program are those of the speaker(s) and not, necessarily, those of Johns Hopkins University and the scheduling of any speaker at an alumni event or program does not constitute the University’s endorsement of the speaker’s perspectives and opinions.

Ayushi Sinha
Senior Scientist, Phillips

Ayushi Sinha is a Senior Scientist in the Precision Diagnosis & Image Guided Therapy department at Philips Research North America. She currently leads a project focused on using machine learning to improve workflow during X-ray guided minimally invasive procedures and has worked on improving guidance during biopsy procedures in her previous roles at Philips. She also leads a group focused on generating intellectual property around machine learning solutions for X-ray guided interventions.

Ayushi completed her Ph.D. at Johns Hopkins University with Russ Taylor and Greg Hager in the Department of Computer Science with a focus on using statistical shape models to improve guidance during endoscopic sinus procedures. She continued at Hopkins as a postdoctoral fellow and research faculty to explore unsupervised learning in image-based tool tracking. Before her Ph.D., Ayushi received a Master of Science in Engineering degree in Computer Science at Hopkins working with Misha Kazhdan, and a Bachelor of Science degree in Computer Science and a Bachelor of Arts degree in Mathematics at Providence College.


Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

3400 North Charles Street, Baltimore, MD 21218-2608

Laboratory for Computational Sensing + Robotics