Cutting-Edge Techniques and Models: Applications in Hearing Research | Machine Learning Toolboxes for Hearing Research

Join ARO and the Education Committee for a anothe session of “Cutting-Edge Techniques and Models: Applications in Hearing Research.” The goal of this initiative is to educate and assist emerging researchers in understanding the fundamentals of the latest research techniques, enabling them to incorporate these methods into their projects and enhance their scientific endeavors. Additionally, this program will be valuable for researchers who are already utilizing these techniques but may have troubleshooting questions.

We are excited to invite you to the second session:

Title: Machine Learning Toolboxes for Hearing Research

Mentor Panelists: Dr. Uri Manor and Dr. Artur Indzhykulian

Moderators: Afagh Farhadi and Tong Shan

Date: Thursday, July 10, 2025

Time: 12:00 - 1:00 PM ET

About the Session:

Join us for the second session of the Cutting-Edge Techniques & Models panel discussion: Machine Learning Toolboxes for Hearing Research, featuring Dr. Uri Manor (UC San Diego) and Dr. Artur Indzhykulian (Harvard Medical School). This session will explore powerful open-source Machine Learning (ML) tools transforming hearing science—from deep-learning-based analysis tools to advanced image segmentation plugins for cochlear hair cells. Our speakers will share how these toolboxes accelerate data analysis, enhance experimental precision, and support translational breakthroughs in hearing diagnostics and therapies. This will be an interactive discussion—ideal for trainees and researchers looking to integrate ML toolbox workflows into their labs.

https://us02web.zoom.us/meeting/register/q6L0hn-dT6S2nvtkurwsaQ