Teaching at the 2025 CCEM Summer School
I am deeply honored and grateful to announce my participation as an instructor at the prestigious Canadian Centre for Electron Microscopy (CCEM) Summer School, taking place at McMaster University from June 23-27, 2025. This year's school focuses on Advanced STEM, EELS & Applications, and it's a true privilege to be included among the expert instructors contributing to this intensive program for experienced microscopy users.
As a Materials Data Scientist at the National Renewable Energy Laboratory (NREL), my research sits at the confluence of advanced characterization, data science, and automation, aimed at accelerating the discovery and understanding of functional materials. The opportunity to share this work at the CCEM Summer School is particularly exciting.
During the school, I will be delivering a lecture and leading a hands-on tutorial session focused on Autonomous Electron Microscopy and Computational Microscopy. We will delve into how emerging capabilities in machine learning, automation, and robotics are transforming the field. Key topics will include:
Autonomous Workflows: Exploring the development and implementation of AI-driven workflows for electron microscopy. This includes automating data acquisition, real-time analysis, and decision-making to enhance experimental efficiency and unlock new scientific insights, building on efforts like the AutoEM platform.
Computer Vision for Semantic Segmentation: Discussing advanced computer vision techniques, including deep learning models, for robust semantic segmentation of complex microscopy datasets. We will cover how these methods allow for the automated identification and quantification of features at the nanoscale, moving beyond manual analysis.
AI in In Situ Experimentation: Examining the role of machine learning in managing and interpreting the data streams generated during dynamic in situ microscopy experiments. This includes approaches for event detection, dynamic feature tracking, and forecasting material behavior under real-time stimuli.
This summer school represents a fantastic opportunity to engage with leading researchers and experienced practitioners in the field. I am eager to share my perspectives, contribute to the hands-on training using CCEM's state-of-the-art instrumentation, and learn from the diverse experiences of the attendees.
I look forward to a stimulating week of learning and collaboration in Hamilton, Ontario!
For more information about the CCEM Summer School 2025, please visit: ccem.mcmaster.ca/events/summer-school-2025/