Our Mission

The Machine Learning for Microscopy Hackathon accelerates the use of AI in microscopy and materials research. By connecting microscopy and machine-learning communities, we foster collaboration, open science, and reproducible workflows for imaging, spectroscopy, and automated experimentation.

Hackathon History

The first edition took place at the University of Tennessee, Knoxville, in 2024, with 250+ registrants and 80+ active participants from around the world.

The 2025 edition marked a major milestone, evolving into a massive 3-day multi-site hybrid event. As highlighted in our 2025 Event Summary, it connected over 250 participants across 12+ global sites and generated more than 70 innovative projects, proving the power of real-time collaboration across worldwide research centers.

Now, the upcoming 2026 edition aims to push these boundaries even further, bringing new challenges and expanding our global community of AI/ML and microscopy innovators.

Core Organizing Team

Sergei V. Kalinin
Sergei V. Kalinin
University of Tennessee, Knoxville
Gerd Duscher
Gerd Duscher
University of Tennessee, Knoxville
Rama Vasudevan
Rama Vasudevan
CNMS, Oak Ridge National Laboratory
Yongtao
Yongtao Liu
CNMS, Oak Ridge National Laboratory, TN
Richard Liu
Richard Liu
University of Tennessee, Knoxville
Boris Slautin
Boris Slautin
University of Tennessee, Knoxville
Austin Houston
Austin Houston
University of Tennessee, Knoxville
Utkarsh Pratiush
Utkarsh Pratiush
University of Tennessee, Knoxville
Aditya Raghavan
Aditya Raghavan
University of Tennessee, Knoxville

How It Works

ElementWhat to expect
TeamsInterdisciplinary groups mixing microscopy and ML backgrounds; remote and on-site collaboration.
Data & TasksReal microscopy datasets and challenges spanning imaging, spectroscopy, and automation.
MentorshipGuidance from domain experts and tool builders; cross-site office hours and Slack support.
OutcomesWorking prototypes, analysis notebooks, and open-source contributions that persist post-event.

Partners & Support

The hackathon is supported by the AI Tennessee Initiative and the Center for Advanced Materials & Manufacturing (CAMM), with participation from University of Tennessee Knoxville, North Carolina State University, and Italian Institute of Technology (Genoa, Italy).

Sponsors

Our primary sponsors provide critical support for enabling open, collaborative AI-driven microscopy:

Partners

Our partners empower open science and innovation in AI for materials research:

To be decided

Get Involved

Join the Community
Connect on Slack, meet collaborators, and find a team.
The link to join Slack workspace will be published soon
Participate
Register for the hackathon and choose your preferred site (or Online).
We are building an open, collaborative future for AI-driven microscopy — join us.