The 3rd Workshop on

Imageomics: Discovering Biological Knowledge from Images Using AI

NeurIPS 2025 · Dec 6th · Upper Level Room 32AB · San Diego, USA

Introduction

Imageomics is an emerging interdisciplinary field at the crossroads of machine learning (ML), computer vision (CV), and biological sciences. It leverages visual data—from microscopic images of single-cell species to videos of megafauna—to extract and analyze biological information, specifically traits. By grounding ML models in existing scientific knowledge, Imageomics aims to make traits computable from images, facilitating insights into the evolution and function of living organisms. Imageomics poses research problems that resonate with the broad machine-learning community: multimodal representation learning, object detection and tracking, few-shot learning, imbalanced-class learning, video understanding, 3D modeling, hierarchical learning, etc. When people leverage ML tools to solve biological questions, the foundational bridges between ML and biological sciences also provide opportunities to address key challenges in ML, creating a virtuous cycle between the two fields.

We welcome participation from anyone interested in learning about the field of Imageomics, including:


The workshop will feature keynote talks, paper presentations, and discussions on the latest research in Imageomics. We encourage participants to submit papers and demos related to the topics outlined in the Call For Papers. The workshop will also provide opportunities for networking and collaboration among researchers from diverse backgrounds.

Previous editions of our workshop: AAAI 2025 · AAAI 2024

Keynote Speakers (Alphabetical Order)

Oisin Mac Aodha

Oisin Mac Aodha

University of Edinburgh

Silvia Zuffi

Silvia Zuffi

IMATI-CNR

Organizers

Zheda Mai

Zheda Mai

OSU

Kaiya Provost

Kaiya Provost

Adelphi University

Ben Weinstein

Ben Weinstein

University of Florida

Lily Weng

Lily Weng

UCSD

Subhransu Maji

Subhransu Maji

UMass Amherst

Anuj Karpatne

Anuj Karpatne

Virginia Tech

Advising Team

Yu Su

Yu Su

OSU

Tilo Burghardt

Tilo Burghardt

University of Bristol

Area Chair

Arpita Chowdhury, The Ohio State University.

Zanming Huang, The Ohio State University.

Kazi Sajeed Mehrab, Virginia Tech.

Reviewers

Name Name Name Name Name
Radosław Kuczbański Paimon Goulart Venkatesh Velugubantla Juan Jose Garcia Sanjeda Sara Jennifer
Yuetong Yu Peilin Yang Sooyoung Jeon Kuan Lu S M Rayeed
Botao Deng Arpita Chowdhury Zakk Heile Arman Behnam Dong Gyun Kang
Chengxuan Qian Harshita Kukreja Prateek Jalan Yuecheng Li Fengzhi Guo
Haoyun Deng Aujasvit Datta Divij Gupta Rian Atri Siddharth Venkatesh
Chih-Chuan Hsu Subhamoy Mandal Nathaniel Jewel Amit Rand Xiaolong Luo
Jiaman Wu Nurmyrat Amanmadov Khue Hoang-Ngo Yuexing Chen Shiyun Wa
Kaustubha V MSVPJ Sathvik Eduardo Hirata-Miyasaki Duncan Stothers Shalin B. Mehta
Zhuosheng Liu Scott C. Lowe Neil Gautam Mithil Shah Mallikarjuna Tupakula
Gunjana Dhakad Hongkun Zhang Zheda Mai Jingwei Zhang Yuzhou Wang
Namrata Banerji Siddhesh Salfale Nayan Goel Meilong Xu Ruhaib Muhammad
Valentin Duruisseaux Shiqi Li Zhengyuan Dong Kyle Doherty Jae Eun Song
Yongin Kwon Debdoot Sheet Shivam Rajendra Rai Sharma Debanga Raj Neog Anurag Malik
Anirudh Potlapally Shuang Wang David Carlyn Xin Luo Kaveh Safavigerdini
Justin Lee Parkash Singh Nasim Mohamed Ismail Mridul Khurana Pouyan Navard
Sina Khazaee Nejad Mingfei Guo Ziheng Zhang Junhuan Yang Suleiman A. Khan
Quang-Huy Nguyen Jianyang Gu Yingtie Lei Soorya Pradeep Brinnae Bent
John Quinto Aditi Krishnakumar Neehar Kondapaneni Wenjun Liu Chang Liu
Jialin Wu Raghav Sharma Zanming Huang Isaac Xu Ping Zhang
Samuel Stevens

Contact

Email: workshop.imageomics@gmail.com