- Review stage đ§
- Review deadline: June 9th, 2023 (11:59 PM Pacific Time)
- Workshop time: Saturday, July 29th, 2023
- Location:Hawaii Convention Center, Honolulu, Hawai'i, USA
Each year, machine learning (ML) advances are successfully translated to develop systems we now use regularly, such as speech recognition platforms or translation software. The COVID-19 pandemic has highlighted the urgency for translating these advances to the domain of biomedicine. Biological data has unique properties (high dimensionality, degree of noise and variability), and therefore poses new challenges and opportunities for methods development. To facilitate progress toward long-term therapeutic strategies or basic biological discovery, it is critical to bring together practitioners at the intersection of computation, ML, and biology. The ICML Workshop on Computational Biology (WCB) will highlight how ML approaches can be tailored to making both translational and basic scientific discoveries with biological data, such as genetic sequences, cellular features or protein structures and imaging datasets, among others. This workshop thus aims to bring together interdisciplinary ML researchers working in areas such as computational genomics; neuroscience; metabolomics; proteomics; bioinformatics; cheminformatics; pathology; radiology; evolutionary biology; population genomics; phenomics; ecology, cancer biology; causality; representation learning and disentanglement to present recent advances and open questions to the machine learning community. We especially encourage interdisciplinary submissions that might not neatly fit into one of these categories.
Deadline for paper submissions: May 17th 19th 2023 (11:59 PM Pacific Time)
Reviewer deadline: June 9th 2023
Notification of acceptance: June 19th, 2023
Camera-ready deadline: July 21th, 2023
Workshop date: July 28th/29th, 2023
We invite extended abstracts dealing with novel algorithms and computational approaches that are robust,
scalable to high-dimensional data, and provide interpretable models of biological systems. These can be applications of ML methods or
bioinformatics approaches to biological and biomedical data or novel approaches that enable new analyses. Papers will be presented in poster
format and some will be selected for oral presentation (contributed and spotlight talks).
Through invited talks and presentations by the participants, this workshop will bring together current advances in Computational Biology and set
the stage for continuing interdisciplinary research discussions.
Submission
All novel Computational Biology approaches are of interest to the workshop.
In addition to the main track, we will hold a special track on âExplainability in Biological dataâ which will feature submissions focused on interpretable ML approaches and their applications for biological data. This will include inherently explainable and interpretable ML approaches, post-hoc interpretations of existing models, ways to evaluate the quality of explanations, limitations and failure modes of existing methods, and visualization strategies for analyzing models.
We welcome original abstracts on preliminary ideas and findings in the following format:
*Listed alphabetically
Professor
Paul G. Allen School of Computer Science
University of Washington, Seattle
Assistant Professor
Department of Biology & Biomedical Engineering
California Institute of Technology
Chancellor's Distinguished Professor
Department of Statistics & EECS
UC Berkeley
ICML Workshop on Computational Biology aims to foster an inclusive and welcoming community.
If you have any questions, comments, or concerns, please reach out to workshopcompbio@gmail.com.
Dana Peâer (mskcc.org/research/ski/labs/dana-pe-er)
Yubin Xie: yux2009@med.cornell.edu
We are also featuring other workshops that you might find helpful for diversity and inclusion.
Queer in AI
Steering committee
Debora Marks (https://www.deboramarkslab.com/)
Alexander Anderson (labpages.moffitt.org/andersona/)
Elham Azizi (https://www.azizilab.com/ )
Sandhya Prabhakaran (sandhyaprabhakaran.com)
Abdoulaye Baniré Diallo (labo.bioinfo.uqam.ca )
Wesley Tansey (http://wesleytansey.com)
Bianca Dumitrascu (https://computational-morphogenomics-group.github.io)
Maria Brbic (https://brbiclab.epfl.ch/)
Organizing committee
Cassandra Burdziak: burdziac@mskcc.org
Mafalda Dias: mafalda.dias@crg.eu
Cameron Park: cyp2111@columbia.edu
Pascal Notin: pascal.notin@cs.ox.ac.uk
Joy Fan: lf2684@columbia.edu
Ruben Weizman: rubenweitzman@gmail.com
Lingting Shi: ls3456@columbia.edu
Siyu He: sh3846@columbia.edu
Yinuo Jin: yj2589@columbia.edu
Previous workshops