Guest Faculty - DSL - Guo, Zhishuai

We aim to advance multimodal learning within a federated learning framework, where diverse data modalities remain distributed across sites due to privacy constraints. Our focus is on developing methods that can effectively learn from multi-modality data in a privacy-preserving and efficient manner. Through this collaboration, we will investigate the interplay among dataset size, information content, embedding representations, and data fusion strategies. The project will incorporate a broad spectrum of biomedical data types—including histology, DNA sequencing, bulk/single-cell/spatial RNA sequencing, and clinical EHR data—with plans to expand to epigenetic data such as DNA methylation. We will also examine the algorithmic foundations of multimodal learning in biomedical applications, with the goal of understanding when and why multimodal approaches offer advantages over unimodal methods. Position Requirements Job Family Visiting Faculty Appointment Job Profile Guest Faculty Research Participant Worker Type Faculty Time Type Full time As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment. Interested in translating science into innovation? Build your career at Argonne. At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We're finding creative ways to prepare the world for a better future. To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site. To learn more about the exciting science going on at Argonne, visit our Science and Technology page. To request a reasonable accommodation or for other application support, contact us anytime at careers@anl.gov or 630-252-2336.