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Congratulations to Haiyi for his first author paper (ML4H 2022 Symposium)

Congratulations to Haiyi Mao for the acceptance of his first author paper to the proceedings track of the Machine Learning for Health (ML4H) 2022 Symposium.  The paper is entitled “Towards Cross-Modal Causal Structure and Representation Learning”. This paper introduces a new method to perform causal discovery between structured data (e.g., clinical…

Congratulations Marissa, Haiyi and Mark for your thesis proposals

Marissa, Haiyi, and Mark successfully defended their thesis proposals this month.  The theses are about developing methods for identifying clinical and genetic factors in disease (Marissa), developing methods for multi-modal causal representation learning (Haiyi), and using ML methods in regulatory genomics (Mark).  Congratulations Marissa, Haiyi, and Mark!…

Congratulations to Minxue, Daniel and Tyler for their Frontiers paper

A collaborative paper of three members of the Benos Lab was accepted for publication by the journal Frontiers in Epidemiology. The paper is entitled “Causal Discovery in High-dimensional, Multicollinear Datasets”.  As the title says, this paper addresses two important problems of causal discovery. Different methods for dimensionality reduction are compared on simulated…

Benos Lab receives NIH funding to study post liver transplant fibrosis

The Benos Lab received an R01 grant from NIDDK-NIH to study the molecular mechanisms that lead some people to develop liver fibrosis after transplant. Part of the grant is to build efficient predictors of fibrosis from blood samples. This new R01 is a collaboration with Gavin Arteel (leading PI;…

Congratulations to Wenjie for Abstract selection for oral presentation at 2022 ISS

The Abstract that Wenjie had submitted to the 15th International Symposium on Sjögren’s Syndrome (2022 ISS) has been selected for an oral presentation.  The title of the abstract is “The University of Florida Cohort with Childhood Sjögren’s Disease Classified by the Latent Class Analysis“. Congratulations Wenjie!…

Congratulations to Haiyi and Minxue for their ICML 2022 paper

The paper of Haiyi and Minxue entitled “COEM: Cross-Modal Embedding for MetaCell Identification” was selected for a spotlight talk at the Computational Biology Workshop in the 39th International Conference on Machine Learning (ICML 2022) to be held in Baltimore, MD in July 22, 2022. Congratulations…

Takis gives a seminar at the University of Virginia

Takis gave an invited talk and met with colleagues at the Department of Biomedical Engineering at the University of Virginia, Charlottesville. The title of the talk was “Multi-scale Data Integration and Causal Inference for Medical Research”.   …

Tyler publishes a first author paper in Patterns

Congratulations to Tyler for the acceptance by Patterns of the paper “Essential Regression – a generalizable framework for inferring causal latent factors from multi-omic datasets“, which he is first co-author. The paper describes a new method to develop predictive causal models in high-dimensional, highly collinear data. A pre-print of this paper…

Congratulations to Tyler for his F31 NIH fellowship

Tyler Lovelace, a CPCB PhD student in our group, was awarded an NIH F31 Predoctoral Fellowship from the National Library of Medicine (NLM). The F31 award is entitled “Causal graphical methods for high-dimensional heterogeneous biomedical data“.  We are very proud of Tyler who got this highly…