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Congratulations to Minxue and Tyler for their Abstracts at ATS 2023

One Abstract that Minxue had submitted to the 2023 American Thoracic Society conference (ATS 2023) was selected for a poster discussion session and another for a thematic poster presentation at the following sessions: Poster Discussion Session: A107 – AGING AND LUNG DISEASES COMING TO AGE. Poster title:…

Congratulations to McKayla for her acceptance to MIT

Congratulations to McKayla Ro for her acceptance to MIT at the Computer Science, Economics, and Data Science program. McKayla is a senior student at Buchholz high-school at Gainesville. She started working with our group during the summer under the direct supervision of Robert (Gregg). They investigated healthcare disparities in COPD. …

Congratulations to Kristina for her Respiratory Research first author paper

Congratulations to Dr. Kristina Buschur for the acceptance of her first author Respiratory Research paper, which is entitled “Distinct COPD subtypes in former smokers revealed by gene network perturbation analysis”. In this paper, Kristina used her ssNPA algorithm (Bushur, Chikina, Benos, 2020, Bioinformatics) to identify COPD subtypes from blood gene expression…

Congratulations to Tyler for his Nature Communications paper

Congratulations to Tyler Lovelace for the acceptance of his Nature Communications paper, which is entitled “Lipidomic signatures align with inflammatory patterns and outcomes in critical illness”. This paper addresses the question: why administration of thawed plasma during transport of critically ill patients improves survival? Multiple analytic methods were used, including causal models,…

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…