In our lab, we aim to develop and apply statistical and network-based tools and bioinformatic approaches to advance genomic medicine. Our broad interests include integrative omics, complex disease subtyping, and in silico drug discovery. Our research projects typically harness multi-omic data to identify the (i) molecular markers of disease heterogeneity, (ii) drivers of disease progression, and (iii) therapeutic targets and drug repurposing candidates for complex chronic diseases such as asthma and chronic obstructive pulmonary disease (COPD). We are a part of the Channing Division of Network Medicine, a highly interdisciplinary and collaborative research division that is home to multiple epidemiological cohorts with diligently collected phenotypic and genomic data.

October 2024 Takumi Abekawa has joined our group as a Research Trainee. Mr. Abekawa is a PhD student in Dr. Shinya Kuroda’s lab at the University of Tokyo. Welcome to the lab, Takumi!

August 2024 Dr. Samuel Boyd has joined our group as a Postdoctoral Fellow. Dr. Boyd received his M.S. and Ph.D. in Biostatistics from the University of Kansas Medical Center. He also holds a B.S. degree in Mathematics from the University of Kansas. Welcome to the lab, Sam!

May 2024 Arda will be leading a tutorial session at the Great Lakes Bioinformatics Conference (GLBIO 2024) in Pittsburgh, PA, about building customized workflows for the interactive visualization of large-scale biological networks. Find out more at the GLBIO 2024 website.

January 2024 Arda will be giving a talk at the NetSciX 2024 conference. Find out about the program at the NetSciX 2024 website.

December 2023 We are seeking a Postdoctoral Fellow to work on the NIH-sponsored research project below! Look for details in the Positions page.

November 2023 We have been awarded an R01 research grant by the National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), to study the multi-omic modulators of the potential preventive effect of maternal vitamin D intake on childhood asthma using statistical and network-based integrative omic methods.

November 2023 Our new method, MuXTalk, which infers signaling crosstalk by integrating signaling and regulatory interactions in a multilayer network, is published in Nucleic Acids Research.

May 2023 Ian graduated from HSPH with an SM degree in Health Data Sciences. Congratulations Ian!

May 2023 Arda will be presenting a poster about multi-omic factor analysis and COPD at the American Thoracic Society (ATS) 2023 International Conference in Washington DC.

January 2023 Leonardo successfully defended his PhD dissertation at the Sapienza University of Rome. Congratulations Leo!