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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
Cardiovascular Disease Risk And Birth Month? Discovering and Replicating Novel Birth Month Associations [P3]

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An individual’s birth month has a significant impact on their lifetime disease risk. Previous studies reveal relationships between birth month and several diseases including asthma, attention deficit hyperactivity disorder, and myopia, leaving most diseases completely unexplored. We developed a hypothesis-free method called SeaWAS (Season-Wide Association Study) that systematically investigates disease-birth month patterns across all conditions. Our algorithm was first applied at Columbia University Medical Center on a dataset containing 1,749,400. We found that 9 cardiovascular conditions were significantly associated with birth month (Jan-Apr), which had never been reported previously. External validation of these findings was performed at Mount Sinai Hospital (MSH, N=1,169,599) also located in New York City (same climate). Seven of the nine conditions revealed at CUMC had significantly correlated birth month – disease risk patterns at MSH. We also explore relationships between biological mechanisms underlying these novel relationships including maternal flu infection and serum vitamin D levels.

Demo/Poster Presenter
avatar for Mary Regina Boland

Mary Regina Boland

PhD Candidate in Biomedical Informatics, College of Physicians and Surgeons
As a PhD student in the laboratory of Dr. Nicholas Tatonetti, Boland aims to explore and understand the systems-level genetic interactions that occur in patients taking multiple drugs targeting diverse genes and gene pathways. In particular, her focus is to develop methods for understanding the systems-level genetic interactions responsible for adverse drug events. As a translational bioinformatician, she is also interested in developing... Read More →

Demo/Poster Collaborator
avatar for Joel Dudley

Joel Dudley

Assistant Professor of Genetics and Genomic Sciences; Director of Biomedical Informatics, Icahn School of Medicine at Mount Sinai
Dr. Dudley is currently Assistant Professor of Genetics and Genomic Sciences and Director of Biomedical Informatics at the Icahn School of Medicine at Mount Sinai. He also directs the newly formed Harris Center for Precision Wellness at Mount Sinai. Prior to Mount Sinai, he held positions as Co-founder and Director of Informatics at NuMedii, Inc. and Consulting Professor of Systems Medicine in the Department of Pediatrics at... Read More →
avatar for Li Li

Li Li

Assistant Professor, Columbia University
Li is an Assistant Professor with over 10 years experience in clinical research and translational bioinformatics involving genetic and clinical risk factor identification, diagnostic assay development, and new therapeutic targets discovery. Her expertise is in translational research by integrating high-throughput genomics, genetics, various molecular measurements, and electronic medical records data with over 50 peer-reviewed publications... Read More →
avatar for Riccardo Miotto

Riccardo Miotto

Data Scientist, Icahn School of Medicine at Mount Sinai
Riccardo's research interests encompass the design of algorithms for information retrieval, machine learning, and data mining applied to real-world data collections.He is currently focusing on machine learning applied to clinical data for personalized medicine. His previous work concerned (1) clinical trial search engines through free-text eligibility criteria processing, and (2) music information retrieval, in particular... Read More →
avatar for Nicholas Tatonetti

Nicholas Tatonetti

Assistant Professor, Biomedical Informatics
Assistant Professor of Biomedical Informatics Department of Biomedical Informatics, | Columbia Initiative for Systems Biology, & Department of Medicine at Columbia University | Research Specialty: Translational bioinformatics, machine learning, observational data mining, combinatorial drug design, emergent biology, genetic networks and network analysis, clinical data analysis


Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040