What is LymeMIND

The Institute for Next Generation Healthcare at the Icahn School of Medicine at Mount Sinai uses its unique vantage at the nexus of clinical medicine, applied –omics, data science, and digital health to illuminate better understanding, prevention, and treatment of complex diseases.

The LymeMind is a project to develop a multiscale integrated network model of Lyme disease  that enables the employment of systems medicine approaches to identify new biomarkers, make novel biological discovery, and create new therapies and treatment approaches.

The Team

Joel Dudley, PhD is the Director of the Institute for Next Generation Healthcare and Associate Professor in Genetics and Genomic Sciences in the Icahn School of Medicine at Mount Sinai. He has been a researcher and leader in genetics and precision medicine at Mount Sinai since 2012 and has more than 10 years of experience as a bioinformatics scientist publishing original research in the areas of drug discovery, personal genomics, biomarker discovery, pharmacogenomics, and genomic medicine.

Brian Kidd, Ph.D is the Director for the Center of Systems Medicine in the Institute for Next Generation Healthcare and Assistant Professor of Genetics and Genomic Sciences.   Dr. Kidd’s current research is focused on developing technologies and computational tools to identify biomarkers and molecular signatures of cancer, allergy, autoimmunity, and other immune-mediated conditions. The driving question is how can we best harness the explosion of computing power, information technologies, and publicly available biomedical data, and then integrate these pieces with clinical information to develop predictive models that can solve key issues for the health of individuals and populations.

Li LI, PhD, Assistant Professor of Genetics and Genomic Sciences, is an expert in translational research by integrating high-throughput genomics, genetics, various molecular measurements, and electronic medical records data

Christine Becker, PhD,  Senior Scientist Genetics and Genomic Sciences, interprets informatics findings to design and execute preclinical validation studies. Her work covers a wide range of disease areas. The ultimate goal is to bring forward these findings from computational analysis towards clinical trial.

Siddhartha Mitra,  Biomedical Software Developer, designing software solutions for analyzing and visualizing large scale genomic data. Such solutions will aid researchers in their quest in finding cures for diseases.

Jacob Hall, Ph.D, Postdoctoral Fellow, working to better understand Lyme Disease by integrating multi-institutional data into models using machine learning.

Francisco Santiago, Project Manager.