Eimear is currently Assistant Professor of Genetics and Genome Science, and a member of the Charles Bronfman Institute for Personalized Medicine, the Institute of Genomics and Multiscale Biology and the Center for Statistical Genetics, at the Icahn School of Medicine at Mount Sinai. The goal of her research is to realize the full potential of genomics to infer human history and evolution and to inform better models for clinical medicine (published in leading research journals including Nature, Science, Cell, Nature Genetics, PNAS and PLoS Genetics). Her recent work (with co-authors) describing a novel variant that causes blond hair in the Solomon Islands, Melanesia, (and published in Science journal) was featured in the New York Times and the Smithsonian NHGRI Human Genome exhibit. She currently co-leads both the Analysis Center for Multi- and Trans-ethnic mapping of Common and Mendelian Disease in the NHGRI flagship Genome Sequencing Program, and one of the primary sites for the NHLBI Trans-Omics for Precision Medicine Program. She is a scientific advisor to multiple genomic medicine initiatives in non-profit and industry arenas. She recieved a BSc in Biochemistry in Trinity College Dublin, Ireland, and a PhD in Statistical Genetics at Rockefeller University, NY.
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Gillian is interested in the link between human evolution and history and how that impacts global health and diversity today. She is currenty working on developing methods to detect hidden patterns demography in large urban populations to improve outcomes in genomic medicine. She has applied these methods in a cohort of over 30,000 New Yorkers participating in the BioMe Biobank at the Icahn School of Medicine at Mount Sinai, leading to insights on the population history of communities in New York and the discovery of a genetic variant underlying extreme short stature. She completed her undergraduate at the University of Glasgow in Scotland, where she obtained an M.Sci in Genetics along with various research experience in Molecular Biology. She has a PhD in Biomedical Sciences at the Icahn School of Medicine at Mount Sinai, NY
Sumita is a Research Associate in the Kenny lab who has previously worked as a Technician in Albert Einstein College of Medicine's Department of Hematology. She also has experience working in the Therapeutic proteins Unit at Reliance Life Sciences in India. She is currently working on several medical genomics projects in the lab. Sumita received her BSc in Biotechnology and Master of Research (MRes) in Molecular and Cellular Biology from Imperial College London.
Jackie is a Genetic Counselor and a recent graduate of the Genetic Counseling Program at Mount Sinai. Born and raised in New York, she attended the State University of New York at Binghamton from which she earned her Bachelor of Science degree in Cell and Molecular Biological Sciences. She then joined the National Human Genome Research Institute (NHGRI)/NIH as a scientific program analyst, supporting activities of large-scale genetic and genomics research networks. Her research interests include translation of exome and whole-genome sequencing into clinical practice and demonstration of the clinical utility of web-based genetics and genomics educational tools for patients, providers, and the public.
Hannah is a second year graduate student in the Biomedical Informatics Masters program. She is currently interested in large scale genomics and population genetics. She is currently working on developing a software that will be used to study identity by descent. She is also studying height variation in Latin American populations. Hannah has a BA in Genetics with a minor in Evolutionary Anthropology from Rutgers University.
Stephane is interested in the use of machine learning, algorithmics, and software engineering methods in genomics. His research projects have led him to work with exome and transcriptome (RNA) sequencing data, as well as aCGH. He obtained a masters in Biomedical Engineering from the University of Liège in Belgium. During his Ph.D. thesis, also obtained at the University of Liège, he's had the opportunity to work on projects related to the clinical (non-invasive diagnosis), technical (CNV detection), and molecular (non-coding RNAs) aspects of human cancer. His previous endeavors have led him to work both in a research and a clinical setting, often building bridges between both.
Muh-ching (M.C.) has worked as a laboratory manager at Stanford University in the departments of Genetics, Chemical and Systems Biology, Biology and, most recently, the Carnegie Institution for Science. M.C. has leveraged a lifetime of solving the New York Times crossword to her current work playing with the genetic code in genomics and synthetic biology in human, animal and plant systems. She is devising novel methods for targeted resequencing. M.C. received an SB in Chemistry from MIT, and a PhD in Chemistry at UC Berkeley, CA.
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Noura is an assistant professor of genetic and genomic sciences, and faculty member of the Charles Bronfman Institute of Personalized Medicine. She has a translational research focus aiming to improve the diagnosis and treatment of genetic disorders using a combination of electronic medical record data and genomic tools. She is involved in the IGNITE (Implementing GeNomics In pracTicE) Network’s GUARDD (Genetic testing to Understand and Address Renal Disease Disparities) study, which integrates APOL1 genetic testing for kidney disease risk into primary care, and the IPM PGx program, which aims to develop clinical decision support (CDS) and best practices for genome-guided prescribing. She is also a member of the Mount Sinai Genetic Testing Laboratory’s committee that reviews gene mutations discovered in clinical and research projects from next generation sequencing, and has a clinical genetic practice. She collaborates with the Kenny lab on several projects, including the genetics of short stature, the design of the Illumina Mutli-Ethnic Genotype Array and other clinically relevant projects. She completed an M.D./Ph.D. and combined Internal Medicine and Medical Genetics residency program at the the Icahn School of Medicine at Mount Sinai.
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Matt is an assistant professor of anesthesiology and a formally trained computer scientist and cardiac anesthesiologist who has an interest in leveraging large data sets of physiological, clinical, and administrative data to reduce morbidity and mortality and enhance patient safety during the perioperative period. Over the past several years he has designed and implemented a large perioperative data warehouse containing detailed pre-, post-, and intra-operative information, including high resolution physiological data captured from intraoperative monitoring devices, for over 500,000 surgical cases. This dataset continues to grow at a rate of 50,000 cases per year as new case data is automatically added on a real time basis. He collaborates with the Kenny lab on projects to apply genomic approaches in perioperative and acute care settings for genetic discover, improved safty during surgery and for better patient outcomes.
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Carlos is a Professor in the Department of Genetics at Stanford Univerisity, a leading population genetics expert and Eimear's former post-doctoral advisor. They continue to collaborate closely together on several projects to develop statistical, computational and genomic resources for enableing trans- and multi-ethnic studies of complex disease. They are funded co-investigators in a number of NIH large-scale genomics networks, eg PAGE Study.
Chris is currently a post-doc in the Bustamante Lab, and a close collaborator in the Kenny lab. He uses a combination of methods from evolutionary genetics and epidemiology to uncover novel ancestry signals in genetic data and better empower association studies. In the Bustamante Lab, he is continuing his research on broad and fine-scale patterns of ancestry, and he is developing better association study methods that incorporate these important aspects of genetic information. He works with large genetic consortia to develop novel genotyping arrays and interpret findings across different ethnic groups. He is also continuing fieldwork and his interest in mapping traits both in American and Southern African populations.
Gen is a genetic epidemiologist interested in human-pathogen co-evolution, and is a post-doc in the Bustemante lab. She focuses on genetic epidemiology across diverse populations as part of a large genetics consortium while continuing to examine the consequences of selective pressures that pathogens exert upon human populations.
Jennifer Blanc, (summer 2017), currently rising senior in UC Davis, California
Amanda Dobbyn, PhD, (worked jointly 2015-2017), current post-doc Do and Stahl labs, Mount Sinai
Charudatta Navare, MSc, (Spring 2014)
Danny Park, MSc, Phd, (spent summer 2015 in the lab for collaboration), current graduate student in the Zaitlen lab, UCSF
Yekaterina Vaydylevich, BA (rotated fall 2015), current graduate student in Jab lab, Mount Sinai