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members [2017/03/14 19:22]
schun [Lab Members]
members [2018/11/08 12:25] (current)
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 **[[dbalick@research.bwh.harvard.edu|Daniel Balick]]** earned his BSH in physics at Stanford and his PhD in theoretical physics at the University of California, Santa Barbara under the guidance of Boris Shraiman at the KITP.  Dan's work focuses on the mathematical modeling of non-equilibrium phenomena in population genetics and evolutionary dynamics. ​ Specifically,​ he is interested in the interaction between natural selection, stochastic drift, and mutation rate when one or more of these forces is explicitly time dependent. ​ Recent work focuses on inference of recessive selection via population bottlenecks,​ understanding population genetic constraints on the allelic architecture of complex traits, and the dynamics of mutation rate heterogeneity. ​ Resources relevant to Dan's research can be found [[http://​genetics.bwh.harvard.edu/​wiki/​sunyaevlab/​dbalick|here]]. **[[dbalick@research.bwh.harvard.edu|Daniel Balick]]** earned his BSH in physics at Stanford and his PhD in theoretical physics at the University of California, Santa Barbara under the guidance of Boris Shraiman at the KITP.  Dan's work focuses on the mathematical modeling of non-equilibrium phenomena in population genetics and evolutionary dynamics. ​ Specifically,​ he is interested in the interaction between natural selection, stochastic drift, and mutation rate when one or more of these forces is explicitly time dependent. ​ Recent work focuses on inference of recessive selection via population bottlenecks,​ understanding population genetic constraints on the allelic architecture of complex traits, and the dynamics of mutation rate heterogeneity. ​ Resources relevant to Dan's research can be found [[http://​genetics.bwh.harvard.edu/​wiki/​sunyaevlab/​dbalick|here]].
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 +**[[mbouzinier@bwh.harvard.edu|Michael Bouzinier]]** is the Director of Informatics of Brigham Genomic Medicine (BGM) program. In collaboration with the Sunyaev lab he leads development of computational methods for human Mendelian genetics. Michael is an experienced software developer interested in data modeling, genetics and evolution. Michael coordinates development of the WES/WGS computational analysis pipeline for BGM that is optimized for Mendelian disease gene discovery and is in charge of developing new computational methods for variant calling, annotation and interpretation.
  
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 **[[cassa@mit.edu|Christopher Cassa]]** is an Instructor in Medicine at Harvard Medical School, an Associate Geneticist at Brigham and Women'​s Hospital, and a Lecturer at the Massachusetts Institute of Technology. His focus is on the clinical interpretation of whole genome sequence data for Mendelian disorders. Areas of focus include incomplete penetrance, detection of epistatic effects, and methods development for pathogenicity prediction using population data. **[[cassa@mit.edu|Christopher Cassa]]** is an Instructor in Medicine at Harvard Medical School, an Associate Geneticist at Brigham and Women'​s Hospital, and a Lecturer at the Massachusetts Institute of Technology. His focus is on the clinical interpretation of whole genome sequence data for Mendelian disorders. Areas of focus include incomplete penetrance, detection of epistatic effects, and methods development for pathogenicity prediction using population data.
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 **[[sgchun@partners.org|Sung Chun]]** is an Instructor in Medicine at Harvard Medical School and an Associate Geneticist at Brigham and Women'​s Hospital. He received his PhD in Computational and Systems Biology at Washington University in St. Louis under the supervision of Justin Fay. He is interested in statistical genetics of complex disease and evolutionary genetics of adaptation and pleiotropy. His current projects include development of statistical test for shared genetic effect between autoimmune disease GWAS and blood eQTL, genetic risk prediction of myocardial infarction, and genetic analysis of cardiovascular co-morbidity. ​ **[[sgchun@partners.org|Sung Chun]]** is an Instructor in Medicine at Harvard Medical School and an Associate Geneticist at Brigham and Women'​s Hospital. He received his PhD in Computational and Systems Biology at Washington University in St. Louis under the supervision of Justin Fay. He is interested in statistical genetics of complex disease and evolutionary genetics of adaptation and pleiotropy. His current projects include development of statistical test for shared genetic effect between autoimmune disease GWAS and blood eQTL, genetic risk prediction of myocardial infarction, and genetic analysis of cardiovascular co-morbidity. ​
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-**[[mhinely@partners.org|Melissa Hinely]]** is our lab administrator,​ who helps keep things running. 
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-**[[msohail@fas.harvard.edu|Mashaal Sohail]]** is a PhD student in the Harvard Systems Biology program. She is broadly interested in problems in evolutionary genetics, particularly those relating to adaptation and the evolutionary history of man. In the Sunyaev lab, her projects include detecting patterns of epistasis in fitness and other complex traits using next-generation sequencing data, and exploring the link between selection and the expression patterns of genes. ​ 
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 **[[onuralp@broadinstitute.org|Onuralp Söylemez]]** is a postdoctoral research fellow. He obtained his PhD in biomedical sciences at Pompeu Fabra University, Spain. During his PhD, he studied the prevalence and role of allele interactions at the protein level in shaping fitness within natural populations and between species. His current research focuses on applying evolutionary and population genetics tools to gene and pathway discovery via diagnosis of patients with Mendelian disorders of unknown etiology. His primary research interests include the link between Mendelian disorders and multifactorial traits, statistical genetics of rare genetic diseases, and novel regulatory mechanisms of pleiotropy. **[[onuralp@broadinstitute.org|Onuralp Söylemez]]** is a postdoctoral research fellow. He obtained his PhD in biomedical sciences at Pompeu Fabra University, Spain. During his PhD, he studied the prevalence and role of allele interactions at the protein level in shaping fitness within natural populations and between species. His current research focuses on applying evolutionary and population genetics tools to gene and pathway discovery via diagnosis of patients with Mendelian disorders of unknown etiology. His primary research interests include the link between Mendelian disorders and multifactorial traits, statistical genetics of rare genetic diseases, and novel regulatory mechanisms of pleiotropy.
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-**[[dweghorn@research.bwh.harvard.edu|Donate Weghorn]]** is a postdoctoral fellow who obtained her PhD in theoretical physics at the University of Cologne, Germany. Her research focuses on applying population genetics and statistical methods to data sets from systems undergoing molecular evolution. This involves detecting how cancer tumors come into existence and are maintained, despite selective forces working against these processes. Another focus of Donate'​s work is elucidating the evolution of the human gut microbiome. 
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 ===== Former Lab Members ===== ===== Former Lab Members =====
  
 +Donate Weghorn ​ (Postdoctoral fellow)\\
 +Mashaal Sohail ​ (Graduate student)\\ ​
 +Maxim Imakaev ​  ​(Postdoctoral fellow)\\
 Dana Vuzman (Postdoctoral fellow)\\ ​ Dana Vuzman (Postdoctoral fellow)\\ ​
 Daniel Jordan (Graduate student)\\ ​ Daniel Jordan (Graduate student)\\ ​
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 Paz Polak (Postdoctoral fellow)\\ ​ Paz Polak (Postdoctoral fellow)\\ ​
 Nina Stoletzki (Postdoctoral fellow)\\ ​ Nina Stoletzki (Postdoctoral fellow)\\ ​
-Ignaty Leshchiner ​ (Postdoctoral fellow)\\ ​+Ignaty Leshchiner (Postdoctoral fellow)\\
 David Nusinow (Postdoctoral fellow)\\ ​ David Nusinow (Postdoctoral fellow)\\ ​
 Nathan Stitziel (Postdoctoral fellow)\\ ​ Nathan Stitziel (Postdoctoral fellow)\\ ​