Ron Do, Ph.D. [Faculty profile]
Ron is an Assistant Professor in the Charles Bronfman Institute for Personalized Medicine and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai. Ron completed his Ph.D. in Human Genetics at McGill University. He completed postdoctoral training and an instructorship in Human Genetics, Statistical Genetics and Population Genetics at the Center for Human Genetic Research, Massachusetts General Hospital, Harvard Medical School and the Broad Institute.
Ghislain Rocheleau, Ph.D.
Research Assistant Professor
Ghislain is a Research Assistant Professor in the Charles Bronfman Institute for Personalized Medicine and in the Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai. He holds a Ph.D. in Statistics from the University of Montreal. During his postdoctoral training at McGill University, he actively took part in the first genome-wide association study in type 2 diabetes, and later coauthored several papers in genomic endocrinology. From 2011 to 2016, he was a member of the European Genomic Institute for Diabetes and Maître de Conférences at the University of Lille, France. His research interests focus in the development of new statistical analysis methods applied to genomic data, mainly those generated by genetic association studies.
Dan is a Visiting Scientist in the lab. He is a postdoctoral fellow in Dr. Shamil Sunyaev’s lab in the Genetics Division of Brigham & Women’s Hospital and Harvard Medical School. Dan 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.
Daniel is a postdoc in the lab (started Aug. 2015), who is also jointly mentored by Dr. Eric Schadt. Daniel completed his Ph.D. in Biophysics at Harvard University in Dr. Shamil Sunyaev’s lab. His research has focused on predicting the effects of missense variation, mainly as seen through the lens of PolyPhen. His major projects has involved developing a clinically useful predictor for a specific phenotype (hypertrophic cardiomyopathy) using clinical data and biophysical insight, and developing a model of intragenic epistasis and how it affects PolyPhen’s predictions.
Amanda joined the lab as a postdoc in July of 2017. She received a B.A. in biology from Cornell University in 2008, and after working in industry for four years returned to academia, obtaining a Ph.D. in 2017 from the Icahn School of Medicine at Mount Sinai. Her doctoral research in the lab of Dr. Eli Stahl entailed the elucidation of schizophrenia etiology through the fine mapping of GWAS associations. She is interested in characterizing the genetic architectures and molecular mechanisms underlying complex traits through the integration of GWAS, expression, and functional data, informed by evolutionary forces such as selection, mutation, and drift.
Ha My Vy, Ph.D.
Ha My completed her undergraduate and Masters degree in Theoretical Physics at Hanoi National University of Education. Ha My completed a Ph.D. at Ewha Womans University in South Korea in 2016. During her Ph.D., Ha My has worked on developing theoretical tools for detecting incomplete selective sweeps from sequence polymorphism and applying them to Drosophila population genomic data.
Kumardeep is a postdoctoral fellow co-mentored by Dr. Ron Do and Dr. Girish Nadkarni. He completed his undergraduate (Gold Medal) in Zoology (Hons.) and Masters (Systems Biology and Bioinformatics) from Panjab University, Chandigarh, India. He completed his Doctorate (Prof. GPS Raghava’s lab) from Bioinformatics Centre at Institute of Microbial Technology, Chandigarh (IMTECH-JNU PhD program). His past research has included identification of survival-specific subtypes in liver cancer samples using deep learning methods. Dr. Chaudhary is interested in: Personalized Medicine, Next Generation Sequencing, Biomarker identification, GWAS and Medical Health. His ultimate goal is to advance translational health using computational approaches including artificial intelligence.
Carla Marquez-Luna, Ph.D.
Carla joined the lab as a postdoc in January 2019. She completed her Ph.D. in Biostatistics at Harvard University in 2018 under the supervision of Alkes Price. Her doctoral research focused on the development of methods that leverage functional annotations and multiethnic data to improve polygenic risk prediction. Carla holds a Bachelors in Mathematics from National Autonomous University of Mexico (UNAM). After college, she worked as a research assistant at the National Institute of Genomic Medicine (INMEGEN) in Mexico, and did two research stays at the Broad Institute of MIT and Harvard where she worked on GWAS for metabolic traits and type 2 diabetes in Mexican populations, the latter as part of the SIGMA T2D consortium.
Áine Duffy, M.Sc.
Áine joined the lab as an Associate Bioinformatician in December 2017, co-mentored by Dr. Ron Do and Dr. Girish Nadkarni. Áine completed her undergraduate degree in Biochemistry and her Master’s degree in Biomedical Genomics at the National University of Ireland, Galway. During this Master’s, her main project encompassed analyzing small RNA sequencing data for the presence of double strand break induced small rnas (diRNAs).
Iain Forrest, B.Sc.
Iain S. Forrest graduated summa cum laude from the University of Maryland, College Park with a B.S. in Cellular Biology & Molecular Genetics. During his time at University, he was a student researcher in developmental biology in Dr. Leslie Pick’s lab and investigated how genes change over evolutionary time to form a diverse array of insect body plans. Concurrently, Iain was a student researcher in genetic ophthalmology in Dr. Brian Brooks’ lab at the National Eye Institute at the NIH, where he interrogated the genetic basis of two debilitating human eye diseases via CRISPR-Cas9 mutagenesis and iPSC models. Now, Iain is a third year MD-PhD student at the Icahn School of Medicine, Mount Sinai and joined Dr. Ron Do’s lab as a graduate student in 2019. He is interested in innovating and applying human genetic approaches to advance precision medicine for complex human diseases. This includes 1) conducting GWASs in the UK Biobank and Mount Sinai’s BioMe Biobank, 2) generating polygenic risk scores for patients afflicted with diseases such as diabetes and coronary artery disease, and 3) tailoring treatment for patients based on their unique genomic risk profile. In his free time, Iain is a singer-songwriter/cellist-electric cellist known as Eyeglasses, and performs at weddings, restaurants, in the streets and subways of cities and at hospitals.
Shantanu Bafna, M.Sc.
Shantanu joined the lab as Associate Bioinformatician in July 2019. Shantanu has completed his undergraduate degree in Computer Science with specialization in Bioinformatics from Vellore Institute of Technology, Vellore, India in 2016 and Masters in Bioinformatics from Northeastern University Boston in 2019. Before starting his graduate studies, Shantanu was working as an intern in Eminent Biosciences, Indore, India as a Bioinformatics Trainee and worked on identifying high affinity small molecules targeting FLT3 for the treatment of Acute Myeloid Leukemia. During his time at Northeastern, Shantanu has worked as a graduate co-op in Sanofi, Cambridge in the oncology-immunology department and helped the team in successful development of R-Shiny application for single-cell RNA-seq analysis and cell type identification.
|Geneviève Galarneau, Ph.D.||Postdoctoral fellow from September 2015 to December 2016.||Now Statistical Genetics Lead, Celmatix, New York.|
|Marie Verbanck, Ph.D.||Postdoctoral fellow from Jan. 2016 – Aug. 2019||Now Assistant Professor at Université Paris Descartes, Paris, France.|