Principal Investigator
Po-Ru Loh
Associate Professor, Harvard Medical School
Associate Member, Broad Institute of MIT and Harvard
Po-Ru completed a B.S. in Mathematics at Caltech and a Ph.D. in Applied Mathematics at MIT with Bonnie Berger. He then trained as a postdoc in Statistical Genetics with Alkes Price at the Harvard T.H. Chan School of Public Health.
Once upon a time, Po-Ru competed in math olympiads, the Putnam Competition, and TopCoder programming contests; nowadays, he enjoys applying his mathematical background to solving computational challenges in biomedical research.
Postdocs and Instructors
Margaux L.A. Hujoel
Postdoctoral Fellow, Harvard Medical School
Margaux completed a B.S. in Mathematical and Computational Biology at Harvey Mudd and a Ph.D. in Biostatistics at the Harvard T.H. Chan School of Public Health. Margaux’s research focuses on developing novel methods to better understand the genetic architecture of disease and complex traits.
Ronen E. Mukamel
Instructor, Harvard Medical School
My current research focus is on structural variation in human genomes and the impact of structural variants on human health. My background is in pure mathematics, specifically the geometry of surfaces and billiards in polygons. When I am not engaged in research, I prefer to be walking up a mountain. (Admittedly, I often think about research while walking up a mountain.)
Simone Rubinacci
Postdoctoral Fellow, Harvard Medical School
Simone obtained a DPhil from the University of Oxford, where he developed methods for haplotype phasing and genotype imputation. He then moved to the University of Lausanne for a postdoc, where he extended his work to low-pass sequencing data. Simone’s research focuses on developing efficient methods to retrieve information from noisy whole-genome sequencing or SNP array data.
Graduate Students
Nolan Kamitaki
Ph.D. Student, Harvard Medical School Bioinformatics and Integrative Genomics (BIG)
Nolan is a PhD student in the Bioinformatics and Integrative Genomics (BIG) program at HMS. He previously studied statistics and computer science at Harvard University. His interests span the development and application of computational and molecular approaches to understanding how genetic variation ultimately leads to phenotypic differences. Outside of research, he enjoys spending time with his family.
Alumni
Alison R. Barton
Ph.D. Student, Harvard Medical School Bioinformatics and Integrative Genomics (BIG)
Postdoctoral Fellow, Harvard Medical School Department of Genetics
Alison joined the lab as a PhD candidate in Bioinformatics and Integrative Genomics at Harvard University. She previously studied Molecular, Cellular, and Developmental Biology and Archaeological Studies at Yale College. After undergrad, she went on to earn an MPhil in genetics at Cambridge University before working as a scientific programmer in Peter Park’s group at Harvard University.
Alison is interested in population genetics and its relevance in examining large-scale human genetic data sets. She hopes to use this data to understand more about the role of human variation and population history in health and disease.
Maxwell A. Sherman
Ph.D. Student, MIT Electrical Engineering and Computer Science (EECS)
Co-Founder & CTO, Serinus Biosciences
Max is a PhD student in Electrical Engineering and Computer Science (EECS) at MIT. He previously studied applied mathematics at Brown University and theoretical statistics at the University of Cambridge before working as a scientific programmer in Peter Park’s computational genomics group at Harvard.
Max uses modern statistical methods / machine learning to design ultra-efficient algorithms for analyzing biomedical data. He is particularly interested how population patterns learned from biobank data can be used to predict traits, diseases and health outcomes for individuals (though when the weather is good, he may occasionally venture outside for a good hike).
