The BioC2023 conference will take place in Boston, MA, Dana Farber Cancer Institute.

See Conference Information for details.

Call for abstracts is open.

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Speakers

JJ. Allaire

Founder and CEO, RStudio

JJ is software engineer and entrepreneur who builds tools that empower people with technology. JJ has conceived and designed several industry leading products by balancing market, customer, and technical considerations, and by maintaining intimate involvement in all aspects of software design and construction. He is currently the founder and CEO of statistical computing company RStudio. https://github.com/jjallaire https://mobile.twitter.com/fly_upside_down

Heng Li

Associate Professor, Dana-Farber Cancer Institute and Harvard Medical School

Heng Li studies advanced computational algorithms to solve practical biological problems, currently with a focus on sequence alignment, variant calling, de novo assembly, data storage, and information query. He developed and maintains several widely used software packages, such as BWA, samtools, minimap2, and seqtk, for analyzing high-throughput sequencing data. He has also collaborated with multiple research groups and published work on the analysis of single-cell sequence data, chromosome conformation, cancer genomics, population genetics and species evolution. https://hlilab.github.io/

Kathryn Roeder

UPMC Professor of Statistics and Life Sciences, Carnegie Mellon University

Kathryn M. Roeder is an American statistician known for her development of statistical methods to uncover the genetic basis of complex disease and her contributions to mixture models, semiparametric inference, and multiple testing. Roeder holds positions as professor of statistics and professor of computational biology at Carnegie Mellon University, where she leads a project focused on discovering genes associated with autism. https://www.stat.cmu.edu/~roeder/

Beth Cimini

Senior Group Leader, Broad Institute of MIT and Harvard

Beth Cimini leads the Cimini Lab within the Imaging Platform of the Broad Institute of MIT and Harvard. Her team works with biologists to help them create image analysis workflows and makes the open-source image analysis software CellProfiler. In 2020, she was named a CZI Imaging Scientist for her work on making open-source image analysis tools more accessible to the bioimaging community and for her creation of a postdoctoral training program in bioimage analysis. https://cimini-lab.broadinstitute.org/, https://twitter.com/CiminiLab

Jeffrey Moffitt

Assistant Professor, Harvard Medical School and Boston Children’s Hospital.

Jeffrey Moffitt is an Assistant Professor in the Department of Microbiology at Harvard Medical School and the Program in Cellular Molecular Medicine at Boston Children’s Hospital. His research focuses on the development of spatially resolved transcriptomic tools and their application to questions at the microbe-host interface in mammals. Jeff co-developed multiplexed-error robust fluorescence in situ hybridization (MERFISH), a transcriptome-scale single-RNA-molecule imaging technique capable of imaging and identifying thousands of RNA molecules within single cells in intact tissue samples. He demonstrated that this new measurement capability can define gene regulatory networks, map the intracellular organization of the transcriptome, and define and map cell types within tissues such as the brain. Jeff continues to develop new extensions of MERFISH and to apply these techniques to understand the spatial organization of commensal microbial communities, the role this organization plays on microbe-microbe and microbe-host interactions, and the role of the cellular organization of host tissues in the response to microbial perturbations. Jeff was named a Pew Biomedical Research Scholar in 2019. https://moffittlab.github.io/

Samantha Lent

Senior Computational Biologist at Freenome

Sam Lent is a computational biologist currently working in liquid biopsy assay development. She received her PhD in Biostatistics from Boston University and is a former fellow of the University of Chicago MacLean Center for Clinical Medical Ethics. Since completing the fellowship program, she has continued her independent research on privacy risks and European bias in public DNA methylation data. https://twitter.com/samanthalent

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