Function of human DNA and its variation
Our goal is to understand how human DNA functions in different contexts. To do so, we assay important aspects of cell state, create accurate and useful quantitative models of the readouts, and map the determinants of variation using genetic screens across a range of genetic or environmental backgrounds.
We are a combined computational and laboratory based research group. In the lab, we develop tools for genetic perturbations, and use synthetic biology and genome engineering to create cell lines that report on various aspects of cell state, from signaling pathway activity to cell cycle stage. We measure changes to reporter activities via growth competition, single cell RNA sequencing, as well as by fluorescence-based readouts. Computationally, we model the salient aspects of data generating processes to understand the underlying biology. We create generative models of large scale genetic screens and their outputs, and cast it in software.
The following four statements describe our approach:
1) We get things done. We start projects with clearly defined goals, and publish both positive and negative results of the ones that pass the pilot stage. We deliver to our collaborators.
2) We work on important problems. We pick projects based on how much they impact our understanding of human cells, characterize the variation of gene function across individuals, or influence how others work.
3) We succeed as a team. We have a diverse mix of backgrounds and skillsets, complementing each other with our strenghts.
4) We are excited about science. We read broadly, discuss latest developments, and keep up to date both with the depth of our field, and the entire breadth of genomics.
Dr Leopold Parts
Leo is a geneticist with broad interests in all areas of genomics. He focuses on figuring out most important features to measure in individual cells, creating accurate computational models for their readouts, and finding out how they are changed by genomes and environment. Trained in maths and computer science, he now spends his time pondering about statistics and high throughput cell biology.
Previous team members
We seek to explore the vast cellular diversity in the human brain using large-scale spatial transcriptomics, imaging and functional screens.
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