Abbey is interested in the field of biomedical informatics and is currently working to elucidate the relationship between aging and mitochondrial DNA methylation in the brain
Heng is engaged in the field of genomics, specifically focusing on DNA methylation. His aim is to unravel the mechanisms that interconnect DNA sequences, epigenomics, and transcriptomes, through machine learning/deep learning techniques.
Qiucun is interested in genome regulation and its relationship with disease and aging. She is currently utilizing spatial transcriptomics to investigate how drug exposure influences brain circuits.
Mike is interested in the causes and consequences transposable element activity in the developing, healthy, and aging brain. In his current work, Mike uses novel molecular and computational techniques to measure and perturb transposable element activity in neurons.
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We are recruiting students and postdocs interested in getting involved with our work on computational analysis and modeling of neural dynamics and epigenomics data sets. If you are interested, email us at lab [at] brainome [dot] ucsd [dot] edu.
The UCSD Computational Neural Data and Dynamics Lab, led by Prof. Eran Mukamel, is seeking applications for a funded postdoctoral research position as part of our group's studies of epigenomic regulation in brain cells. Our lab in the University of California, San Diego (UCSD) Cognitive Science department uses tools from bioinformatics and machine learning to analyze a variety of neural epigenetic processes. We have identified unique forms of DNA methylation in neurons and glial cells, and we are working to understand the distribution, development and potential function of these epigenomic marks. Our theoretical and computational research group has close ties with experimental neurobiology and genomics labs in San Diego. More information about the lab is at http://brainome.ucsd.edu.
Applicants should hold a Ph.D. (or expect to receive one shortly) and have a strong background in computational biology (e.g. computational neuroscience, bioinformatics), or physical science or engineering (e.g. math, physics, computer science, bioengineering) as well as a strong interest in fundamental genomic processes underlying neural development and cognition. Previous experience with genomic or epigenomic data analysis is an advantage, but not necessary.
To apply, please send the following to Prof. Mukamel (emukamel@ucsd.edu):
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