Mike Cuoco
PhD Candidate in Bioinformatics and Systems Biology (joint with Gage lab)
University of California, San Diego
Contact: mcuoco [at] ucsd [dot] edu
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.
Alon Gelber
MD-PhD Candidate in Bioengineering
University of California, San Diego
Contact: agelber [at] ucsd [dot] edu
Alon is interested in the development of computational methods for the analysis of single-cell omics data, and the application of these methods to answer questions about the molecular underpinnings of behavior. He is currently working on transcriptomic sex differences in the cortex.
Abbey Green
PhD Candidate in Neuroscience
University of California, San Diego
Contact: a5green [at] ucsd [dot] edu
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
Dr. Junhao Li
Research Scientist
contact: jul307 [at] ucsd [dot] edu
Junhao is interested in finding non-coding RNAs related to neuroepigenetics from large-scale next-generation sequencing data, and investigating their implications for neurodevelopment and neurological disorders.
Heng Xu
PhD Candidate in Bioinformatics and Systems Biology
University of California, San Diego
Contact: hex002 [at] ucsd [dot] edu
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.
Alumni
Dr. Fangming Xie
Ph.D. in Physics; currently Postdoctoral Fellow at UCLA
University of California, San Diego
contact: f7xie [at] ucsd [dot] edu
Fangming is interested in differentiating DNAs from their mixture of different tissue origins, with applications
to detection of neurodegenerative disease.
Russell Li
High school student,
St. John's School in Houston
Contact: rli [at] sjs [dot] org
Russell is a high school senior at St. John's School in Houston. His research interests include using deep learning to analyze epigenomic sequencing data and uncovering the connection between the patterns and aberrations in such data and various neurological disorders.
Ethan Armand
UCSD Cognitive Science
contact: earmand [at] ucsd [dot] edu
Ethan is now a Ph.D. student in the Bioinformatics and Systems Biology program at UCSD.
Lily Tran
Bioinformatics Programmer
University of California, San Diego
Contact: lit008 [at] ucsd [dot] edu
Lily is interested in database engineering and applying machine learning algorithms to next-generation sequencing data.
Aditya Chandrasekar
UCSD BS in Computer Science with specialization in Bioinformatics; Mathematics minor
University of California, San Diego
contact: adc041 [at] ucsd [dot] edu
Aditya is interested in applying software and bioinformatics tools for understanding large-scale genomic data, as well as the role of the epigenetic profile of the brain in development and disease. He is currently hoping to write software for the lab, especially across web portal development.
Christopher Keown
Ph.D. Candidate in Cognitive Science
University of California, San Diego
website:
http://www.chriskeown.com
contact: christopher.keown [at] gmail [dot] com
Chris is interested in examining genome-wide DNA methylation patterns in the brain to understand how methylation markers differ across cell types and the functional implications of this; how changes in methylation may support cognition; and whether methylation differences may be implicated in disorders such as schizophrenia and autism.
Dr. Wayne Doyle
Postdoctoral Fellow
University of California, San Diego
contact: widoyle [at] ucsd [dot] edu
Krystyna Kolodziej
Ph.D. Candidate in Biomedical Sciences
University of California, San Diego
contact: kkolodzi [at] ucsd [dot] edu
Han Li
UCSD CSE
University of California, San Diego
contact: h5li [at] ucsd [dot] edu
Dr. Urvashi Bhattacharyya
Shweta Patkar
Research Associate, Summer 2017
contact: shwetapatkar96 [at] gmail [dot] com
Tianhao Xiao
Research Associate, Summer 2017
Diego Zamora Rodriguez
Research Associate, Summer 2017
B.A. candidate, Computer Science
Tecnologico de Monterrey, Campus Guadalajara (ITESM), Mexico
Michael Hatch
B.S. candidate in Cognitive Science
University of California, San Diego
contact: mjhatch [at] ucsd [dot] edu
Alex Jorjorian
B.S. candidate in Bioengineering Biotechnology
University of California, San Diego
contact: ajorjori [at] ucsd [dot] edu
Tomo Ishihara
Maria Yera
Mingtao Gao
Saieashwar Mukund
Zhaoyi Hou
Yijiu Zhong
Chiin Quah
Hongyi Pan
Zeyun Wu
Jenna Kovsky
Openings for students and post-docs
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.
Postdoctoral position in Computational Neuro-Epigenomics
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):
- A cover letter describing your background, research interests and how they fit with our lab
- Curriculum vitae
- Contact information for 2-3 references
- If available, a sample of the applicant's work, e.g. a manuscript, thesis, or other work product
Salary will be commensurate with NIH rates. For inquiries or more information, please contact Eran Mukamel at the address above.