I am an Assistant Member in the Biostatistics Program at Fred Hutch Cancer Research Center. The best way to contact me is through email. You can find direction to my office here.
My primary research concerns estimation and inference from high-dimensional data, in particular to develop statistical machine learning methods to solve problems in genomics and microbiome. Networks are important in this learning process because they are well-suited to representing interactions between biomolecules/microbes. Some projects that I’m currently working on are:
Before coming to the Hutch, I was a postdoctoral fellow at the University of Pennsylvania mentored by Prof. Hongzhe Li and Prof. T. Tony Cai from 2015-2017. I received my Ph.D. degree in Statistics in 2015 from the University of Michigan, under the supervision of Prof. George Michailidis.
For a complete list of publications, see my Google Scholar. For more details about my background, read my CV.
Prof. Ali Shojaie and I are looking for a talented and motivated postdoc on statistical machine learning. Please see the description below.
Position Title: Postdoctoral Researcher in Biostatistics
Summary: The research group led by Dr. Jing Ma in the Division of Public Health Sciences at Fred Hutchinson Cancer Research Center and Prof. Ali Shojaie in the Department of Biostatistics at the University of Washington is seeking for a highly motivated postdoctoral researcher to develop novel statistical methods for problems in genomics and microbiome. The project will focus on methods for analysis of complex biological/ecological systems using novel statistical machine learning tools, including network analysis, high-dimensional regression and inference. This is a unique opportunity for someone who is interested in a collaborative environment and interacting with investigators with diverse experiences. The position is available for 2 years from August 1st 2018 (or by negotiation).
Duties and Responsibilities: The successful candidate will work with Dr. Jing Ma and Prof. Ali Shojaie in developing novel statistical/computational methods in the context of genomics and microbiome. He/she will have opportunities to join collaborative research projects within Fred Hutch and UW as well as external collaborations.
Position Qualifications: The successful candidate will have
In addition, the ideal candidate will also have
Salary Range: Competitive.
How to Apply: Please email the following materials to jingma@fredhutch.org:
Application Deadline: The post will remain open until the position is filled.
Fred Hutch is excited to host the 2018 Microbiome Symposium on March 16th, 2018! Sessons include
I will join Biostatistics within Division of Public Health Sciences as Assistant Member, starting from August 1st, 2017.