I am an Instructor in Neurology at Harvard Medical School – Massachusetts General Hospital as a part of Dr. Michael Talkowski’s lab, where I was previously a postdoctoral research fellow. I am investigating the detection of copy number and structural variants, as well as their implications for human health and phenotypic variation.

I was a PhD student in the Biostatistics Department at the Johns Hopkins Bloomberg School of Public Health, where I worked on projects involving high-throughput genomic data. Under the direction of Drs. Jeffrey T. Leek and Margaret Taub, I developed linear models for quantifying RNASeq data – in particular understanding the variability of expression quantification. My work with Drs. Robert B. Scharpf and Ingo Ruczinski involves designing a pipeline for the identification of CNVs in disease subpopulations in familial settings – to elucidate candidate regions for further research.

I’ve also spent a summer working at Pacific Biosciences with Elizabeth Tseng on quantifying variability in the long sequencing reads produced by PacBio machines and evaluating new applications of these unique reads.

The fastest method of contacting me is through an e-mail to the following address:
jmfu AT mgh DOT harvard DOT edu.

My github is located at: https://github.com/JMF47