Ryan is a Ph.D. candidate studying translational human genomics in the Bioinformatics and Integrative Genomics program at Harvard Medical School. He is supported by an award from the Graduate Research Fellowship Program (GRFP) through the National Science Foundation (NSF).

Click here to read more about Ryan's research interests and publications, or to see his CV.

Structure Meets Function (Blog)

Strength in numbers: genetic sequencing of large populations is shaping the future of medicine

Recently, I wrote a short peice for a great local science news & media outlet, Science In The News (SITN), to explain how population-scale genetic sequencing is driving major advances in precision medicine.

The article is targeted primarily for the lay public (i.e. non-specialists), so it's mostly jargon-free. It gets even better for those among us who are more visually inclined learners: a fellow PhD student at HMS, Brad Wierbowski, put together some great graphical figures to explain the core concepts (thanks Brad!).

While not a dedicated,...

Read more about Strength in numbers: genetic sequencing of large populations is shaping the future of medicine


  • MatsBEBC
    MatsBEBC After 38 years in academia, 19 years as the Head of a unit (@AnimEcol_UU), I have seen a lot and learnt a few things. Here are some of my reflections and experiences. Agrre or disagree, it is up to you. 1/17
  • johnquackenbush
    johnquackenbush Science Friends: I got an NCI R35 Career Award. Between this, a few other grants, and a whole set of postdocs leaving to become assistant professors, I'm searching for 4 to 6 postdocs in computational/systems biology and biostats/health data science. t.co/wl2r2YzZQU
  • RyanLCollins13
    RyanLCollins13 Fascinating new PRS paper from @jorsmo &co. I particularly liked the PheWAS to show pleiotropy captured by schiz PRS. Great reminder that phenos often correlated, thus individual genetic risk factors are predictive (to varying degrees) of multiple traits. t.co/DypC6IJ0hr
  • vagar112
    vagar112 I've been working (longer than I care to admit!) on the challenging problem of predicting mammalian gene expression levels solely from genomic sequence. This work represents the furthest I could manage to get...so far! t.co/zfLavvubsX