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watershed is easily adaptable to any individual/patient signal for which you can identify outliers.

Our second speaker of the morning at @AGBT Precision Health 2022 @sbmontgom from Stanford University focused on interpreting rare variants in common and rare genetic diseases. #AGBTPH

I use the 1000 Genomes sample and population metadata frequently enough that I wrote a small #Rstats data package over the weekend, just published to CRAN. In case it's useful to you: On CRAN: CRAN.R-project.org/package=kgp Documentation: stephenturner.github.io/kgp/

Sometimes I feel that I haven't been productive for a very long time. But then I also feel motivated to pursue the many new ideas in front of me. PhD life is full of ups and downs, even on the scale of minutes. #academictwitter

We have four posters from the lab today, come see #ASHG22! Guanghao Qi PB3141 on single cell ASE Taibo PB3603 on rare variation from multi-omics Ashton Omdahl PB3480 on factor analysis for GWAS @J__Stock PB2916 on networks from CRISPR perturbations

It is a real honor to work with this amazing group of scientists who will most definitely change the future of medicine. Rachel Ungar Andrew Marderstein Soumya Kundu Tanner Jensen

Such an elegant genetic study with clear mechanisms. An inspiring thread as well.

Online today in Cell! Our fab collaboration with Iain Cheeseman lab: image-based screen 5K+ essential genes to build a resource defining the phenotypic consequences of disrupting core cellular processes Broad Institute Whitehead Institute Luke Funk cell.com/cell/fulltext/…

Fantastic time presenting our work on predicting ablation targets in ARVC patients using computational whole-heart models at #AHA22 My first in-person conference since 2019 NataliaTrayanova Johns Hopkins BME Institute for Computational Medicine AHA Science Hugh Calkins JHU ADVANCE Trayanova Lab

A few of my reflections on #biodata22. Im really interested to hear what you all thought too

The size of space — a visualization of the scale of the universe to help put things in perspective. Credit: Neal Agarwal

I will be recruiting for a new preventive cardiology / cardiometabolic medicine fellow Johns Hopkins Ciccarone Center for 2023. Now that Match is done, futures are being planned. If interested in this 1 or 2 year position, please DM me.

Such a well-deserved award for one of the most inspiring mentors I've ever worked with- congratulations!!!

Congrats honey! This is impressive!

I am excited to share that my work on heart digital twins in Trayanova Lab has been featured in today's Wall Street Journal! I'm grateful for the mentorship from NataliaTrayanova and support from our team! Stay tuned for more exciting work on #DigitalTwin ! #EP JHU ADVANCE Johns Hopkins BME

I am humbled and BEYOND EXCITED to have matched at my dream program The Johns Hopkins Brady Urological Institute I am deeply grateful for the past eight years of memorable experiences at Hopkins and look forward to training to become a surgeon scientist with so many amazing mentors and colleagues.

All of my applications to internal awards and grants within Johns Hopkins have been turned down in the past eight years. I am constantly reminded of what it's like to be in academic medicine where rejections are commonplace. Hope I'll receive a positive result soon!

I shared my severe concerns for the non-transparent selection process for alpha omega alpha #AOA with the Johns Hopkins Medicine task force today. Inspired by UCSF, meded.ucsf.edu/news/ucsf-scho… I decided to no longer pursue affiliation with the AOA in my future career.