Ryan

Birthday treat to procrastinate on some work and complete at least 1 #Genuary2026 prompt: Boolean Math

If you want to tinker (or make your own!) Code available here: github.com/ryan-odea/dr...

#python #generativeArt

More catchup! Feels a little cheaty to use convolve2d, but I think this is a bit prettier than manually padding the matrix.
#AdventOfCode

Day 3 - Catching up! #AdventOfCode

Day 2 of #AdventofCode

Little behind, but Day 1 of #AdventOfCode

Peep some new software done with the @causalab.bsky.social! (Now available on CRAN), SEQTaRget can be used to estimate observational analogs of intention-to-treat and per-protocol effects and can adjust for potential selection bias induced by LTFU.
Leave a star on git to track development!
#Rstats

Retired Harvard Chan School professors call federal grant cuts a ‘tragedy’ | Harvard T.H. Chan School of Public Health A group of professors who have retired from Harvard Chan School are speaking out against the federal government’s cancellation of all research grants to Harvard University and the impact the move will...

"The cancellation of federal funding to HSPH is not only a tragedy for our colleagues and their staff and students, but it will also prove to be a tragedy for the health of our fellow citizens," read a statement signed by more than 20 retired Harvard Chan School professors.

Now available on CRAN: circles 0.1.0 ! Currently in developmental infancy, it now provides an adaptation of MATLAB’s bubblebath by Adam Danz to the R ecosystem: check it out now!

github.com/ryan-odea/ci...
#rstats #aRt #generativeArt

Harvard’s School of Public Health is hosting a hackathon to archive public health data! Take part in preservation of crucial public health data in-person (Harvard ID holders) or over zoom!

#publicHealth #Harvard #epidemiology #biostatistics

harvard.az1.qualtrics.com/jfe/form/SV_...

Showing off a new #rstats #python package in collaboration with Sean McGrath! Introducing LEARNER: Latent Space-Based Transfer Learning. We leverage similarity in row and column spaces to improve estimation in the target population.

Check it out in R as “learner” or python as “learner-py”!