Biomedical Data Science at Bayer. Interested in Probabilistic Programming, Causal Inference and occasionally Statistical Physics and randomised algorithms.
In conclusion, our study, based on large-scale human genetic data, suggests that pharmacological inhibition of FXI may achieve considerable reductions in ischaemic stroke risk.
Great to see our work published today. https://t.co/tLMCLV2RNs @benjamin_georgi@skathire@amitvkhera We were interested in Factor XI, a target of the coagulation cascade currently in clinical development (Ph II). We used two common genetic variants, previously shown to be
@GretaThunberg 2018/2019
I know you were sitting alone outside the Swedish Parliament a year ago but you are not alone anymore Greta.
Eff what the haters have to say because like you said change is coming whether they like it or not.
I am with you & Millions of others are too. We got you.
I think in their model one should put a structured prior (e.g. a GP prior with RBF kernel) over the intercepts corresponding to the different risk sets. Currently they are all independent... A neat exercise to code this in @mcmc_stan.
Gratified that >1500 people interested in biomedical research have signed up for the BBR course starting Oct 4 at 10am EDT. Registrants will receive access information by Sunday. Not too late to register - https://t.co/n07rtsAJuX #bbrcourse
Hey Twitter folks! Does anyone know of a package for simulating experimental data or survey data? I've been thinking I need a proper sandbox for our MRP work, but don't want to reinvent the wheel!
I can recommend to give a @BBayesians meetup talk about your work and how Bayesian methods have been used there (e.g. at Lyft or Facebook)! It’s also a great way to meet a nice and active community.
What are the best things to do/see/eat while visiting Berlin? I'm going to be there for five days in early October and would love to hear any recommendations you have.
I have launched the #PyDataPodcast! Check out Ep1 with @fonnesbeck where we talk about #ProbabilisticProgramming, #PyMC3, #PyMC4, and baseball analytics https://t.co/p2uALnYPKn It's supposed to be a conversation-based show on more advanced topics, let me know what you think!
How often did I get stuck in a stats or probability context, because of ambiguous math notation or sloppy explanations. And often it’s a probabilistic program (in @mcmc_stan) that helps me understand what’s going on! A (latent) advantage of PPLs!!!