Prof of Biomedical Data Science @ExeterMed and Senior Director @novonordisk My academic research: Causal inference, RCTs, observational data & genetics
Fun fact! There is an interesting connection between the technique of Simulation Extrapolation for dealing with measurement error in statistical models and the mass estimation using lattice quantum chromodynamics https://t.co/sswY151hcB @DrTonyPadilla @TheStatsGeek
#JobAlert Computational #postdoc or #PhD on #singlecell#genomics understanding primate #GRNs involving KRAB ZNF ZNF808 in pancreas development:
Paper: https://t.co/FeIpBTxDN9
Job: https://t.co/cJmDzZnHcj
Applications will be reviewed 07/08/2024 but ad will stay open.
Submit and abstract and join me at the 6th Cold Spring Harbor Biological Data Sciences meeting this autumn/fall, where I’ll be chairing a session on Personalized Medicine and Population Genetics! https://t.co/DQVnzVwhkv
I have several exciting openings for PhD students and postdocs in the context of my advanced ERC grant #ERCAdG on Assumption-lean (Causal) Modeling and Estimation. Please spread the news! https://t.co/zLP5Z93FyN
@DassGhent
@UGent_fwe@ResearchUGent@UGent@ERC_Research
@stevesphd Except when the intervention is the drug itself (which won't be randomised in UKB primary care data), right ? In this case , even among treated people , a PGx variant can be a randomiser to different levels of treatment
Methodology research is an intense process mentally & emotionally - this rarely gets mentioned so thought I would share that it’s something I struggle with personally
It’s all consuming as your brain keeps trying to solve problems & generate solutions
Exciting & exhausting
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