I'm hiring a postdoc at Prescient Design, @genentech, to work on scalable experimental design for scientific discovery!
Strong theory background and interest in practical algorithms encouraged.
Apply here: tinyurl.com/2hxyvnvc
Paper alert🚨 Proteins are my new dark energy, but my latest paper employs hierarchical Bayesian inference, importance sampling, deep sets – all methods close to my heart! 🧵
Paper alert🚨 We apply latent stochastic differential equations (SDEs) to model the time variability of extreme astronomical objects called active galactic nuclei (AGN). Check out our spotlight at #ICLR2023#Physics4ML ! 🧵
We are excited to present PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design! 🧵
We are excited to present PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design! 🧵
arxiv.org/abs/2210.04096
If you're at #SIAMUQ24, come to my talk on BOtied 🎀, a new CDF-based acquisition function for multi-objective BayesOpt (feat. copulas, tails) in MS226 (Fri 5-7pm)! tinyurl.com/34a6x3sd joint work with @tagasovska @stephenrra @kchonyc
You will join me, @m_kirchmeyer, and the @PrescientDesign, Genentech team in modeling dynamical systems with ML for drug discovery. We welcome diverse approaches, including those using causality, new solvers, or LLMs! 2/5
We release with this paper the open-source @LSSTDESC Python package, Node to Joy. It implements the structure-enhanced raytracing, training and evaluation of the BGNN, comparison with number counts matching, and the hierarchical inference analysis.