Daniel Reker is a tenure-track Assistant Professor in the Department of Biomedical Engineering at Duke University and a Duke Science and Technology Fellow. He holds a B.Sc. with honors in Computer Science and a M.Sc. with honors in Computational Biology and Bioinformatics. He received his PhD from the Institute of Pharmaceutical Sciences at ETH Zurich and conducted his postdoctoral work in drug delivery as a SNSF Postdoctoral Fellow with Bob Langer and Giovanni Traverso at MIT. Daniel has been named Forbes 30 under 30 in Science and Healthcare and has recently been recognized both as a National Institute of Biomedical Imaging and Bioengineering “Trailblazer” and as a National Institute of General Medical Sciences “Outstanding Investigator”. At Duke, he is building an integrated experimental and computational laboratory to conduct active machine learning campaigns with applications in drug discovery and drug delivery. The over-arching goal of the laboratory is to de-risk, accelerate, and optimize the development of therapeutics.