Diego leads the Biomolecular Control Group at Imperial College, focused on the analysis and design of biomolecular control systems. He holds a 2015 Young Investigator Grant from the Human Frontier Science Program and a 2013 Imperial College Research Fellowship in Biomathematics.
In 2016 he was appointed a Global Future Council Fellow by the World Economic Forum to serve in the Council on Future of Biotechnologies.
More information in his research website.
Weisse AY, Mannan AA, Oyarzun DA, 2016, Signaling Tug-of-War Delivers the Whole Message, Cell Systems, Vol:3, ISSN:2405-4712, Pages:414-416
Oyarzún DA, Chaves M, 2015, Design of a bistable switch to control cellular uptake, Journal of the Royal Society Interface, Vol:12, ISSN:1742-5689, Pages:20150618-20150618
et al., 2016, Shaping pulses to control bistable systems: Analysis, computation and counterexamples, Automatica, Vol:63, ISSN:0005-1098, Pages:254-264
et al., 2015, Mechanistic links between cellular trade-offs, gene expression, and growth, Proceedings of the National Academy of Sciences of the United States of America, Vol:112, ISSN:0027-8424, Pages:E1038-E1047
Waldherr S, Oyarzún DA, Bockmayr A, 2015, Dynamic optimization of metabolic networks coupled with gene expression, Journal of Theoretical Biology, Vol:365, ISSN:0022-5193, Pages:469-485
et al., 2014, The EGFR demonstrates linear signal transmission, Integrative Biology, Vol:6, ISSN:1757-9694, Pages:736-736
Oyarzun DA, Lugagne J-B, Stan G-BV, 2015, Noise Propagation in Synthetic Gene Circuits for Metabolic Control, Acs Synthetic Biology, Vol:4, ISSN:2161-5063, Pages:116-125
Oyarzun DA, Stan G-BV, 2013, Synthetic gene circuits for metabolic control: design trade-offs and constraints, Journal of the Royal Society Interface, Vol:10, ISSN:1742-5689
Oyarzún DA, Chaves M, Hoff-Hoffmeyer-Zlotnik M, 2012, Multistability and oscillations in genetic control of metabolism, Journal of Theoretical Biology, Vol:295, ISSN:0022-5193, Pages:139-153
et al., 2009, Sequential Activation of Metabolic Pathways: a Dynamic Optimization Approach, Bulletin of Mathematical Biology, Vol:71, ISSN:0092-8240, Pages:1851-1872