University Assistant Professor
PhD Opportunities
We welcome motivated and creative candidates interested in joining the Dydio Lab to pursue a PhD starting in October 2026. For further information about available projects and application procedures, please contact pd552@cam.ac.uk.
Research
The Dydio group is researching new ways to improve the efficiency and capacity of organic synthesis.

Areas of interest include:
- Complex Networks of Reactions
- Mechanism-based design of new transformations
- Advancing key industrial processes driven by elucidating their mechanistic features
Watch Dr Dydio discuss his research
Publications
Binuclear Pd(I)-Pd(I) Catalysis Assisted by Iodide Ligands for Selective Hydroformylation of Alkenes and Alkynes
Journal of the American Chemical Society
(2020)
142
18251
(doi: 10.1021/jacs.0c09254)
Publisher Correction: Dual-catalytic transition metal systems for functionalization of unreactive sites of molecules
Nature Catalysis
(2019)
2
175
(doi: 10.1038/s41929-019-0232-8)
Dual-catalytic transition metal systems for functionalization of unreactive sites of molecules
Nature Catalysis
(2019)
2
114
(doi: 10.1038/s41929-018-0207-1)
The Influence of Binding Site Geometry on Anion-Binding Selectivity: A Case Study of Macrocyclic Receptors Built on the Azulene Skeleton
Chemistry (Weinheim an der Bergstrasse, Germany)
(2018)
24
11683
(doi: 10.1002/chem.201801460)
Beyond Iron: Iridium-Containing P450 Enzymes for Selective Cyclopropanations of Structurally Diverse Alkenes.
ACS Central Science
(2017)
3
302
(doi: 10.1021/acscentsci.6b00391)
Chemoselective, Enzymatic C-H Bond Amination Catalyzed by a Cytochrome P450 Containing an Ir(Me)-PIX Cofactor.
J Am Chem Soc
(2017)
139
1750
(doi: 10.1021/jacs.6b11410)
Diamidonaphthalenodipyrrole-derived fluorescent sensors for anions
Sensors and Actuators B: Chemical
(2016)
237
621
(doi: 10.1016/j.snb.2016.06.142)
Azulene‐Based Macrocyclic Receptors for Recognition and Sensing of Phosphate Anions
Chemistry - A European Journal
(2016)
22
17673
(doi: 10.1002/chem.201603555)
An artificial metalloenzyme with the kinetics of native enzymes
Science
(2016)
354
102
(doi: 10.1126/science.aah4427)
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