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Wednesday Flagship Seminars

This weekly seminar series is held on Wednesdays throughout the academic semester at 1pm. Talks are open to academic staff, researchers, post-graduate and undergraduate students. Please contact the lead organiser Andrea Harper if you have any queries.

Upcoming seminars

Wed
8
Jan

Professor Patrick Yizhi Cai - Manchester Institute of Biotechnology - University of Manchester

By integrating engineering principles with biological research, we aim to see research through from idea to applicable knowledge and technologies. In doing so, we are committed to filling in our piece of the scientific puzzle, helping the field of synthetic biology reach its full potential.

Wed
15
Jan

Dr Alyssa Cull - Centre for Blood Research at York - Kent Lab

Haematopoietic stem cell clonal dynamics following gene therapy for sickle cell disease

Wed
22
Jan

Molly Magarotto & Dr Anita Ho - Chen Lab

Molly Magarotto - Transcriptomic profiling of familial ALS/FTD-associated RNA-binding deficient TDP-43 mutants reveals dysregulation of neuronal and synaptic genes in vitro Dr Anita Ho -  Identification of novel small molecule chaperone activators for neurodegenerative disease treatment

Wed
26
Feb

Dr Alex Ball - Natural History Museum

Imaging and Analysis at the Natural History Museum: From 3D scanning whales and dinosaurs, reconstructing the earliest terrestrial ecosystems, to predicting damage to satellites. A challenging, but fun working environment.

Wed
5
Mar

Dr Felix Randow - MRC Laboratory of Molecular Biology - University of Cambridge

Cell-autonomous immunity: How cells defend their cytosol against invasive bacteria

Wed
12
Mar

Professor Andy Pickford - University of Portsmouth

Currently leads the Centre for Enzyme Innovation and the BBSRC Engineering Biology - Preventing Plastic Pollution with Engineering Biology (P3EB) Mission Hub

Wed
14
May

Dr. Hajk-Georg Drost - University of Dundee

Digital Biology is rapidly emerging as a transformative field, merging biological sciences with advanced computational technologies. Our discipline is concerned with how to effectively leverage intelligent software, predictive analytics, and high-performance computing to decode complex biological data to lead the way for groundbreaking advancements in healthcare and pharmaceuticals.