
Alice Terrill
@alice_terrill
PhD candidate at MIPS
ID: 1509692668267302952
01-04-2022 00:42:50
63 Tweet
112 Followers
165 Following






It's official, Cornelia Landersdorfer is Supervisor of the Year! A massive congratulations, I'm so lucky to have such an amazing supervisor 💐🥇❤️

Thrilled to be named one of The Financial Review's Top100 Future Leaders! And also to be a finalist for both the Quantium Data Science and Transition Hub First in Family Awards! Attending the awards ceremony in Sydney and meeting other finalists was truly inspiring!



Congrats to Alice Terrill who was selected among 1,700 applicants to be named a 2024 Top100 Future Leaders through the Financial Review initiative established to recognise top Australian university students! monash.edu/pharm/about/ne…

What a pleasure to be at the PAGANZ_PMx Melbourne 2024 Annual Scientific Meeting! Being a part of the Local Organising Committee was an incredible experience, and I also had the opportunity to present!


The latest paper from our lab identified extracellular metabolites of Pseudomonas aeruginosa correlated with ceftolozane/tazobactam-resistant subpopulations and modelled the time-courses of these metabolites Jessica Tait CreekLab CRE RESPOND journals.asm.org/doi/10.1128/aa…



I had the opportunity to participate in #20phds20mins and can't recommend it enough. Dr Shane Huntington OAM does an awesome job at bringing out your best for the radio! Highly encourage an PhD students to apply!



Pleased to share our genomics-informed Quantitative & Systems Pharmacology model to describe and predict resistance emergence is now published in the current issue of Clinical Microbiology and Infection read it open access here doi.org/10.1016/j.cmi.… Antonio Oliver IdISBa Monash Institute of Pharmaceutical Sciences

Alice Terrill is trying to predict the effectiveness of antibiotics on Pseudomonas aeruginosa. So important with antibiotic resistance increasing 💊💊💊 Monash Institute of Pharmaceutical Sciences Monash Pharmacy & Pharmaceutical Sciences VIIN #YoungVIIN2024 #VIINYIS


🔵Day 5 of #WAAW2024 🔵 Cornelia Landersdorfer and team are using computer modelling to describe and predict when resistance to #antibiotics will emerge during treatment for bacterial infections🖥️ #AMR #AntimicrobialResistance #superbugs Read more here: lens.monash.edu/@dominika-fuhs…

