Darya Alcock

Supervised AI-assisted biology labs, supporting over 50 participants in using LLMs (Claude) for experimental learning workflows. Led real-time troubleshooting and optimisation of Claude workflow, improving lab task accuracy and participant satisfaction.

Crafted engaging, human-like conversations and stories in Canadian English, with attention to regional nuances and idioms. Critically evaluated employee and AI model performance, providing constructive feedback for improvement.

Developed manuscript outlines and first drafts across various therapeutic areas, demonstrating versatility in medical writing. Designed infographics and data visualisations to distil complex information into clear, concise findings for both technical and lay audiences.

Collaborated on sequencing-based data analysis; used Python and FIJI to process and visualise biological data related to gene expression and tissue morphology. Contributed to manuscript production for publishing, enhancing scientific writing and communication skills.

Identified and corrected data inconsistencies, improving overall database integrity for long-term reporting. Used MailChimp, WordPress, and Canva to produce monthly SEO content, newsletters, and marketing content for the website.

Worked with synthetic polymers to produce microspheres in a single-emulsion technique for controlled drug delivery and release studies. Conducted advanced data analysis on synthetic polymer and cell culture interactions, contributing to ML-ready datasets in biomedical research.

Currently completing an MSc in Computer Science and AI, bringing hands-on experience in multimodal data analysis and visualisation, data-centric AI, and a track record of managing complex lab and research projects across both academic and industry settings. Core coursework included Algorithms, Data Structures, Databases, AI, Python, and Machine Learning.

Grade: Dean's Commendation

Received Dean’s commendation for 7 semesters during the Associateship of King’s College London (AKC) program.

Grade: Upper 2:1

Achieved Upper 2:1 for overall degree grade in Biomedical Science. Relevant coursework included Psychology, Molecular and Cellular Neuroscience, Statistics, Molecular Basis of Gene Expression, and Physiology and Pharmacology of the Central Nervous System.