Misha Siddiqui

Analytical PhD researcher specialising in AI, multi-omics, and data-driven problem solving. Experienced in leading cross-functional collaborations with AstraZeneca, developing scalable analytical pipelines, and translating complex scientific data into actionable insights. Strong communicator with research, teaching, and industry experience. Seeking to apply structured problem solving in consulting.

Internship - Karyon Bio (USA start-up) - Riyadh

(2025-10 - 2026-01)

• Selected to support international academic program delivery in Riyadh, including tutor coordination, instructional oversight, student guidance, academic reporting, and participation in induction/orientation sessions
• Ensured pedagogical quality, contributed to seminars and enrichment activities, and provided administrative and welfare support in compliance with host institution policies and Saudi regulations

Promoted to Academic Coordinator - Oxmedica

(2025-07 - 2025-09)

• Developed deep learning and spatial analysis pipelines integrating imaging and multi-omics data to identify disease biomarkers
• Validated models, collaborated cross-functionally, published findings, mentored juniors, and ensured compliance

Selected as tutor for Oxmedica summer program - Oxmedica

(2024-07 - 2024-09)

• Delivered training in coding, AI, and machine learning to students
• Designed and facilitated interactive learning exercises
• Mentored students on programming and problem-solving projects

Internship - Klarity

(2022-10 - 2023-01)

Produced written content on healthcare and scientific topics, synthesising technical information into clear insights

PhD Research - ICR (Institute of Cancer Research) & AstraZeneca

(2021-10 - 2025-10)

Conducted doctoral research at a world-leading cancer research institute | Selected for competitive UKRI-funded PhD studentship in partnership with AstraZeneca

• Advanced analytics to analyse multi-omic datasets, including multiplex imaging, RNA-seq, and metabolomics
• Designed and deployed a multi-modal deep learning model integrating biological data modalities to improve disease classification and identify novel biomarkers
• Led development of a spatial analysis pipeline application at AstraZeneca, improving image analysis efficiency and enabling broader organisational adoption
• Authored four peer-reviewed publications in computational biology and AI-driven disease modelling
• Collaborated on interdisciplinary projects in chronic kidney disease and metabolic disease research

iCASE Ph.D. - AI & Data Science - ICR (Institute of Cancer Research) & AstraZeneca (2021-10 - 2025-10)

Masters - Integrated Immunology - University of Oxford (2019-09 - 2020-08)

B.Sc. (Hons) - Applied Medical Science - University College London (UCL) (2016-09 - 2019-06)