Aryan Isaac Bhobe
Machine Learning Scientist @MSD
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WORK HISTORY
Machine Learning Scientist @MSD
London, GB
Using computational biology, bioinformatics and network biology to analyse multi omics and high-dimensional time series datasets and machine learning toolkits to augment target discovery efforts- Using computer vision and deep learning methods to integrate imaging and genomics data in order to link them to disease phenotypes and work with knowledge graphs to improve discovery of novel disease mechanisms- Advancing the use of natural language processing (NLP) tools to improve understanding of diseases and therapeutic targets
EDUCATION
Sharada Mandir School
Class XII - ISC, Science: English, Physics, Chemistry, Mathematics & Computer Science
Sharada Mandir School
Class X - ICSE
University of Bath
B.Sc (Hons), Computer Science & Artificial Intelligence
ABOUT ARYAN ISAAC BHOBE
3rd-year Computer Science & Artificial Intelligence student with solid foundations in machine learning, deep learning, and statistical analysis. Experienced in designing, training, and optimising deep learning models—including convolutional neural networks, transformers, and recurrent architectures—for applications ranging from computer vision to longitudinal biomedical data analysis.Specialised in statistical rigor and exploratory data analysis, with strong skills in vision models, probabilistic modeling, time series analysis, and experiment tracking to ensure robust, interpretable solutions.Keenly interested in computational neuroscience and bioinformatics, with a focus on using AI to support clinical research and drive precision medicine.Motivated to develop explainable and trustworthy AI solutions that translate research into real-world impact. Collaborative and eager to learn within interdisciplinary teams.
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