Avish Vijayaraghavan

I’m a scientist-engineer interested in machine learning and pharma, based in West London. I believe deeply in productive collaboration between public and private sectors, and my mission is to build out a pharma model that works with the NHS. This has taken me through several experiences in academia, government, and industry.

Currently, I’m in the home stretch of my PhD in AI for Healthcare at Imperial working on clinical omics models for IPF, a rare lung disease. My general research interests revolve around building interpretable models and tools for biomedical data. Before this, I did a master’s in precision medicine at UCL, and a bachelor’s in maths and computer science, also at Imperial.

On the industry/government side, I’ve done a few internships. My first was with Microsoft Research’s BioML team, working on interpretable neural networks for Parkinson’s proteomics - this collaboration is ongoing. My second was between the data science teams of the NHS and Great Ormond Street Hospital, building annotation workflows for paediatric kidney reports using LLMs. I recently did a third, again at Great Ormond Street Hospital, this time in their partnership with Roche, using LLMs to analyse paediatric cancer reports. I vlogged about the GOSH-Roche internship here.

To get a broader understanding of the healthcare and pharma ecosystem, I was a fellow at No Patient Left Behind, a US non-profit dedicated to making pharma innovation affordable via health insurance reform. My notes from the fellowship are here. I’ve also tutored GCSE, A-Level, and undergraduate students, and done consulting work for life sciences and tech companies.

My CV is available here. If you’d like to get in contact, drop me a message on LinkedIn, X, or email. Outside of work, I occasionally write, make videos, and make tunes.