Siddharth Ramchandran is a data scientist and PhD candidate with a decade of experience building and translating cutting-edge machine learning and deep generative models into real-world solutions across healthcare, academia, and finance. He has led research collaborations with institutions such as the University of Oxford, HUS Helsinki University Hospital, and Bayer, and has published work on novel unsupervised generative approaches for large-scale clinical data. Currently driving AI innovation at OP Financial Group’s Finanssiäly Lab, he combines classical ML, Bayesian methods and agentic/generative frameworks to prototype high-impact financial applications while upskilling teams in emerging AI technologies. Known for turning noisy, high-dimensional healthcare signals into actionable models, he bridges rigorous research with production-minded engineering. His background includes organizing Aalto’s deep learning curriculum and developing practical ML systems from rural e-commerce platforms to seismic interpretation tools, reflecting broad domain curiosity and applied impact.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Machine learning and statistical medicine, Doctor of Philosophy - PhD, Machine learning and statistical medicine at Aalto University
Bachelor of Technology (B.Tech.), Information Technology, CGPA: 9.73 / 10.0 (Ranked #1 among a class of 242), Bachelor of Technology (B.Tech.), Information Technology, CGPA: 9.73 / 10.0 (Ranked #1 among a class of 242) at Vellore Institute of Technology
Senior School, Senior School at National Public School, Koramangala, Bangalore
Gaussian process regression + automatic model selection for logitudinal -omics data
Contributions:1 PR, 11 pushes in 5 months
regressionmodel-selectionomicsgaussianselection
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.