Summary
Shivaprasad Patil is an Associate Director in Bioinformatics & Predictive AI with ~9 years’ experience applying multi-omics, imaging and clinical data to accelerate target discovery, biomarker development and safety prediction across drug development. He builds end-to-end in silico pipelines and AI models—ranging from spatial and single-cell genomics to Cell Painting and proteomics—to reveal mechanisms of action and refine candidate selection within regulated clinical contexts. His work spans academia and industry (AZ, GSK, OncoRay, KU Leuven), delivering translational signatures used for patient stratification and prospective clinical trials. Known for cross-disciplinary collaboration, he combines hands-on computational rigor with stakeholder-facing communication and department-level adoption of state-of-the-art methods. An unexpected thread in his background is deep fieldwork and analytical discipline from a thesis studying cricket acoustic ecology, reflecting a long-standing affinity for complex, data-rich biological systems.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics and Biomedicine, Doctor of Philosophy - PhD, Biostatistics and Biomedicine at Technische Universität Dresden
Integrate BS-MS, Biology/Biological Sciences, General, 8.3/10, Integrate BS-MS, Biology/Biological Sciences, General, 8.3/10 at Indian Institute of Science Education and Research (IISER), Mohali
English, Hindi, Kannada, Marathi, German