Santosh Philips, PhD

Bio

Dr. Santosh Philips works across precision medicine, pharmacogenomics, and clinical informatics, with an emphasis on understanding patient variability and improving therapeutic decision-making through data-driven approaches. His research integrates translational pharmacogenomics and biomedical informatics, with prior work identifying and experimentally validating drug–gene interactions, drug repurposing opportunities, as well as genetic variants that influence gene activity and cellular viability. Across these efforts, Dr. Philips has applied machine learning and quantitative methods to integrate clinical and molecular data and generate biologically and clinically meaningful insights. Dr. Philips has contributed to numerous collaborative research initiatives and has authored more than 40 peer-reviewed publications. His current research centers on the development of analytical pipelines for biomarker discovery and predictive modeling, aimed at identifying individuals at risk for severe adverse drug reactions, including toxicities associated with chemotherapeutic agents. With training in pharmacy, bioinformatics, and business, Dr. Philips emphasizes rigorous evaluation, generalizability, and translational relevance in his work. A central focus of his work is ensuring that computational and molecular discoveries translate into reliable evidence that can support more effective, safer, and personalized therapies.