Nirmal Keshava

Data Science Executive with 20+ years of experience across pharma/health, defense, and telecommunication developing and executing AI/data science strategies looking to leverage wide academic and industrial experience in social and environmental impact. Built, led and mentored teams of engineers, scientists, and physicians to deliver sustainable enterprise value creation. Translated complex scientific and mathematical concepts for diverse audiences and proactively managed organizational change and stakeholder expectations. Recognized by NSF, NAE, and IEEE for unlocking transformational opportunities. Expertise in AI/ML and statistical performance modeling, simulation, and analysis to uncover and define novel value propositions. Architected ML pipelines for multi-sensor deception detection, neuroimaging for PTSD/TBI/pain, biomarker identification for tuberculosis, GC-MS metabolomics, Gen AI-driven molecular lead optimization, protein folding prediction and comparisons, spectral imaging algorithms for satellite anomaly detection and melanoma detection, and clinical trial planning using operational and claims data. Introduced and grew knowledge graphs as foundational capability for strategic decision-making for life cycle management, target discovery, drug repurposing, and data management. Led internal business development and extramural proposals to DARPA, IARPA, DoD/IC, NIH, US Army, and DHS that resulted in million-dollar programs. Partnered with universities, physicians, and scientists, leading to patents, publications, and funding.