About the expert

Roman Sen

Head of Data-Driven Life Science

Roman Sen leads AI-driven initiatives across drug discovery, clinical development, and healthcare delivery. He works with pharma companies, healthcare providers, and CROs to make large, messy datasets usable for research and care. With a background in software engineering and AI leadership, Roman focuses on building solutions that fit regulated environments and support real work in labs, trials, and clinical settings.

Areas of expertise

Clinical trial data platforms, real-world evidence, and GenAI for medical and clinical documentation (LLMs, RAG, NLP).
Healthcare systems, covering EHR and lab integration, AI-based clinical decision support, telemedicine, and remote patient monitoring.
Drug discovery and development workflows such as generative design, virtual screening, multi-omics analytics, and ADMET prediction.
End-to-end AI consulting and MLOps in regulated environments, from early PoCs to production systems integrated with CTMS, LIMS, EHRs, and enterprise data platforms.

Experience overview

Roman has more than 10 years of experience in AI, data engineering, and software development, with a strong focus on life sciences and healthcare in recent years. He has led cross-functional teams working on target discovery, clinical trial optimization, pharmacovigilance, hospital workflows, telehealth, and remote patient monitoring. His work includes contributions to large-scale platforms such as health information exchanges, pharma analytics warehouses, GenAI tools for clinical documentation, and care delivery systems used by healthcare providers.

Hobbies and interests

Outside of work, Roman enjoys drawing as a way to slow down and think visually. He also likes building things from construction sets, turning loose parts into models and structures, and enjoying the process of seeing something come together step by step.

Portfolio

Thought leadership

Speaking engagements

AI-Enabled Pharma Analytics and Data Platforms, AUTOMA+ 2025, November 2025

External publications

CADD for CML: How Do You Choose the Right Mutations to Target

Target Identification Approaches

Blog articles

Blog

AI in drug discovery: revolutionizing the future of medicine

AI in pharma: How ML & predictive modeling slash drug development time and costs while boosting success rates.

Roman Sen

Nov 20, 2024

Testimonials

“Roman is very good at asking the right questions early. That saves a lot of time later, especially in healthcare projects where details matter and assumptions can be risky.”

Alex P. Senior Data Engineer

“Working with Roman feels structured and calm. He understands both the technical side and the domain side, so conversations stay practical and focused.”

Anna K. Solution Architect

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