Gurpreet S. Nanda

About Gurpreet S. Nanda

Experienced in advanced analytics, data science, and AI strategy, I am passionate about driving innovation and creating measurable business impact. My expertise lies in leveraging data-driven methodologies to solve complex and ambiguous business challenges, optimize processes, and enhance product roadmaps.Currently, I serve as the Head of Applied Machine Learning at Bayer AG, where I lead initiatives to integrate AI models into R&D workflows, streamline drug discovery, and foster cross-functional collaboration. My previous roles at GlaxoSmithKline and Weill Cornell Medicine have equipped me with a strong foundation in developing scalable AI solutions, modernizing drug discovery pipelines, and advancing medical imaging through deep learning.I am adept at building and mentoring high-performing teams, fostering a culture of collaboration and excellence, and driving strategic objectives. My technical and business acumen allows me to proactively engage with stakeholders, deliver high-quality results, and ensure compliance with industry standards and ethical guidelines.I am excited about the opportunity to connect with like-minded professionals and explore how we can push boundaries and shape the future of work together. Let\'s connect and discuss how we can leverage data science and AI to drive innovation and create impactful solutions.

Experience

1. Sr Dir, Head of Applied Machine Learning

   Bayer

   Jul 2022 — Present · Whippany, NJ, US

   Developed and executed AI/ML strategies aligned with organizational goals, integrating AI models into R&D workflows to streamline drug discovery and commercialization. Led initiatives to enhance data-driven decision-making and improve research outcomes.• Spearheaded cross-functional collaborations between data scientists, domain experts, and engineers to deliver scalable solutions. Fostered a collaborative environment that encouraged innovation and knowledge sharing.• Established robust validation pipelines ensuring reliability, scalability, and compliance with AI models in pharmaceutical applications. Implemented best practices for model validation and monitoring to ensure high-quality results.• Championed continuous learning and innovation through workshops and knowledge-sharing sessions to maintain cutting-edgeAI practices. Organized training programs and seminars to keep the team updated on the latest advancements in AI.

Education

• National University of Singapore

  Doctor of Philosophy (Ph.D.), Chemical and Biomolecular Engineering

Skills

• C
• Programming
• Tensorflow
• Java
• Artificial Intelligence
• Biotechnology
• C++
• Python
• Perl
• Self Organising Maps
• R
• Big Data
• Clinical Decision Support
• Data Analysis
• Perl-Tk Module
• Matlab
• Microsoft Office
• Cognitive Neuroscience