Manas Shah

VP, Computational Engineering | Modeling, Simulation & AI | Building Scientific Software at Scale

Role
VP, Computational Engineering at Simulations Plus, Inc.
Location
San Diego, CA, US
LinkedIn followers
500 followers

About Manas Shah

Technology and engineering leader building AI-enabled scientific simulation platforms for pharma and biotech. Work sits at the intersection of scientific computing, software product development, and applied modeling - turning sophisticated computational methods into commercial-grade solutions that scientists can trust.14+ years of experience designing, shipping, and sustaining scientific software across energy and life sciences. Track record of leading large engineering organizations to deliver complex products from concept to market, including architecture, implementation, performance engineering, verification, release, and long-term lifecycle support.Technical foundation spans mathematical modeling, numerical methods, optimization, and machine learning. Increasing focus on integrating AI into simulation engines, thereby enhancing productivity, automating repetitive scientific tasks, and improving decision-making - while preserving rigor, interpretability, and reproducibility.Strong orientation toward scalable platforms and strong teams: shared components, engineering standards, and modern delivery practices that accelerate execution across multiple products.

Experience

  1. VP, Computational Engineering

    Simulations Plus, Inc.

    Oct 2025 — Present · San Diego, CA, US

Education

  • Atomic Energy Junior College

    Higher Secondary Education, Science

    1998 — 2000

  • Indian Institute of Technology, Bombay

    B. Tech, Chemical Engineering

    2000 — 2004

  • The University of Texas at Austin

    PhD, Chemical Engineering

    2004 — 2009

Skills

  • Crystallization
  • Fortran
  • Process Simulation
  • Polymers
  • Molecular Simulations
  • Polymer Physics
  • Organic Chemistry
  • Physics
  • Thin Films
  • Aspen Hysys
  • Chemical Engineering
  • Numerical Analysis
  • Matlab
  • Simulations
  • Materials Science
  • Software Development
  • Thermodynamics
  • C++
  • Molecular Modeling
  • Scientific Computing
  • Mathematical Modeling

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